Flexible propensity score estimation strategies for clustered data in observational studies
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9551
Abstract: Existing studies have suggested superior performance of nonparametric machine learning over logistic regression for propensity score estimation. However, it is unclear whether the advantages of nonparametric propensity score modeling are carried to settings where there… read more here.
Keywords: propensity score; cluster; propensity; score estimation ... See more keywords
Latent Variable Forests for Latent Variable Score Estimation
Sign Up to like & getrecommendations! Published in 2024 at "Educational and Psychological Measurement"
DOI: 10.1177/00131644241237502
Abstract: We develop a latent variable forest (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on confirmatory factor analysis (CFA)… read more here.
Keywords: variable scores; score estimation; latent; estimation latent ... See more keywords
Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure
Sign Up to like & getrecommendations! Published in 2020 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-020-01053-4
Abstract: Background Causal effect estimation with observational data is subject to bias due to confounding, which is often controlled for using propensity scores. One unresolved issue in propensity score estimation is how to handle missing values… read more here.
Keywords: estimation; imputation; propensity score; propensity ... See more keywords