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Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Taieb, S. B., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Oliveira, F. L. C., Baets, S. D., Dokumentov, A., ... Ziel, F. (2022). Forecasting: theory and practice. International Journal of Forecasting. https://doi.org/10.1016/j.ijforecast.2021.11.001
Van Der Heijden, P. G. M., Cruyff, M., Smith, P. A., Bycroft, C., Graham, P., & Matheson-Dunning, N. (2022). Multiple system estimation using covariates having missing values and measurement error: Estimating the size of the Maori population in New Zealand. Journal of the Royal Statistical Society. Series A (General), 185, 185 - 177. https://doi.org/10.1111/rssa.12731
Smith, P. A. (2021). Sorosphaerula veronicae in the Outer Hebrides. Cecidology, 36(2), 105-106.
Rampazzo, F., Bijak, J., Vitali, A., Weber, I., & Zagheni, E. (Accepted/In press). A framework for estimating migrant stocks using digital traces and survey data: an application in the United Kingdom. Demography.
Zult, D., de Wolf, P. P., Bakker , B. F. M., & Van Der Heijden, P. (2021). A general framework for multiple-recapture estimation that incorporates linkage error correction. Journal of Official Statistics, 37(3), 699–718. https://doi.org/10.2478/JOS-2021-0031
Kessels, R., Moerbeek, M., Bloemers, J., & Van Der Heijden, P. G. M. (2021). A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data. Biometrical Journal, 63(8), 1652-1672. https://doi.org/10.1002/bimj.202100046
Nilsen, K., Tejedor-Garavito, N., Leasure, D. R., Utazi, C. E., Ruktanonchai, C. W., Wigley, A. S., Dooley, C. A., Matthews, Z., & Tatem, A. J. (2021). A review of geospatial methods for population estimation and their use in constructing reproductive, maternal, newborn, child and adolescent health service indicators. BMC Health Services Research, 21(1), [370]. https://doi.org/10.1186/s12913-021-06370-y
Berger, Y., & Patilea, V. (2021). A semi-parametric empirical likelihood approach for conditional estimating equations under endogenous selection: empirical likelihood approach for conditional estimating equations. Econometrics and Statistics. https://doi.org/10.1016/j.ecosta.2021.12.004
Chandra-Mouli, V., Neal, S., & Moller, A-B. (2021). Adolescent sexual and reproductive health for all in sub-Saharan Africa: a spotlight on inequalities. Reproductive Health, 18(118), [118]. https://doi.org/10.1186/s12978-021-01145-4
Smith, P. A., Nikolova, A. S., & Elliott, D. (Accepted/In press). An improved definition of official excess winter mortality statistics as the basis for detailed analysis and monitoring. Journal of Economic and Social Measurement.
Smith, P. A., Strachan, I. M., & Coupar, A. M. (2021). An overview of Scheuchzeria palustris in Scotland and a new locality in Westerness (v.c.97). British and Irish Botany, 3(1), 58-64. https://doi.org/10.33928/bib.2021.03.058
Smith, P. A., Lutz, M., Chater, A. O., & Woods, R. G. (2021). Anther smuts on Butterworts (Pinguicula spp.). Field Mycology, 22(1), 5-11. https://doi.org/10.1016/j.fldmyc.2021.02.004
Chimbindi, N., Mthiyane, N., Zuma, T., Baisley, K., Pillay, D., Mcgrath, N., Harling, G., Sherr, L., Birdthistle, I., Floyd, S., Dreyer, J., Nakasone, S., Seeley, J., & Shahmanesh, M. (2021). Antiretroviral therapy based HIV prevention targeting young women who sell sex: a mixed method approach to understand the implementation of PrEP in a rural area of KwaZulu-Natal, South Africa. AIDS Care. https://doi.org/10.1080/09540121.2021.1902933
Sammani, A., Bagheri, A., Van Der Heijden, P., te Riele, A. S. J. M., Baas, A. F., Oosters, C. A. J., Oberski , D., & Asselbergs , F. W. (2021). Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks. npj Digital Medicine, 4(1), [37]. https://doi.org/10.1038/s41746-021-00404-9
Berger, Y., Chiodini, P., & Zenga, M. (2021). Bounds for monetary-unit sampling in auditing: an adjusted empirical likelihood approach. Statistical Papers, 62(6), 2739-2761.
Mayra, K., Padmadas, S. S., & Matthews, Z. (2021). Challenges and needed reforms in midwifery and nursing regulatory systems in India: Implications for education and practice. PLoS ONE, 16(5), 1-18. [e0251331]. https://doi.org/10.1371/journal.pone.0251331
Mthiyane, N., Harling, G., Chimbindi, N., Baisley, K., Seeley, J., Dreyer, J., Zuma, T., Birdthistle, I., Floyd, S., Mcgrath, N., Tanser, F., Shahmanesh, M., & Sherr, L. (2021). Common mental disorders and HIV status in the context of DREAMS among Adolescent Girls and Young Women in rural KwaZulu-Natal, South Africa. BMC Public Health, 21(478), [478]. https://doi.org/10.1186/s12889-021-10527-z
Polanec, S., Smith, P. A., & Bavdaž, M. (Accepted/In press). Determination of the threshold in cutoff sampling using response burden with an application to Intrastat. Journal of Official Statistics.
Clifford, D. (2021). Disparities by deprivation: the geographical impact of unprecedented changes in local authority financing on the voluntary sector in England. Environment and Planning A, 53(8), 2050-2067. https://doi.org/10.1177/0308518X211034869
Moore, J. C., Durrant, G. B., & Smith, P. W. F. (2021). Do coefficients of variation of response propensities approximate non-response biases during survey data collection? Journal of the Royal Statistical Society. Series A: Statistics in Society, 184(1), 301-323. https://doi.org/10.1111/rssa.12624
Zilanawala, A. (2021). Educational gradients in nonstandard work schedules among mothers and fathers in the United Kingdom. Demographic Research, 44, 609-626. https://doi.org/10.4054/DemRes.2021.44.26
Smith, P. A. (2021). Ergots Claviceps spp. in the Outer Hebrides. Hebridean Naturalist, 21, 26-29.
Smith, P. A. (2021). Estimating sampling errors in consumer price indices. International Statistical Review, 89(3), 481-504. https://doi.org/10.1111/insr.12438
Pfeffermann, D., & Preminger, A. (2021). Estimation under mode effects and proxy surveys, accounting for non-ignorable nonresponse. Sankhya A. https://doi.org/10.1016/j.ijforecast.2021.04.008
Dawber, J., Würz, N., Smith, P. A., Flower, T., Thomas, H., Schmid, T., & Tzavidis, N. (Accepted/In press). Experimental UK regional consumer price inflation with model‐based expenditure weights. Journal of Official Statistics.
Smith, P. A., Chater, A. O., & Woods, R. G. (2021). Four anther smut galls new for or rare in Britain and Ireland. Cecidology, 36(2), 79-85.
Sagoe, D., Cruyff, M., Spendiff, O., Chegeni, R., De Hon, O., Van Der Heijden, P., Saugy, M., & Petróczi, A. (Accepted/In press). Functionality of the crosswise model for assessing sensitive or transgressive behavior: a systematic review and meta-analysis. Frontiers in Psychology, [655592]. https://doi.org/10.3389/fpsyg.2021.655592/
Smith, P. A., Jones, J., & Dyke, R. (2021). Gall-forming anther smut Microbotryum majus in Breckland. Field Mycology, 22(4), 137-138. https://doi.org/10.1016/j.fl dmyc.2021.10.011
