Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score

DOI10.1002/SIM.9176zbMATH Open1546.62063MaRDI QIDQ6628320

Peter C. Austin

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

sample sizepowerpropensity scorestudy designinverse probability of treatment weighting

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Sampling: design and analysis
• Matched Sampling for Causal Effects
• The central role of the propensity score in observational studies for causal effects
• Model-Based Direct Adjustment
• A weighting analogue to pair matching in propensity score analysis
• A tutorial on methods to estimating clinically and policy-meaningful measures of treatment effects in prospective observational studies: a review

Related Items (2)

Using real-world data to predict health outcomes -- the prediction design: application and sample size planning ⋮ Balancing versus modelling in weighted analysis of non-randomised studies with survival outcomes: a simulation study

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