Confounding adjustment methods in longitudinal observational data with a time-varying treatment: a mapping review

Objectives To adjust for confounding in observational data, researchers use propensity score matching (PSM), but more advanced methods might be required when dealing with longitudinal data and time-varying treatments as PSM might not include possible changes that occurred over time. This study aims...

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Bibliographic Details
Main Authors: Maroeska M Rovers, Stan R W Wijn, Gerjon Hannink
Format: Article
Language:English
Published: BMJ Publishing Group 2022-03-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/3/e058977.full