Saturday, June 29, 2013

Sample Sizes for Clinical Trials


Sample Sizes for Clinical Trials [Print Replica] [Kindle Edition]

Author: | Language: English | ISBN: B008KZUA3Y | Format: PDF, EPUB

Sample Sizes for Clinical Trials
Free download Sample Sizes for Clinical Trials from mediafire, rapishare, and mirror link 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 latest books on mediafire and other links compilation Sample Sizes for Clinical Trials [Print Replica] [Kindle Edition]
  • File Size: 4166 KB
  • Print Length: 317 pages
  • Publisher: Chapman & Hall/CRC; 1 edition (May 14, 2012)
  • Sold by: Amazon Digital Services, Inc.
  • Language: English
  • ASIN: B008KZUA3Y
  • Text-to-Speech: Not enabled
  • X-Ray:
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  • Lending: Not Enabled
  • Amazon Best Sellers Rank: #1,063,686 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
The book covers sample size calculations for the most common types of trial design (parallel group and cross-over) and endpoints (Normal, binary or survival) for different trial objectives (superiority, equivalence and non-inferiority) relatively concisely, with key messages throughout highlighting what was described in each chapter. As the journal reviews state the book is "fairly comprehensive in its description of sample size calculations across a multitude of trial designs and analytical approaches" (Biopharmaceutical Statistics) and "should be useful as a reference work for statisticians or other researchers that are interested in quickly finding an appropriate formula for a sample size calculation problem" (International Statistical Review). Sentiments I can not disagree with
By Loobs
This is a useful reference book to "dip in and out of", both for Statisticians and Clinician/Investigators with a basic awareness of statistics. The first chapter comprehensibly introduces the different types of clinical trials and the importance of having a clear research objective in order to define the Null and Alternative Hypotheses. The following chapters are also well structured, defining the steps and information required for calculating a sample size for normal, binary, ordinal and survival data, across different types of clinical studies (parallel group, cross-over, equivalence, non-inferiority and precision based trials). Useful references are made to the regulatory requirements including CHMP, ICH and FDA Guidance for Industry. Comprehensive reference tables and formulae enable the reader to obtain a quick estimate of the required number of subjects. Inclusion of worked examples aid in the understanding of the steps described. Finally, the key points at the end of each chapter provide a useful recap of the salient points.
By Statistician

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