CiNii 図書 - Using and understanding medical statistics

Since the last edition of this book was published, major developments in computer technology have affected both the practice of medicine and the methods of analyzing medical data. These advances make the focus on this revised edition - understanding many of the statistical methods that are used in modern medical studies - all the more important. Two new chapters have been added by the authors. One provides readers with an introduction to the analysis of longitudinal data. The other augments previous material concerning the design of clinical trials, exploring topics such as the use of surrogate markers, multiple outcomes, equivalence trials and the planning of efficacy-toxicity studies. In addition to providing new information and fine-tuning the rest of the book, the authors have reorganized the final six chapters so that the topics build, naturally, on each other. This latest edition is recommended both as an introduction to medical statistics and as a valuable tool in explaining the more complex statistical methods and techniques used today.

Basic concepts
tests of significance
Fisher's test for 2x2 contingency tables
approximate significance tests for contingency tables
some warnings concerning 2x2 tables
Kaplan-Meier or "actuarial" survival curves
the log-rank or Mantel-Haenszel test for the comparison of survival curves
an introduction to the normal distribution
analyzing normally distributed data
linear regression models for medical data
binary logistic regression
proportional hazards regression
the analysis of longitudinal data
data analysis
the question of sample size
the design of clinical trials
further comments regarding clinical trials
epidemiological applications.

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Using and understanding medical statistics

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