Description

Book Synopsis

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

Statistical Thinking in Clinical Trials

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    A Paperback by National Institutes of Health (NIH), Bethesda, Maryland, USA) Proschan Michael A.

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      View other formats and editions of Statistical Thinking in Clinical Trials by National Institutes of Health (NIH), Bethesda, Maryland, USA) Proschan Michael A.

      Book details

      Publisher Taylor & Francis
      Imprint Taylor & Francis Ltd
      Published 5/27/2024
      ISBN-13 9781138058569
      978-1138058569
      ISBN-10 1138058564
      Also in:
      Clinical trials

      Description

      Book Synopsis

      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

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