Chao, S. (2021). Gender inequality in housework: persistence and change by partnership and parenthood status in the early 2000s. Journal of Family Issues. https://doi.org/10.1177/0192513X211031757
Zhang, L-C. (2021). Generalised regression estimation given imperfectly matched auxiliary data. Journal of Official Statistics, 37(1), 239 - 255. https://doi.org/10.2478/jos-2021-0010
Pezzulo, C., Nilsen, K., Carioli, A., Tejedor Garavito, N., Hanspal, S. E., Hilber, T., James, W. HM., Ruktanonchai, C. W., Alegana, V. A., Sorichetta, A., Wigley, A., Hornby, G., Matthews, Z., & Tatem, A. (2021). Geographical distribution of fertility rates in 70 low-income, lower-middle-income, and upper-middle-income countries, 2010–16: a subnational analysis of cross-sectional surveys. The Lancet Global Health, 9(6), E802-E812. https://doi.org/10.1016/S2214-109X(21)00082-6
Zhang, L-C. (Accepted/In press). Graph sampling by lagged random walk. Stat.
McManus, R., Little, P., Stuart, B., Morton, K. S., Raftery, J., Kelly, J. M., Bradbury, K., Zhang, J., Zhu, S., Murray, E., May, C. R., Mair, F., Michie, S., Smith, P. W. F., Band, R., Ogburn, E., Allen, J., Rice, C., Nuttall, J., ... Yardley, L. (2021). Home and Online Management and Evaluation of Blood Pressure (HOME BP) using a digital intervention in poorly controlled hypertension: randomised controlled trial. British Medical Journal, 372, [m4858]. https://doi.org/10.1136/bmj.m4858
Prike, T., Bijak, J., Higham, P., & Hilton, J. (Accepted/In press). How safe is this trip? Judging personal safety in a pandemic based on information from different sources. Journal of Experimental Psychology: Applied. https://doi.org/10.1037/xap0000415
Melesse, D., Cane, R., Mangombe, A., Bamgeboye, E., Manu, A., Mohiddin, A., Kananura, R., Akwara, E., Du Plessis, E., Wado, Y., Matua, M., Mekonnen, W., Faye, C., Neal, S., & Boerma, T. (2021). Inequalities in early marriage, childbearing and sexual debut among adolescents in sub-Saharan Africa. Reproductive Health, 18(117), [117]. https://doi.org/10.1186/s12978-021-01125-8
Baffour, B., Brown, J. J., & Smith, P. W. F. (2021). Latent class analysis for estimating an unknown population size - with application to censuses. Journal of Official Statistics, 37(3), 673-697. https://doi.org/10.2478/jos-2021-0030
Taylor, E. J., Doh, P., Ziauddeen, N., Godfrey, K., Berrington, A., & Alwan, N. (2021). Maternal smoking behaviour across the first two pregnancies and small for gestational age birth: Analysis of the SLOPE (Studying Lifecourse Obesity PrEdictors) population-based cohort in the South of England. PLoS ONE, 16(11 November), [e0260134]. https://doi.org/10.1371/journal.pone.0260134
Lee, D., Zhang, L-C., & Kim, J-K. (Accepted/In press). Maximum entropy classification for record linkage. Survey Methodology.
Smith, P. A., & Ralph, J. (2021). Measuring the General Level of Prices in the UK in the long-Nineteenth Century: from Individual Innovation to State Production. Romance, Revolution and Reform, (3), 10-35. [2].
Czaika, M., Bijak, J., & Prike, T. (2021). Migration decision-making and its key dimensions. The Annals of the American Academy of Political and Social Science, 697(1), 15-31. https://doi.org/10.1177/00027162211052233
Fortunati, L., De Luca, F., & Farinosi, M. (2021). Mobile sociality and the use of the network of personal technologies. Information, Communication and Society, 1-16. https://doi.org/10.1080/1369118X.2021.1963461
Hilton, J., Dodd, E., Forster, J., & Smith, P. W. F. (2021). Modelling frontier mortality using Bayesian generalised additive models. Journal of Official Statistics, 37(3), 569-589. https://doi.org/10.2478/jos-2021-0026
Van Der Heijden, P. (Accepted/In press). Multilevel analyses of on-demand medication data, with an application to the treatment of Female Sexual Interest/Arousal Disorder. Biometrical Journal, 14(8), [e0221063]. https://doi.org/10.1371/journal.pone.0221063
Patone, M., & Zhang, L-C. (2021). On two existing approaches to statistical analysis of social media data. International Statistical Review, 89(1), 54-71. https://doi.org/10.1111/insr.12404
Łukasik, S., Bijak, J., Krenz-Niedbała, M., & Sinika, V. (2021). Paleodemographic analysis of age at death for a population of Black Sea Scythians: an exploration by using Bayesian methods . American Journal of Physical Anthropology, 174(4), 595-613. https://doi.org/10.1002/ajpa.24211
Channon, M., Puri, M., Gietel-Basten, S., Williams Stone, L., & Channon, A. A. (2021). Prevalence and correlates of sex-selective abortions and missing girls in Nepal: evidence from the 2011 Population Census and 2016 Demographic and Health Survey. BMJ Open, 11(e042542), [e042542]. https://doi.org/10.1136/bmjopen-2020-042542
Miller, S. J., Ainsworth, B., Weal, M., Smith, P. W. F., Little, P., Yardley, L., & Morrison, L. (2021). Process evaluations of a web-based intervention to increase handwashing during a pandemic: Moving Germ Defence from a randomised controlled trial to public dissemination. Journal of Medical Internet Research. https://doi.org/10.2196/26104
Sayaga, D., Ben-hura , D., & Pfeffermann, D. (Accepted/In press). Reducing revisions in house price indices by use of nowcasting models. International Journal of Forecasting.
Maslovskaya, O., & Lugtig, P. (Accepted/In press). Representativeness in six waves of CROss-National online survey (CRONOS) panel. Journal of the Royal Statistical Society. Series A (General).
Smith, P. A., Bocci, C., Tzavidis, N., Krieg, S., & Smeets, M. JE. (2021). Robust estimation for small domains in business surveys. Journal of the Royal Statistical Society, Series C (Applied Statistics), 70(2), 312-334. https://doi.org/10.1111/rssc.12460
Berrington, A., Ellison, J., Kuang, B., Vasireddy, S., & Kulu, H. (2021). Scenario-Based Fertility Projections Incorporating Impacts of COVID-19. Population, Space and Place. https://doi.org/10.1002/psp.2546
Vaisanen, H., Moore, A. M., Owolabi, O., Stillman, M., Fatusi, A. O., & Akinyemi, A. (2021). Sexual and reproductive health literacy, misoprostol knowledge and use of medication abortion in Lagos State, Nigeria: a mixed methods study. Studies in Family Planning, 52(2), 217-237. https://doi.org/10.1111/sifp.12156
Clark, S. N., Bennett, J. E., Arku, R. E., Hill, A. G., Fink, G., Adanu, R. M., Biritwum, R. B., Darko, R., Bawah, A., Duda, R. B., & Ezzati, M. (2021). Small area variations and factors associated with blood pressure and body mass index in adult women in Accra, Ghana: Bayesian spatial analysis of a representative population survey and census data. PLoS Medicine, 18(11), [e1003850]. https://doi.org/10.1371/journal.pmed.1003850
Johnson, M. J., Darbes, L., Hosegood, V., Johnson, M., Fritz, K., Ngubane, T., van Rooyen, H., & Mcgrath, N. (2021). Social influence and uptake of couples HIV testing and counselling in KwaZulu‑natal, South Africa. AIDS and Behavior. https://doi.org/10.1007/s10461-021-03435-1
