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Participation weigh...
Participation weighting based on sociodemographic register data improved external validity in a population-based cohort study
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- Bonander, Carl (författare)
- University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa, enheten för hälsometri,Institute of Medicine, Department of Public Health and Community Medicine, Health Metrics
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- Nilsson, Anton (författare)
- Lund University,Lunds universitet,Centrum för ekonomisk demografi,Ekonomihögskolan,Centre for Economic Demography,Lund University School of Economics and Management, LUSEM
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- Björk, Jonas (författare)
- Lund University,Lunds universitet,EPI@LUND,Forskargrupper vid Lunds universitet,Lund University Research Groups,Skåne University Hospital
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- Bergström, Göran, 1964 (författare)
- University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,Sahlgrenska University Hospital
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- Strömberg, Ulf, 1964 (författare)
- University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för samhällsmedicin och folkhälsa, enheten för hälsometri,Institute of Medicine, Department of Public Health and Community Medicine, Health Metrics,Region Halland
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(creator_code:org_t)
- Elsevier BV, 2019
- 2019
- Engelska.
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Ingår i: Journal of Clinical Epidemiology. - : Elsevier BV. - 0895-4356. ; 108, s. 54-63
- Relaterad länk:
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http://dx.doi.org/10...
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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Abstract
Ämnesord
Stäng
- 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. © 2018 Elsevier Inc.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Nyckelord
- External validity
- Generalizability
- Inverse probability weighting
- Nonresponse bias
- Propensity score
- Transportability
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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