High‐dimensional propensity scores for empirical covariate selection in secondary database studies: Planning, implementation, and reporting
Sign Up to like & getrecommendations! Published in 2022 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5566
Abstract: Real‐world evidence used for regulatory, payer, and clinical decision‐making requires principled epidemiology in design and analysis, applying methods to minimize confounding given the lack of randomization. One technique to deal with potential confounding is propensity… read more here.
Keywords: covariate selection; propensity; dimensional propensity; high dimensional ... See more keywords
Single- and Multilevel Perspectives on Covariate Selection in Randomized Intervention Studies on Student Achievement
Sign Up to like & getrecommendations! Published in 2024 at "Educational Psychology Review"
DOI: 10.1007/s10648-024-09898-7
Abstract: Well-chosen covariates boost the design sensitivity of individually and cluster-randomized trials. We provide guidance on covariate selection generating an extensive compilation of single- and multilevel design parameters on student achievement. Embedded in psychometric heuristics, we… read more here.
Keywords: student achievement; single multilevel; covariate selection; multilevel perspectives ... See more keywords
Covariate selection for optimizing balance with an innovative adaptive randomization approach
Sign Up to like & getrecommendations! Published in 2024 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802241313283
Abstract: Balancing influential covariates is crucial for valid treatment comparisons in clinical studies. While covariate-adaptive randomization is commonly used to achieve balance, its performance can be inadequate when the number of baseline covariates is large. It… read more here.
Keywords: randomization approach; balance; covariate selection; adaptive randomization ... See more keywords