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The University of Southampton
The Alan Turing Institute

S3RI Seminar - 2 May 2019 Event

Time:
14:00 - 15:00
Date:
2 May 2019
Venue:
University of Southampton, Highfield Campus, Building 54, Room 7035

For more information regarding this event, please .

Event details

Simon White (University of Cambridge) will be delivering a seminar on "Bayesian inference of disease incidence in two-phase two-wave studies including loss to follow-up and death".

Abstract

Estimating disease incidence has long been an important research question, with a variety of methods proposed for different settings and study designs; for example using back-calculation methods based on cross-sectional data. However estimating incidence is inherently a longitudinal problem and requires repeated observations over time. Longitudinal studies suffer from the problem of incomplete follow-up, where subjects do not return for subsequent waves. Of interest in our work is the need to consider the reason for incomplete follow-up and whether the missingness is ignoreable. Specifically, we consider the case of mortality in studies of dementia incidence. Mortality is an issue in any study of an ageing population, failure to account for this can induce a so-called immortal cohort bias.

Population-based studies often employ a two-phase design, with an initial screening interview used to select a subset for a more detailed assessment; this reduces the burden of the study and, ideally, focuses on the individuals of interest. However, this induces a further missing data mechanism, distinct from loss to follow-up and item non-response, which must be accounted for in the inference.

In this talk we present a Bayesian approach to estimating incidence from a population-based two-phase two-wave design, accounting for missing data due to several missingness mechanisms. Using a Bayesian framework we can naturally incorporate missingness mechanisms within the model.

To illustrate our method we consider the UK Medical Research Council's (MRC) Cognitive Function and Ageing study (CFAS), a population-based two-phase two-wave study of dementia in the UK. The CFAS design includes an initial screening test, with dementia status being part of the second detailed assessment. Hence, the issue of missing data through the two-phase design compounds the missing data due to loss to follow-up and death. Importantly, consent was obtained to independently monitor whether individuals within the study died and hence we can differentiate loss to follow-up and death.

 

The talk will be followed by tea and cake in the staff reading room on level 4 of building 54.

Speaker information

Simon White, University of Cambridge, is a senior investigator statistician and works with Dr Fiona Matthews as part of the Evidence Synthesis to inform Health (ESH) and Methods for the Analysis of Complex Observational and Longitudinal Data (COLD) Research Themes within the Unit.

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