Sample Sizes for Clinical Trials
Steven A. Julious "Sample Sizes for Clinical Trials"
Chapman & Hall | English | 2009-08-26 | ISBN: 1584887397 | 317 pages | PDF | 1,6 MB
With worked examples and problems based on real-world scenarios, this book takes readers through the process of calculating the sample size for many types of clinical trials. It covers the most common types of clinical trials across all phases. The author discusses how assumptions made in a sample size calculation can impact the calculation. He provides calculations for many of the trials and offers hints and tips on how to optimize the calculations. He also illustrates the steps involved in determining sample size, from defining the trial objective to selecting an appropriate endpoint.
From the Back Cover
Drawing on various real-world applications, Sample Sizes for Clinical Trials takes readers through the process of calculating sample sizes for many types of clinical trials. It provides descriptions of the calculations with a practical emphasis.
Focusing on normal, binary, ordinal, and survival data, the book explores a range of trials, including superiority, equivalence, non-inferiority, bioequivalence, and precision for both parallel group and crossover designs. The author discusses how trial objectives impact the study design with respect to the derivation of formulae for sample size calculations. He uses real-life studies throughout to show how the concepts and calculations can be employed.
This work underscores the importance of sample size calculation in the design of a clinical trial. With useful calculation tables throughout, it enables readers to quickly find an appropriate formula, formula application, and associated worked example.
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Steven A. Julious "Sample Sizes for Clinical Trials"
Chapman & Hall | English | 2009-08-26 | ISBN: 1584887397 | 317 pages | PDF | 1,6 MB
With worked examples and problems based on real-world scenarios, this book takes readers through the process of calculating the sample size for many types of clinical trials. It covers the most common types of clinical trials across all phases. The author discusses how assumptions made in a sample size calculation can impact the calculation. He provides calculations for many of the trials and offers hints and tips on how to optimize the calculations. He also illustrates the steps involved in determining sample size, from defining the trial objective to selecting an appropriate endpoint.
From the Back Cover
Drawing on various real-world applications, Sample Sizes for Clinical Trials takes readers through the process of calculating sample sizes for many types of clinical trials. It provides descriptions of the calculations with a practical emphasis.
Focusing on normal, binary, ordinal, and survival data, the book explores a range of trials, including superiority, equivalence, non-inferiority, bioequivalence, and precision for both parallel group and crossover designs. The author discusses how trial objectives impact the study design with respect to the derivation of formulae for sample size calculations. He uses real-life studies throughout to show how the concepts and calculations can be employed.
This work underscores the importance of sample size calculation in the design of a clinical trial. With useful calculation tables throughout, it enables readers to quickly find an appropriate formula, formula application, and associated worked example.
Download
Mirror
Mirror
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