Causal Moderation Analysis Using Propensity Score Methods Authors and Affiliations:

Title: Bayesian Model Averaging for Propensity Score Analysis Authors and Affiliations:

Comments: Improving Weighting Methods for Causal Mediation Analysis

I begin this discussion by thanking Larry Hedges, the editor of the journal, for giving me an opportunity to provide a commentary on this stimulating article. I also would like to congratulate the authors of the article for their insightful discussion on causal mediation analysis, which is one of the most important and challenging methodological problems we face in the literature of causal infe...

Propensity score estimation with boosted regression for evaluating causal effects in observational studies.

Causal effect modeling with naturalistic rather than experimental data is challenging. In observational studies participants in different treatment conditions may also differ on pretreatment characteristics that influence outcomes. Propensity score methods can theoretically eliminate these confounds for all observed covariates, but accurate estimation of propensity scores is impeded by large nu...

Causal Inference in Anesthesia and Perioperative Observational Studies

Purpose of Review Observational studies are of great importance to anesthesia and perioperative care research, as they reflect routine clinical practice. However, because observational data are nonexperimental, assigning causality to identified relationships has a significant risk of bias. After describing the pros and cons of observational studies, we provide an overview of the different metho...

Running head: PROPENSITY SCORE MATCHING IN SPSS Propensity score matching in SPSS Thoemmes, F. University of Tübingen Author Note

Propensity score matching is a tool for causal inference in non-randomized studies that allows for conditioning on large sets of covariates. The use of propensity scores in the social sciences is currently experiencing a tremendous increase; however it is far from a commonly used tool. One impediment towards a more wide-spread use of propensity score methods is the reliance on specialized softw...