Berger, Y. (Accepted/In press). Testing conditional moment restriction models using empirical likelihood: empirical likelihood and conditional moment restriction. The Econometrics Journal. https://doi.org/10.1093/ectj/utab032
Tocchioni, V., Berrington, A., Vignoli, D., & Vitali, A. (2021). The changing association between homeownership and the transition to parenthood. Demography, 58(5), 1843-1865. [9420322]. https://doi.org/10.1215/00703370-9420322
Sturgis, P., Maslovskaya, O., Durrant, G., & Brunton-Smith, I. (2021). The interviewer contribution to variability in response times in face-to-face interview surveys. Journal of Survey Statistics and Methodology, 9(4), 701-721. https://doi.org/10.1093/jssam/smaa009
Garbett, A., Perelli-Harris, B., & Neal, S. (2021). The untold story of 50 years of adolescent fertility in West Africa: A cohort perspective on the quantum, timing, and spacing of adolescent childbearing. Population and Development Review, 47(1), 7-40. https://doi.org/10.1111/padr.12384
Shahmanesh, M., Okesola, N., Chimbindi, N., Zuma, T., Mthiyane, N., Adeagbo, O., Dreyer, J., Herbst, C., Mdluli, S., Mcgrath, N., Harling, G., Sherr, L., & Seeley, J. (2021). Thetha Nami : participatory development of a peer-navigator intervention to deliver biosocial HIV prevention for adolescents and youth in rural South Africa. BMC Public Health, 21(1), [1393]. https://doi.org/10.1186/s12889-021-11399-z
Napierała, J., Hilton, J., Forster, J. J., Carammia, M., & Bijak, J. (Accepted/In press). Toward an early warning system for monitoring asylum-related migration flows in Europe. International Migration Review.
Troccoli, G., Moreh, C., McGhee, D., & Vlachantoni, A. (2021). Transnational healthcare as process: multiplicity and directionality in the engagements with healthcare among Polish migrants in the UK. Journal of Ethnic and Migration Studies. https://doi.org/10.1080/1369183X.2021.1941820
Vaisanen, H., & Batyra, E. (2021). Unintended pregnancy resolution among parous women in twelve low- And middle-income countries. Journal of Biosocial Science. https://doi.org/10.1017/S0021932021000225
Mayra, K., Matthews, Z., & Padmadas, S. S. (2021). Why do some health care providers disrespect and abuse women during childbirth in India? Women and Birth, 1-11. https://doi.org/10.1016/j.wombi.2021.02.003
Smith, P. A., & Ruhsam, M. (2021). Wild apple Malus sylvestris on Pabaigh Mor. Hebridean Naturalist, 21, 49-51.
Smith, P. A. (2020). Rhopalomyia ptarmicae – a bud gall of Achillea ptarmica (Sneezewort) – in the Outer Hebrides. Hebridean Naturalist, 20, 51-54.
Melesse, D., Matua, M., Choudhury , A., Wado, Y., Faye, C., Neal, S., & Boerma, T. (2020). Adolescent sexual and reproductive health in sub-Saharan Africa: who is left behind? BMJ Global Health, 5(1), [e002231].
Zhang, L-C., & Nguyen, N. (2020). An appraisal of common reweighting methods for nonresponse in household surveys based on Norwegian Labour Force Survey and Statistics on Income and Living Conditions Survey. Journal of Official Statistics, 36(1), 151-172. https://doi.org/10.2478/JOS-2020-0008
Berger, Y. (2020). An empirical likelihood approach under cluster sampling with missing observations. Annals of the Institute of Statistical Mathematics, 72(1), 91-121. https://doi.org/10.1007/s10463-018-0681-x
Taylor, E. J., Wilding, S., Ziauddeen, N., Godfrey, K., Berrington, A., & Alwan, N. (2020). Change in modifiable maternal characteristics and behaviours between consecutive pregnancies and offspring adiposity: a systematic review. Obesity Reviews, 21(11), [e13048]. https://doi.org/10.1111/obr.13048
Powell, B., & Smith, P. A. (2020). Computing expectations and marginal likelihoods for permutations. Computational Statistics, 35(2), 871-891. https://doi.org/10.1007/s00180-019-00901-2
Berger, Y., & Gedik Balay, İ. (2020). Confidence intervals of Gini coefficient under unequal probability sampling. Journal of Official Statistics, 36(2), 237-249. https://doi.org/10.2478/jos-2020-0013
Sanguiao Sande, L., & Zhang, L-C. (2020). Design-unbiased statistical learning in survey sampling. Sankhya: The Indian Journal of Statistics. https://doi.org/10.1007/s13171-020-00224-1
Kibuchi, E., Sturgis, P., Durrant, G., & Maslovskaya, O. (2020). Do interviewers moderate the effect of monetary incentives on response rates in household interview surveys? Journal of Survey Statistics and Methodology, 8(2), 264-284. https://doi.org/10.1093/jssam/smy026
Wheelwright, S., Permyakova, N. V., Calman, L., Din, A., Fenlon, D., Richardson, A., Sodergren, S., Smith, P. W. F., Winter, J., & Foster, C. (2020). Does quality of life return to pre-treatment levels five years after curative intent surgery for colorectal cancer? Evidence from the ColoREctal Wellbeing (CREW) study. PLoS ONE, 15(4), 1-21. [e0231332]. https://doi.org/10.1371/journal.pone.0231332
Smith, P. A. (2020). Dwarf Willow ‐ Salix herbacea in the Outer Hebrides. Hebridean Naturalist, 20, 27-29.
Ruktanonchai, C. W., Nieves, J. J., Ruktanonchai, N., Nilsen, K., Steele, J., Matthews, Z., & Tatem, A. (2020). Estimating uncertainty in geospatial modelling at multiple spatial resolutions: the pattern of delivery via caesarean section in Tanzania. BMJ Global Health, 4(e002092), 1-8. [e002092]. https://doi.org/10.1136/bmjgh-2019-002092
Bagheri, A., Sammani, A., Van Der Heijden, P., Asselbergs, F. W., & Oberski, D. L. (2020). ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients' disease history. Journal of Intelligent Information Systems, 55(2), 329-349. https://doi.org/10.1007/s10844-020-00605-w
Berrington, A. (2020). Expectations for family transitions in young adulthood among the UK second generation. Journal of Ethnic and Migration Studies, 46(5), 913-935. https://doi.org/10.1080/1369183X.2018.1539276
Grundy, E., Read, S., & Vaisanen, H. (2020). Fertility trajectories and later-life depression among parents in England. Population Studies, 74(2), 219-240. https://doi.org/10.1080/00324728.2019.1649450
Ellison, J., Dodd, E., & Forster, J. J. (2020). Forecasting of cohort fertility under a hierarchical Bayesian approach. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(3), 829-856. https://doi.org/10.1111/rssa.12566
Ferreira, L. Z., Blumenberg, C., Utazi, C. E., Nilsen, K., Hartwig, F. P., Tatem, A., & Barros, A. J. D. (2020). Geospatial estimation of reproductive, maternal, newborn and child health indicators: a systematic review of methodological aspects of studies based on household surveys. International Journal of Health Geographics, 19(41). https://doi.org/10.1186/s12942-020-00239-9
Driessens, C., Kingdon, D., Pilgrim, D., & Smith, P. W. F. (2020). Health and social care diversity among individuals with longstanding physical and psychological health problems: Pooled repeated cross sectional analyses. Community Mental Health Journal, 56(5), 978-987. https://doi.org/10.1007/s10597-020-00566-y
