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stat.ME2020
Borrowing from Supplemental Sources to Estimate Causal Effects from a Primary Data Source
Jeffrey A. Boatman, David M. Vock, Joseph S. Koopmeiners
The increasing multiplicity of data sources offers exciting possibilities in estimating the effects of a treatment, intervention, or exposure, particularly if observational and exp…
stat.ME2019
Assessing effect heterogeneity of a randomized treatment using conditional inference trees
Ashwini Venkatasubramaniam, Brandon Koch, Lauren Erickson +3
Treatment effect heterogeneity occurs when individual characteristics influence the effect of a treatment. We propose a novel approach that combines prognostic score matching and c…