Some aspects of propensity score-based estimators for causal inference

Författare: Ronnie Pingel, Och

Sammanfattning av Dissertation series 2014:5

Abstract

Essay I: Pingel, R. and I. Waernbaum (2014). Effects of correlated covariates on the asymptotic efficiency of matching and inverse probability weighting estimators for causal inference. Statistics: A Journal of Theoretical and Applied Statistics. Epub ahead of print.

Essay II: Pingel, R. and I. Waernbaum (2014). Correlation and efficiency of propensity score-based estimators for average causal effects. Manuscript.

Essay III: Pingel, R. (2014). Estimating the variance of a propensity score matching estimator: A new look at right heart catheterisation data. Submitted.

Essay IV: Pingel, R. (2014). Some approximations of the logistic distribution with application to the covariance matrix of logistic regression. Statistics & Probability Letters 85, 63–68