NCD Risk Factor Collaboration (NCD-RisC) (2020). Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries: pooled analysis of 2,182 population-based studies with 65 million participants. The Lancet, 396(10261), 1511-1524. [10261]. https://doi.org/10.1016/S0140-6736(20)31859-6
Heritage, T., Hinde, A., & Clifford, D. (2020). Household living arrangements and old age pauperism in late-Victorian England. Genealogy, 4(2), 1-13. https://doi.org/10.3390/genealogy4020055
Heino, A., Gissler, M., Malin, M., & Vaisanen, H. (2020). Induced abortions by woman’s country of origin in Finland 2001–2014. Scandinavian Journal of Public Health, 48(1), 88–95. https://doi.org/10.1177/1403494818812640
Shapiro, D., & Hinde, A. (Accepted/In press). Laggards in the global fertility transition. Vienna Yearbook of Population Research.
Zhang, L-C., & Tuoto, T. (2020). Linkage-data linear regression. Journal of the Royal Statistical Society: Series A (Statistics in Society). https://doi.org/10.1111/rssa.12630
Coulter, R., Bayrakdar, S., & Berrington, A. (2020). Longitudinal life course perspectives on housing inequality in young adulthood. Geography Compass, 14(5), [e12488]. https://doi.org/10.1111/gec3.12488
Al Aamri, A. K., Hornby, G., Zhang, L-C., Al-Maniri, A., & Padmadas, S. S. (2020). Mapping road traffic crash hotspots using GIS-based methods: a case study of Muscat Governorate in the Sultanate of Oman. Spatial Statistics, 1-26. [100458]. https://doi.org/10.1016/j.spasta.2020.100458
Wigley, A., Tejedor Garavito, N., Alegana, V. A., Carioli, A., Ruktanonchai, C. W., Pezzulo, C., Matthews, Z., Tatem, A., & Nilsen, K. (2020). Measuring the availability and geographical accessibility of maternal health services across sub-Saharan Africa. BMC Medicine, 18(237 (2020)), 1-10. [237 (2020)]. https://doi.org/10.1186/s12916-020-01707-6
Pfeffermann, D., Sverchkov, M., Tiller, R., & Liu, L. (2020). Model-based small area estimation with no samples within the areas, by benchmarking to marginal cross-sectional and time-series estimates. Statistical Theory and Related Fields, 4(1), 1-15. https://doi.org/10.1080/24754269.2020.1719470
Oguz Alper, M., & Berger, Y. (2020). Modelling multilevel data under complex sampling designs: an empirical likelihood approach. Computational Statistics and Data Analysis, 145, 1-16. [106906]. https://doi.org/10.1016/j.csda.2019.106906
Egberts, M. R., Engelhard, I. M., van de Schoot, R., Bakker, A., Geenen, R., Van Der Heijden, P., & Van Loey, N. E. E. (2020). Mothers’ emotions after pediatric burn injury: longitudinal associations with posttraumatic stress- and depressive symptoms 18 months postburn. Journal of Affective Disorders, 263, 463-471. https://doi.org/10.1016/j.jad.2019.11.140
Adams, H., Adger, W. N., Ahmad, S., Ahmed, A., Begum, D., Matthews, Z., Rahman, M. M., Nilsen, K., Gurney, G. G., & Streatfield, P. K. (2020). Multi-dimensional well-being associated with economic dependence on ecosystem services in deltaic social-ecological systems of Bangladesh. Regional Environmental Change, 20(2). https://doi.org/10.1007/s10113-020-01620-x
Frankland, J., Wheelwright, S., Permyakova, N. V., Wright, D., Collaço, N., Calman, L., Winter, J., Fenlon, D., Richardson, A., Smith, P. W., & Foster, C. (2020). Prevalence and predictors of poor sexual well-being over 5 years following treatment for colorectal cancer: results from the ColoREctal Wellbeing (CREW) prospective longitudinal study. BMJ Open, 10(11), [e038953]. https://doi.org/10.1136/bmjopen-2020-038953
Buchanan, R., Meskarian, R., Van Der Heijden, P., Grellier, L., Parkes, J., & Khakoo, S. (2020). Prioritising Hepatitis C treatment in people with multiple injecting partners maximises prevention: a real-world network study . Journal of Infection, 80(2), 225-231. https://doi.org/10.1016/j.jinf.2019.12.010
Wong, J. S. T., Forster, J. J., & Smith, P. W. F. (2020). Properties of the bridge sampler with a focus on splitting the MCMC sample. Statistics and Computing, 30(4), 799-816. https://doi.org/10.1007/s11222-019-09918-5
Zhang, L-C. (2020). Proxy expenditure weights for Consumer Price Index: audit sampling inference for big-data statistics. Journal of the Royal Statistical Society: Series A (Statistics in Society), 0, [rssa.12632]. https://doi.org/10.1111/rssa.12632
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Pfeffermann, D., & Ben-Hur, D. (2018). Estimation of randomisation mean square error in small area estimation. International Statistical Review, 1-19. https://doi.org/10.1111/insr.12289
Tzavidis, N., Zhang, L-C., Luna Hernandez, A., Schmid, T., & Rojas-Perilla, N. (2018). From start to finish: a framework for the production of small area official statistics. Journal of the Royal Statistical Society. Series A: Statistics in Society, 181(4), 927-979. https://doi.org/10.1111/rssa.12364
James, W. H. M., Tejedor Garavito, N., Hanspal, S. E., Sutton, A., Hornby, G., Pezzulo, C., Nilsen, K., Sorichetta, A., Ruktanonchai, C. W., Carioli, A., Kerr, D., Matthews, Z., & Tatem, A. (2018). Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean. Scientific Data, 5, [180090 ]. https://doi.org/10.1038/sdata.2018.90
Galofré-Vilà, G., Hinde, A., & Guntupalli, A. M. (2018). Heights across the last 2,000 years in England. Research in Economic History, 34, 67-98. https://doi.org/10.1108/S0363-326820180000034003
Szabo, S., Adger, W. N., & Matthews, Z. (2018). Home is where the money goes: migration- related urban - rural integration in delta regions. Migration and Development. https://doi.org/10.1080/21632324.2017.1374506
Brunton-Smith, I., Sturgis, P., & Leckie, G. (2018). How collective is collective efficacy? The importance of consensus in judgments about community cohesion and willingness to intervene. Criminology, 56(3), 608-637. https://doi.org/10.1111/1745-9125.12180
Pfeffermann, D. (2018). How I became a statistician — thank you speech at birthday dinner. Statistical Theory and Related Fields, 2(2), 222-224. https://doi.org/10.1080/24754269.2018.1525659
Francesconi, W., Bax, V., Blundo-Canto, G., Willcock, S., Cuadros, S., Vanegas, M., Quintero, M., & Torres-Vitolas, C. A. (2018). Hunters and hunting across indigenous and colonist communities at the forest-agriculture interface: An ethnozoological study from the Peruvian Amazon. Journal of Ethnobiology and Ethnomedicine, 14(1), [54]. https://doi.org/10.1186/s13002-018-0247-2
Nutbeam, D., McGill, B., & Premkumar, P. (2018). Improving health literacy in community populations: a review of progress. Health promotion international, 33(5), 901-911. https://doi.org/10.1093/heapro/dax015
Nicol-Harper, A., Dooley, C., Packman, D., Mueller, M., Bijak, J., Hodgson, D., Townley, S., & Ezard, T. (2018). Inferring transient dynamics of human populations from non-normality metrics. Population Ecology. https://doi.org/10.1007/s10144-018-0620-y, https://doi.org/10.1007/s10144-018-0620-y

