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Tutorials in Biostatistics
 
 
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Tutorials in Biostatistics
The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the first of two volumes presenting the best tutorials published in SIM, focusing on statistical methods in clinical studies. Topics include the design and analysis of clinical trials, epidemiology, survival analysis, and data monitoring. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics. Many articles include an appendix on the latest developments since publication in the journal and additional references. This will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics.


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Title of ebook: Tutorials in Biostatistics
ISBN: 9780470023662
parent-ISBN: 9780470023655
Publisher: John Wiley & Sons, Ltd.
Internet download file size: 41410 kb
Pages: 466
Published: 09-2005
Released online for download: 09-27-2005
Editor: D'Agostino, Ralph B.
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Chapter One

1.3 Agreement Statistics

TUTORIAL IN BIOSTATISTICS Kappa coefficients in medical research

Helena Chmura Kraemer, Vyjeyanthi S. Periyakoil and Art Noda

SUMMARY

Kappa coefficients are measures of correlation between categorical variables often used as reliability or validity coefficients. We recapitulate development and definitions of the K (categories) by M (ratings) kappas (K × M), discuss what they are well- or ill-designed to do, and summarize where kappas now stand with regard to their application in medical research. The 2 × M (M [greater than or equal to] 2) intraclass kappa seems the ideal measure of binary reliability; a 2 × 2 weighted kappa is an excellent choice, though not a unique one, as a validity measure. For both the intraclass and weighted kappas, we address continuing problems with kappas. There are serious problems with using the K × M intraclass (K > 2) or the various read full excerpt from Tutorials in Biostatistics ebook



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