Causal inference in studies and medical articles

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Comment: Causal Inference in the Medical Area

It is an honor to be a discussant to the Morris Hansen Lecture, and a pleasure to be discussing Don Rubin’s talk. Dr. Rubin has clarified over the years many of the deep issues relating to causal inference. Let me start with a story. About 20 years ago when I was teaching at UCLA, I was eating breakfast one morning at my kitchen table, and my twoand-a-half-year-old daughter was in the next room...

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Causal Inference Lecture Notes: Causal Inference with Repeated Measures in Observational Studies

We start with the simple panel data of two waves and assume that the outcome variables are measured before and after the administration of the treatment. We use Y0i and Y1i to denote the observed outcomes for time 0 (pre-treatment) and time 1 (post-treatment). Finally, let Gi be the binary indicator variable which indicates the group membership of unit i (Gi = 1 for the treatment group and Gi =...

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Causal Inference for Case - Control Studies

Causal Inference for Case-Control Studies by Sherri Rose Doctor of Philosophy in Biostatistics University of California, Berkeley Professor Mark van der Laan, Chair Case-control study designs are frequently used in public health and medical research to assess potential risk factors for disease. These study designs are particularly attractive to investigators researching rare diseases, as they a...

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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...

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Journal title

volume 14  issue 12

pages  1111- 1113

publication date 2015-03

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