Causal inference with longitudinal data subject to irregular assessment times

Summary Data collected in the context of usual care present a rich source of longitudinal data for research, but often require analyses that simultaneously enable causal inferences from observational data while handling irregular and informative assessment times. An inverse‐weighting approach to thi...

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Veröffentlicht in:Statistics in medicine Jg. 42; H. 14; S. 2361 - 2393
Hauptverfasser: Pullenayegum, Eleanor M., Birken, Catherine, Maguire, Jonathon
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken, USA John Wiley & Sons, Inc 30.06.2023
Wiley Subscription Services, Inc
Schlagworte:
causal inference
Causality
Child
Computer Simulation
Humans
inverse weighting
joint modeling
longitudinal data
Models, Statistical
Observational studies
Random variables
Statistical inference
inverse weighting
joint modeling
causal inference
longitudinal data
ISSN:0277-6715, 1097-0258, 1097-0258
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Zusammenfassung:Summary Data collected in the context of usual care present a rich source of longitudinal data for research, but often require analyses that simultaneously enable causal inferences from observational data while handling irregular and informative assessment times. An inverse‐weighting approach to this was recently proposed, and handles the case where the assessment times are at random (ie, conditionally independent of the outcome process given the observed history). In this paper, we extend the inverse‐weighting approach to handle a special case of assessment not at random, where assessment and outcome processes are conditionally independent given past observed covariates and random effects. We use multiple outputation to accomplish the same purpose as inverse‐weighting, and apply it to the Liang semi‐parametric joint model. Moreover, we develop an alternative joint model that does not require covariates for the outcome model to be known at times where there is no assessment of the outcome. We examine the performance of these methods through simulation and illustrate them through a study of the causal effect of wheezing on time spent playing outdoors among children aged 2–9 years and enrolled in the TargetKids! study.
Bibliographie:ObjectType-Article-1
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ISSN:0277-6715
1097-0258
1097-0258
DOI:10.1002/sim.9727