Estimating marginal treatment effects from single studies and indirect treatment comparisons: When are standardization-based methods preferable to inverse probability of treatment weighting?
arxiv(2023)
摘要
In light of newly developed standardization methods, we evaluate, via simulation study, how inverse probability of treatment weighting (IPTW) and standardization-based approaches compare for obtaining estimates of the marginal odds-ratio and the marginal hazards ratio. Specifically, we consider how the two approaches compare in two different scenarios: (1) in a single comparative study (either randomized or non-randomized), and (2) in an anchored indirect treatment comparison of randomized controlled trials (where we compare the matching-adjusted indirect comparison (MAIC) and simulated treatment comparison (STC) methods). We conclude that, in general, standardization-based methods with correctly specified outcome models are more efficient than those based on IPTW. While IPTW is robust to model misspecification in a single comparative study, we find that this is not necessarily the case for MAIC in an indirect treatment comparison.
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