Medical Biostatistics, Second Edition

Abhaya Indrayan

March 10, 2008 by Chapman and Hall/CRC
Textbook - 824 Pages - 87 B/W Illustrations
ISBN 9781584888871 - CAT# C8873
Series: Chapman & Hall/CRC Biostatistics Series

This product is not available
FREE Standard Shipping!

Features

  • Provides comprehensive coverage of the wide range of biostatistical methods used in evidence-based patient management, medical research, and health administration
  • Demonstrates how biostatistics helps manage many types of medical uncertainties
  • Explains various statistical methods step-by-step
  • Contains a large number of real-world examples that elucidate the medical meaning of the results
  • Includes guide charts in the beginning of the book to enable immediate retrieval of statistical procedures
  • Summary

    Emphasizing statistical concepts used in medicine, the interpretation of methods, and applications, Medical Biostatistics, Second Edition shows how biostatistical methods are important tools in managing uncertainties in medicine and the health sciences. With coverage ranging from elementary topics, such as mean and standard deviation, to advanced approaches, such as logistic regression and multivariate methods, this edition is even more far-reaching in scope than its predecessor.

    New to the Second Edition

  • Full chapters on clinical trials, observational studies, laboratory experiments, survival analysis, and logistic regression
  • A new chapter on clinimetrics and evidence-based medicine
  • Expanded discussions on epistemic uncertainties, crossover designs, equivalence trials and studies, hazard functions, and the log-rank test
  • The introduction of research evidence, multilevel regression, classification, and regression trees at an elementary level
  • Sample size formulas for relative risk, odds ratio, and survival studies
  • Numerous additional examples from contemporary medical literature
  • Numbered steps for the many procedures and remarks
  • Requiring only high school algebra, this text enables a solid understanding of the statistical concepts required to critically examine medical literature, scientifically plan and carry out medical investigations, and meaningfully analyze data.