Books

Bijak, J., Higham, P., Hilton, J., Hinsch, M., Nurse, S., Prike, T., Reinhardt, O., Smith, P. W. F., Uhrmacher, A. M., & Warnke, T. (Accepted/In press). Towards Bayesian Model-Based Demography: Agency, Complexity and Uncertainty in Migration Studies. (Methodos). Springer.
Chater, A. O., Woods, R. G., Stringer, R. N., Evans, D. A., & Smith, P. A. (2021). White Moulds, Ramularia and Phacellium Anamorphs, in Wales and Britain: a Guide and Welsh Census Catalogue. A.O. Chater.
Chater, A. O., Woods, R. G., Stringer, R. N., Evans, D. A., & Smith, P. A. (2020). Downy mildews (Peronosporaceae) and White blister-rusts (Albuginaceae) of Wales. A.O. Chater.
Falkingham, J., Evandrou, M., & Vlachantoni, A. (Eds.) (2020). The handbook on demographic change and the lifecourse. Edward Elgar. https://doi.org/10.4337/9781788974875
Ralph, J., O'Neill, R., & Smith, P. A. (2020). The Retail Prices Index: a Short History. Palgrave. https://doi.org/10.1007/978-3-030-46563-6
Zhang, L-C., & Chambers, R. L. (Eds.) (2019). Analysis of integrated data. (1 ed.) (Statistics in Social and Behavioral Sciences Series). CRC Press.
Bohning, D., Van Der Heijden, P. G. M., & Bunge, J. (2018). Capture-recapture methods for the social and medical sciences. (Interdisciplinary Statistics Series). Chapman & Hall/CRC.

