Participation weighting based on sociodemographic register data improved external validity in a population-based cohort study

Research output: Contribution to journalArticle

Abstract

Objective: To investigate whether inverse probability of participation weighting (IPPW) using register data on sociodemographic and disease history variables can improve external validity in a cohort study with selective participation. Study Design and Setting: We fitted various IPPW models by logistic regression using register data for the participants (n = 1,111) and nonparticipants (n = 1,132) of a Swedish cohort study. For each of six diagnostic groups, we then estimated (1) weighted disease prevalence proportions and (2) weighted cross-sectional associations (odds ratios) between sociodemographic variables and disease prevalence. Using register data on the remaining individuals of the entire study population of men and women aged 50-64 years (n = 22,259), we addressed how the choice of variables used for IPPW influenced estimation errors. Results: Disease prevalence proportions were generally underestimated in the absence of IPPW but became markedly closer to population values after IPPW using sociodemographic variables. We found limited evidence of selective participation bias in association estimates, but IPPW improved external validity when bias was present. Conclusions: IPPW using sociodemographic register data can improve the external validity of disease prevalence estimates in cohort studies with selective participation. The performance of IPPW for association estimates merits further investigations in longitudinal settings and larger cohorts.

Details

Authors
Organisations
External organisations
  • Sahlgrenska University Hospital
  • Region Halland
  • University of Gothenburg
  • Skåne University Hospital
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Public Health, Global Health, Social Medicine and Epidemiology

Keywords

  • External validity, Generalizability, Inverse probability weighting, Nonresponse bias, Propensity score, Transportability
Original languageEnglish
Pages (from-to)54-63
Number of pages10
JournalJournal of Clinical Epidemiology
Volume108
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes

Related projects

Jonas Björk, Anton Nilsson, Ulf Strömberg & Carl Bonander

Swedish Council for Working Life and Social Research (Forte)

2017/07/012020/12/31

Project: Other

View all (1)

Related infrastructure

View all (1)