Confounder-adjusted estimates of the risk difference using propensity score-based weighting

O Ukoumunne, Elizabeth Williamson, Andrew Forbes, Martin Gulliford, John Carlin

Research output: Contribution to journalArticleResearchpeer-review

19 Citations (Scopus)

Abstract

Confounder-adjusted estimates of the risk difference are often difficult to obtain by direct regression adjustment. Estimates can be obtained from a propensity score-based method using inverse probability-of-exposure weights to balance groups defined by exposure status with respect to confounders. Simulation was used to evaluate the performance of this method.
Original languageEnglish
Pages (from-to)3126 - 3136
Number of pages11
JournalStatistics in Medicine
Volume29
Issue number30
DOIs
Publication statusPublished - 2010

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