Book Chapters

van den Brakel, J., Smith, P. A., Elliott, D., Krieg, S., Schmid, T., & Tzavidis, N. (2021). Assessing discontinuities and rotation group bias in rotating panel designs. In P. Lynn (Ed.), Advances in Longitudinal Survey Methodology (pp. 399-423). Wiley.
Berrington, A. (2021). Fertility desires, intentions and behaviour. In N. Schneider, & M. Kreyenfeld (Eds.), Research Handbook on the Sociology of the Family (pp. 248-262). Edward Elgar. https://www.e-elgar.com/shop/gbp/research-handbook-on-the-sociology-of-the-family-9781788975537.html
Villadsen, A., Berrington, A., Goodman, A., & Kneale, D. (2020). The contribution of the 1958 and 1970 British birth cohort studies to lifecourse research on family transitions. In J. Falkingham, M. E., & A. V. (Eds.), Handbook on Demographic Change and the Lifecourse Edward Elgar.
Bijak, J., & Bryant, J. (Accepted/In press). Bayesian Demography. In Wiley StatsRef: Statistics Reference Online [stat08273] Wiley.
Di Consiglio, L., Tuoto, T., & Zhang, L-C. (2019). Capture-recapture methods in the presence of linkage errors. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 39-72). (Statistics in the Social and Behavioral Sciences Series). CRC Press.
Tejedor Garavito, N., Nilsen, K., & Wigley, A. (2019). Chapter 4: Pregnancy heat maps and travel time maps. In The State Of The Pacific’s Reproductive, Maternal, Newborn, Child And Adolescent Health Workforce 2019 (pp. 93-108) https://pacific.unfpa.org/sites/default/files/pub-pdf/State%20of%20the%20Pacific%27s%20RMNCAH%20Workforce%20Report%202019.pdf
Van Der Heijden, P., Smith, P. A., Whittaker, J., Cruyff, M., & Bakker, B. F. M. (2019). Dual and multiple system estimation with fully and partially observed covariates. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1st ed., pp. 137-168). (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences). Chapman and Hall/CRC.
Zhang, L-C. (2019). Log-linear models of erroneous list data. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 197-218). (Statistics in the Social and Behavioral Sciences). CRC Press.
Zhang, L-C., & Chambers, R. L. (2019). Minimal Inference from incomplete 2x2-tables. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 121-136). (Statistics in the Social and Behavioral Sciences). CRC Press.
Zhang, L-C. (2019). On secondary analysis of datasets that cannot be linked without errors. In L-C. Zhang, & R. L. Chambers (Eds.), Analysis of Integrated Data (1 ed., pp. 13-38). (Statistics in the Social and Behavioral Sciences). CRC Press.
Amoako Johnson, F., & Hutton, C. W. (2018). A geospatial analysis of the social, economic and environmental dimensions and drivers of poverty in south-west coastal Bangladesh. In R. J. Nicholls, C. W. Hutton, W. N. Adger, S. E. Hanson, M. M. Rahman, & M. Salehin (Eds.), Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis (pp. 383-403). Springer International Publishing. https://doi.org/10.1007/978-3-319-71093-8_21
Pelle, E., Hessen, D. J., & Van Der Heijden, P. (2018). A multidimensional Rasch model for multiple system estimation. In Capture-Recapture Methods for the Social and Medical Sciences (pp. 315-339). ( Chapman & Hall/CRC Interdisciplinary Statistics). Chapman & Hall/CRC.
Bohning, D., Bunge, J., & Van Der Heijden, P. (2018). Basic concepts of capture-recapture. In D. Boehning, P. G. M. van der Heijden, & J. Bunge (Eds.), Capture-Recapture Methods for the Social and Medical Sciences (pp. 3-17). (Interdisciplinary Statistics Series). Chapman & Hall/CRC.
Adams, H., Neil Adger, W., Ahmad, S., Ahmed, A., Begum, D., Chan, M., Lázár, A. N., Matthews, Z., Rahman, M. M., & Streatfield, P. K. (2018). Characterising associations between poverty and ecosystem services. In R. J. Nicholls, C. W. Hutton, W. N. Adger, S. E. Hanson, M. M. Rahman, & M. Salehin (Eds.), Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis (pp. 425-444). Springer International Publishing. https://doi.org/10.1007/978-3-319-71093-8_23
Berger, Y. (2018). Empirical likelihood approaches under complex sampling designs. In Wiley StatsRef: Statistics Reference Online Wiley. https://doi.org/10.1002/9781118445112.stat08066
Bakker, B., Van Der Heijden, P. G. M., & Gerritse, S. C. (2018). Estimation of non-registered usual residents in the Netherlands. In Capture-Recapture Methods for the Social and Medical Sciences (pp. 259-273). (Chapman & Hall/CRC Interdisciplinary Statistics). Chapman & Hall/CRC.
Allum, N., Read, S., & Sturgis, P. (2018). Evaluating change in social and political trust in Europe. In E. Davidov, P. Schmidt, J. Billiet, & B. Meuleman (Eds.), Cross-Cultural Analysis: Methods and Applications, 2nd Edition (2 ed., pp. 45-64). Taylor and Francis. https://doi.org/10.4324/9781315537078
Cruyff, M. J. L. F., Husken, T. F., & Van Der Heijden, P. G. M. (2018). Extending the truncated Poisson regression model to a time-at-risk model. In D. Boehning, P. G. M. van der Heijden, & J. Bunge (Eds.), Capture-Recapture Methods for the Social and Medical Sciences (pp. 155-162). (Chapman & Hall/CRC Interdisciplinary Statistics). Chapman & Hall/CRC.
Lázár, A. N., Payo, A., Adams, H., Ahmed, A., Allan, A., Akanda, A. R., Amoako Johnson, F., Barbour, E. J., Biswas, S. K., Caesar, J., Chapman, A., Clarke, D., Fernandes, J. A., Haque, A., Hossain, M. A. R., Hunt, A., Hutton, C. W., Kay, S., Mukhopadhyay, A., ... Whitehead, P. G. (2018). Integrative analysis applying the delta dynamic integrated emulator model in south-west Coastal Bangladesh. In R. J. Nicholls, C. W. Hutton, W. N. Adger, S. E. Hanson, M. M. Rahman, & M. Salehin (Eds.), Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis (pp. 525-574). Springer International Publishing. https://doi.org/10.1007/978-3-319-71093-8_28
Lazar, A., Payo Garcia, A., Adams, H., Ahmed, A., Allan, A., Razzaque Akanda, M. A., Amoako Johnson, F., Barbour, E., Biswas, S. K., Ceasar, J., Chapman, A. D., Clarke, D., Fernandes, J. A., Haque, A., Hossain, M. A. R., Hunt, A., Hutton, C., Kay, S., Mukhopadhyay, A., ... Whitehead, P. (Accepted/In press). Integrative analysis applying the delta dynamic integrated emulator model in South-West Coastal Bangladesh. In Ecosystem Services for Well-Being in Deltas: Integrated Assessment for Policy Analysis (pp. 525-574). Palgrave Macmillan. https://doi.org/10.1007/978-3-319-71093-8

