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Medical Sample Size Calculations in Clinical Research (Biostatistics, 11)
Posted on 2010-03-15
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Sample Size Calculations in Clinical Research (Biostatistics, 11) By Shein-Chung Chow, Jun Shao, Hansheng Wang, Publisher: CRC
Number Of Pages: 358 Publication Date: 2003-03-04 Sales Rank: 439043 ISBN / ASIN: 0824709705 EAN: 9780824709709 Binding: Hardcover Manufacturer: CRC Studio: CRC Average Rating: 3 This text enforces statistical design procedures that ensure the validity, accuracy, reliability, and reproducibility of clinical studies. It illustrates formulas for sample size calculation with selected examples from studies on women's health, oncology, in vivo and in vitro bioequivalence, and the cardiovascular and central nervous systems. Topics of discussion include regulatory requirement, considerations prior to sample size calculation, confounding and interaction, crossover design versus parallel design, subgroup/interim analyses, Fisher's exact test, tests for goodness-of-fit and contingency tables, Cox's proportional hazards model, and comparing variabilities. Review: This *could* have been great... At first browse, this book looks a bit like one of Julius Bendat's excellent texts on time series analysis: dense in formulas, but rewarding the wade. And then I tried to actually _work through_ their examples. A formula-rich book is NO place for typos. I don't mind when the text uses "lossed" for "lost;" I can quickly figure out what was meant. I resent having to do forensics to rebuild what formulas and/or results I should have seen in the examples. That three-star rating reflects two things: the potential this book could have had, and my expectation that sooner or later there will be an ERRATA listing that helps sort this beast out.pass: gigapedia type: .rar archive with .pdf ebook inside Size: 12.33 MB MD5: 202c2884e3fd82f450c8a2e0813f0e7e
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