Real World Health Care Data Analysis. Uwe Siebert
The correct bibliographic citation for this manual is as follows: Faries, Douglas, Xiang Zhang, Zbigniew Kadziola, Uwe Siebert, Felicitas Kuehne, Robert L. Obenchain, and Josep Maria Haro. 2020. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS®. Cary, NC: SAS Institute Inc.
Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS®
Copyright © 2020, SAS Institute Inc., Cary, NC, USA
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Contents
What Should You Know about the Examples?
Software Used to Develop the Book’s Content
Chapter 1: Introduction to Observational and Real World Evidence Research
1.2 Definition and Types of Real World Data (RWD)
1.3 Experimental Versus Observational Research
1.4 Types of Real World Studies
1.4.2 Retrospective or Case-control Studies
1.4.3 Prospective or Cohort Studies
1.5 Questions Addressed by Real World Studies
1.6 The Issues: Bias and Confounding
1.7 Guidance for Real World Research
1.8 Best Practices for Real World Research
Chapter 2: Causal Inference and Comparative Effectiveness: A Foundation
2.3 From R.A. Fisher to Modern Causal Inference Analyses
2.3.1 Fisher’s Randomized Experiment