Conferences

Smith, P. A., Van Der Heijden, P. G. M., & Cruyff , M. (2021). Measurement errors in multiple systems estimation. In G. C. Porzio, C. Rampichini, & C. Bocci (Eds.), CLADAG 2021 Book of abstracts and short papers: 13th Scientific Meeting of the Classification and Data Analysis Group, Firenze, September 9-11 2021 (pp. 211-214). (CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society (SIS)). Firenze University Press. https://doi.org/10.36253/978-88-5518-340-6
Bijak, J., Higham, P., Hilton, J., Hinsch, M., Nurse, S., Prike, T., Reinhardt, O., Smith, P. W. F., & Uhrmacher, A. M. (2021). Modelling migration: Decisions, processes and outcomes. In 2020 Winter Simulation Conference (WSC) (pp. 2613-2624). [9384072] IEEE. https://doi.org/10.1109/WSC48552.2020.9384072
Taylor, E., Ziauddeen, N., Godfrey, K., Berrington, A., & Alwan, N. (2021). Preventing childhood obesity with combined hypothetical interventions on interpregnancy maternal smoking and weight: applying the parametric g-formula to a UK population-based cohort. Abstract from Lancet 2021 Public Health Science Conference, . https://doi.org/10.1016/S0140-6736(21)02627-1
Delaney, J., & Smith, P. A. (2021). Sampling for business price indices, with applications in Ireland. In Proceedings of the European Establishment Surveys Workshop EESW21 https://drive.google.com/file/d/1nBkF0p158CGILL7Fbm_ISfQV_rJVS4Rg/view
Bijak, J., Grow, A., Higham, P., Hilton, J., Hinsch, M., Lipscombe, K., Nurse, S., Prike, T., Reinhardt, O., Smith, P. W. F., & Uhrmacher, A. (Accepted/In press). Teaching a modelling process: Reflections from an online course. In Proceedings of the 2021 Winter Simulation Conference IEEE.
Ptackova, V., & Smith, P. A. (2021). What do the business tendency surveys measure, and what is their information content? In Proceedings of the Sixth International Conference of Establishment Surveys https://ww2.amstat.org/meetings/ices/2021/proceedings/308072.pdf
Taylor, E. J., Ziauddeen, N., Godfrey, K., Berrington, A., & Alwan, N. (2020). Change in maternal smoking behaviour between two pregnancies and small for gestational age birth: analysis of a UK population-based cohort. Journal of Epidemiology & Community Health, 74(Supplement 1), [64]. https://doi.org/10.1136/jech-2020-SSMabstracts.63
Reinhardt, O., Hinsch, M., Uhrmacher, A., & Bijak, J. (2020). Developing agent-based migration models in pairs. Paper presented at Winter Simulation Conference 2019, National Harbor, United States. https://ieeexplore.ieee.org/document/9004946
Taylor, E. J., Wilding, S., Ziauddeen, N., Godfrey, K., Berrington, A., & Alwan, N. (2020). Modifiable maternal exposures between pregnancies and offspring adiposity: A systematic review. Obesity Reviews, 21(S1), 228-229. [EP-393].
Van Der Heijden, P. (2019). A linkage error correction model for population size estimation with multiple sources. Paper presented at 62nd World Statistics Congress, Kuala Lumpur, Malaysia.
Taylor, E. J., Ziauddeen, N., Godfrey, K., Berrington, A., & Alwan, N. (2019). Change in maternal smoking behaviour between the first two singleton live pregnancies and childhood obesity: analysis of a UK population-based cohort. The Lancet, 394(Supplement 2), S89. https://doi.org/10.1016/S0140-6736(19)32886-7
Hill, A. G., & Dotse-Gborgbortsi, W. W. (2019). Explaining the spatial patterning of health and mortality in African cities by augmenting census data: The case of Ghana. Paper presented at Paper presented at demographic statistics for Africa conference, Paris, France.
Cruyff, M., Van Der Heijden, P., Smith, P. A., Bycroft, C., & Graham, P. (2019). Multiple system estimation for the size of the Māori population in New Zealand. Paper presented at 62nd World Statistics Congress, Kuala Lumpur, Malaysia. https://drive.google.com/file/d/1FO7Gb27IKVPXflQdtg7Z-GYu604o7tVq/view
Hinsch, M., & Bijak, J. (2019). Rumours lead to self-organized migration routes. Paper presented at The 2019 Conference on Artificial Life, Newcastle upon Tyne, United Kingdom. http://abmhub.cs.ucl.ac.uk/2019/papers/Hinsch_Bijak.pdf
Smith, P. A., & Yung, W. (2019). The use of longitudinal methods in establishment surveys. Paper presented at European Establishment Surveys Workshop, Bilbao, Spain. https://drive.google.com/file/d/0B2NMmIFLUZD9eGY3SUxqSzJYZ3dRWHVZV1JhdmhvMzhYSjN3/view

Letters/Editorials

Smith, P. A. (2021). A distillation of the live chat during the discussion of ‘testing by betting: A strategy for statistical and scientific communication’ by Glenn Shafer. Journal of the Royal Statistical Society: Series A (Statistics in Society), 184(2), 448. https://doi.org/10.1111/rssa.12671
Smith, P. A. (2020). Discussion on the paper by Silverman [Multiple-systems analysis for the quantification of modern slavery: classical and Bayesian approaches]. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(3), 720-720.
Smith, P. A. (2019). Contribution to the discussion of “A comparison of sample survey measures of earnings of English graduates with administrative data”. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182(3), 752.
Matthews, Z., Rawlins, B., Duong, J., Molla, Y. B., Moran, A. C., Singh, K., Serbanescu, F., Tatem, A., & Nilsen, K. (2019). Geospatial analysis for reproductive, maternal, newborn, child and adolescent health: gaps and opportunities. BMJ Global Health, 4(5), e001702. https://doi.org/10.1136/bmjgh-2019-001702
Szabo, S., Hossain, M. S., Renaud, F., Traore, D., Hussain, A., Matczak, P., Ahmad, S., Singh, D. R., Neumann, B., & Matthews, Z. (2018). Accelerating progress toward the zero hunger goal in cross-boundary climate change hotspots. Environment: Science and Policy for Sustainable Development, 60(3), 18-27. https://doi.org/10.1080/00139157.2018.1449530
Smith, P. A. (2018). Contribution to the discussion of “From start to finish: a framework for the production of small area official statistics”. Journal of the Royal Statistical Society: Series A (Statistics in Society), 181, 964.
Smith, P. A., & Chambers, R. (2018). Contribution to the discussion of “Statistical challenges of administrative and transaction data”. Journal of the Royal Statistical Society: Series A (Statistics in Society), 181, 585.

