Professor Dankmar Böhning Dr. rer. nat. (mathematics), Habil. (medical statistics and epidemiology)

Professor of Medical Statistics

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Dankmar Böhning is Professor of Medical Statistics within Mathematical Sciences at the university of Southampton.

Background

Studied Mathematics and Social Sciences at the University of Bielefeld and the Free University, Berlin.

Worked as Assistant Professor in Social Science Statistics at the Free University and became extra-ordinary Professor for Biometry and Epidemiology at the Charité Medical School Berlin since 2000.

Was Professor for Applied Statistics at the University of Reading from 2005 to 2011 when he moved to Southampton.

Had visiting positions in Department of Statistics at Pennsylvania State University, Institute of Statistics at the LMU in Munich, the Institute for Psychology at the University of Vienna and the Mahidol University in Bangkok.

Research

Responsibilities

Publications

Teaching

Contact

Research interests

Mixture Models and their Applications
Capture-Recapture Modelling in the Life Sciences
Review Research and Meta-Analysis

Research projects

Statistical methods for meta-analysis of diagnostic studies based upon the summary receiver operating characteristic

A regression approach to closed capture-recapture problems with applications to medicine, life and social sciences

PhD supervision

Several students with topics in capture-recapture methods as well as in statistical methods for diagnostic methods

Research group

Statistics

Affiliate research group

Primary Care, Population Sciences and Medical Education

Director of S3RI (Medical Statistics and Biostatistics)

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Articles

Books

Bohning, D., Van Der Heijden, P. G. M., & Bunge, J. (2018). Capture-recapture methods for the social and medical sciences. (Interdisciplinary Statistics Series). Chapman and Hall/CRC.
van der Heijden, P. G. M., de Vries, I., Böhning, D., Cruyff, M., & Kangaspunta, K. (Ed.) (2015). Researching hidden populations: approaches to and methodologies for generating data on trafficking in persons. (Forum on Crime and Society; Vol. 8). United Nations Office on Drugs and Crime.
Böhning, D., Kuhnert, R., & Rattanasiri, S. (2008). Meta-analysis of binary data using profile likelihood. (CRC Interdisciplinary Statistics). Chapman and Hall/CRC.

Book Chapters

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 and Hall/CRC.
Bohning, D., Bunge, J., & Van Der Heijden, P. G. M. (2018). Uncertainty assessment in capture-recapture studies and the choice of sampling effort. In Capture-Recapture Methods for the Social and Medical Sciences (pp. 389-396). ( Chapman & Hall/CRC Interdisciplinary Statistics). Chapman and Hall/CRC.
van der Heijden, P. G. M., de Vries, L., Böhning, D., & Cruyff, M. (2015). Estimating the size of hard-to-reach populations using capture-recapture methodology, with a discussion of the International Labour Organization’s global estimate of forced labour. In K. Kangaspunta (Ed.), Forum on Crime and Society, Volume 8. Special Issue: Researching Hidden Populations: Approaches to and Methodologies for Generating Data on Trafficking in Persons (pp. 109-136). United Nations.
Van der Heijden, P. G. M., Cruyff, M., & Boehning, D. (2014). Capture-recapture to estimate crime populations. In G. J. N. Bruinsma, & D. L. Weisburd (Eds.), Encyclepedia of Criminology and Criminal Justice (pp. 267-278). Springer.

Conferences

Glyn-Owen, K. A., Parkes, J., Bohning, D., Roderick, P., & Buchanan, R. (2019). The combined effect of alcohol and obesity on risk of liver disease: a systematic review and meta-analysis. Poster session presented at British Association for the Study of the Liver (BASL) Annual Meeting 2019, Glasgow, United Kingdom.
Glyn-Owen, K. A., Parkes, J., Bohning, D., Roderick, P., & Buchanan, R. (2019). The combined effect of alcohol and obesity on risk of liver disease: a systematic review and meta-analysis. Hepatology, 70(S1), 753a. https://doi.org/10.1016/S0168-8278(19)30205-3

Letters/Editorials

Bohning, D. (2020). Chao’s lower bound estimator and the size of the Pleiades. Environmental and Ecological Statistics, 27(1), 171-173. https://doi.org/10.1007/s10651-020-00440-w
Alfò, M., & Böhning, D. (2019). Editorial: Year 2018 report. Biometrical Journal, 1-4. https://doi.org/10.1002/bimj.201900069
Alfò, M., & Böhning, D. (2018). Editorial: Year 2017 report. Biometrical Journal, 60(3), 427-430. https://doi.org/10.1002/bimj.201800047
Sonksen, P., Bavington, L. D., Boehning, T., Cowan, D., Guha, N., Holt, R., Karkazis, K., Ferguson-Smith, M., Mircetic, J., & Bohning, D. (2018). Hyperandrogenism controversy in elite women's sport: an examination and critique of recent evidence. British Journal of Sports Medicine. https://doi.org/10.1136/bjsports-2017-098446
Köse, T., Orman, M., Ilkiz, F., Gallagher, J., & Böhning, D. (2017). Correction on Extending the Lincoln–Petersen estimator for multiple identifications in one source. Statistics in Medicine 2014; 33:4237–4249. Statistics in Medicine, 36(9), 1519-1520. https://doi.org/10.1002/sim.7243
Alfo, M., & Bohning, D. (2017). Editorial for the discussion papers on the p-value controversy. Biometrical Journal, 59(5), 853. https://doi.org/10.1002/bimj.201700121

Working Papers

Bohning, D., Holling, H., Masoudi, E., & Boehning, W. (2018). Evaluation of a new version of I2 with emphasis on diagnostic problems.
Bohning, D., Bohning, W., Guha, N., Cowan, D., Sonksen, P., & Holt, R. (2016). Statistical methodology for age-adjustment of the GH2000 score detecting growth hormone misuse. (S3RI Working Paper Series). University of Southampton.

MATH1024 Introduction to Statistics & Probability

MATH6026 Medical Seminar Series

MATH6152 Statistical Computing

Short courses in Medical Statistics at the University of Southampton are offered.

Professor Dankmar Böhning
Life Sciences Building (85), Highfield Campus, University of Southampton, SO17 1BJ

Room Number : 39/3019

Professor Dankmar Böhning's personal home page

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