Main description:

Statistical Thinking in Clinical Trials combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical trials and randomization-based inference is the cornerstone of this book. Read this book to learn the elegance and simplicity of re-randomization tests as the basis for statistical inference (the analyze as you randomize principle) and see how re-randomization tests can save a trial that required an unplanned, mid-course design change.

Other principles enable the reader to quickly and confidently check calculations without relying on computer programs. The `EZ' principle says that a single sample size formula can be applied to a multitude of statistical tests. The `O minus E except after V' principle provides a simple estimator of the log odds ratio that is ideally suited for stratified analysis with a binary outcome. The same principle can be used to estimate the log hazard ratio and facilitate stratified analysis in a survival setting. Learn these and other simple techniques that will make you an invaluable clinical trial statistician.

Contents:

1. Evidence and Inference. 2. 2 x 2 Tables. 3. Introduction to Clinical Trials. 4. Design of Clinical Trials. 5. Randomization/Allocation. 6. Randomization-Based Inference7 Survival Analysis. 7. Sample Size/Power. 8. Monitoring. 9. M&Ms: Multiplicity & Missing Data. 10. Adaptive Methods.