Reports

Chao, S-Y., & Berrington, A. (2021). A troubled year: Life satisfaction during the pandemic. http://www.cpc.ac.uk/docs/2021_PB64_A_troubled_year_life_satisfaction_during_the_pandemic.pdf
Sabeur, Z., Correndo, G., Veres, G. V., Smith, P. A., & Dawber, J. (2021). Outlier and Anomaly Detection Methods with Applications to the 2021 Census.
Perelli-Harris, B., Chao, S-Y., & Berrington, A. (2020). Couples in crisis: how the government's furlough scheme has protected relationships during the Covid-19 pandemic. (Policy Briefing; No. 61). ESRC Centre for Population Change. http://www.cpc.ac.uk/docs/2020_PB61_Couples_in_crisis.pdf
Kulu, H., Dorey, P., Dey, R. (Ed.), & Mcgowan, T. (2020). Covid-19 in remote and rural communities. (Centre for Population Change Policy Briefing; No. 51). University of Southampton. http://www.cpc.ac.uk/docs/2020_PB51_Covid-19_in_remote_and_rural_communities.pdf
van den Brakel, J., de Jong, T., Smith, P. A., Tzavidis, N., Bacchini, F., Di Consiglio, L., Ferruzza, A., Palma, A. L., Tagliacozzo, G., Tuoto, T., Köhlmann, M., Rosenski, N., Schartner, C., Caratiola, C., Ertz, F., Güdemann, L., Munnich, R., Giusti, C., & Pratesi, M. (2020). Deliverable 2.3 - Research needs in terms of statistical methodologies and new data. Makswell. https://www.makswell.eu/attached_documents/output_deliverables/deliverable_2.3.pdf
Zimmermann, T., Polidoro, F., di Leo, F., Fedeli, M., Burger, J., van den Brakel, J., Pratesi, M., Giusti, C., Marchetti, S., Biggeri, L., Bertarelli, G., Schirripa Spagnolo, F., Laureti, T., Benedetti, I., Smith, P. A., Dawber, J., Tzavidis, N., Luna Hernandez, A., O'Donoghue, J., ... Wölwer, A-L. (2020). Deliverable 3.2 - Guidelines for best practices implementation for transferring methodology. (Regional poverty measurement as a prototype for modern indicator methodology). Makswell. https://www.makswell.eu/attached_documents/output_deliverables/deliverable_3.2.pdf
Chao, S-Y., Berrington, A., & Perelli-Harris, B. (2020). Gender attitudes and practices among married and cohabiting parents. (Centre for Policy Change Policy Briefings; Vol. 57). ESRC Centre for Population Change. http://www.cpc.ac.uk/docs/2020_PB57_Gender_attitudes_and_practices_among_parents.pdf
Chao, S-Y., Blom, N., Berrington, A., & Perelli-Harris, B. (2020). How partnerships have changed in the UK over the last 30 years. (Centre for Population Change Policy Briefings; No. 50). University of Southampton.
Kuang, B., Berrington, A., Vasireddy, S., Kulu, H., Mcgowan, T. (Ed.), & Dey, B. (Ed.) (2020). Twenty years of having babies across different countries of the UK: How has parents' partnership status changed? (Centre for Population Change Policy Briefing; No. 56). ESRC Centre for Population Change. http://www.cpc.ac.uk/docs/2020_PB56_Twenty_years_of_having_babies_in_the_UK.pdf
Heap, K. L., Berrington, A., & Ingham, R. (2020). Understanding declining teenage pregnancy rates in England. ESRC Centre for Population Change. http://www.cpc.ac.uk/docs/2020_PB60_Understanding_declining_teenage_pregnancy_rates_in_England.pdf
Blom, N., & Perelli-Harris, B. (2020). Unemployment harms couples' relationship happiness. (Centre for Population Change Policy Briefings; No. 49). University of Southampton. http://www.cpc.ac.uk/docs/2020_PB49_Unemployment_harms_couples_relationship_happiness.pdf
Smith, P. A., Berrington, A., & Smith, P. W. F. (2019). Administrative vs survey data for longitudinal analyses. University of Southampton.
Smith, P. A. (2019). Booster samples of marginal groups vs separate focussed studies. University of Southampton.
Smith, P. A. (2019). Common themes in design and analysis of longitudinal surveys. University of Southampton.
van den Brakel, J., Krieg, S., Smith, P. A., Tzavidis, N., Ertz, F., & Munnich, R. (2019). Deliverable 4.3 - Report on survey discontinuities. Makswell. https://www.makswell.eu/attached_documents/output_deliverables/deliverable_4.3.pdf
Vlachantoni, A., Wang, N., Feng, Z., Falkingham, J., Mcgowan, T. (Ed.), & Dey, B. (Ed.) (2019). Informal caring in mid-life and its economic consequences. (CPC Briefing Papers; No. 46). ESRC Centre for Population Change. http://www.cpc.ac.uk/docs/PB46_Informal_caring_in_midlife_and_its_economic_consequences.pdf
Smith, P. A., & Dawber, J. (2019). Random probability vs quota sampling. University of Southampton.
Zhang, L-C., & Dawber, J. (2019). Report on methods for complex linked data. University of Southampton.
Vlachantoni, A., Wang, N., Feng, Z., Evandrou, M., Mcgowan, T. (Ed.), & Dey, B. (Ed.) (2019). Social participation and health outcomes among carers in Great Britain. (CPC Briefing Papers; Vol. 47). ESRC Centre for Population Change. http://www.cpc.ac.uk/docs/PB47_Social_participation_and_health_outcomes_among_carers.pdf
Lugtig, P., & Smith, P. A. (2019). The choice between a panel and cohort study design. University of Southampton.
Dawber, J., Würz, N., & Smith, P. A. (2019). The development of regional CPIH: assessment of small area estimation for regional expenditure weights. Office for National Statistics. https://www.ons.gov.uk/economy/inflationandpriceindices/methodologies/thedevelopmentofregionalcpihassessmentofsmallareaestimationforregionalexpenditureweights
Smith, P. A., Dawber, J., & Van Der Heijden, P. (2019). Theoretical sampling designs for a UK birth cohort with potential accelerated design. University of Southampton.
Sabater, A., Graham, E., Nissa, F., & Mcgowan, T. (Ed.) (2018). (Un)Affordable housing and the residential separation of age groups. (ESRC Centre for Population Change Briefing; No. 45). ESRC Centre for Population Change. http://www.cpc.ac.uk/docs/BP45_UnAffordable_housing_and_the_residential_separation_of_age_groups.pdf

Articles

Books

Book Chapters

Conferences

Letters/Editorials

Reports

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Theses

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