图书简介
The fifth edition of this popular textbook provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, 5th Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals Includes a companion website with downloadable data new separate chapters on topics such as logistic regression; diagnostic tests; assessing the quality of statistics/reading the statistics in a scientific paper and other statistical methods (such as meta-analysis; the bootstrap; imputation of missing data and summary measures for analysing longitudinal data) and additional sections on designs such as pilot/feasibility studies; cluster and stepped wedge randomised controlled trials. From reviews of previous editions: "The book has several excellent features: it is written by statisticians, is.... well presented, is well referenced.... and is short." THE LANCET "Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machin’s book." BRITISH MEDICAL JOURNAL "... a simple, interesting and insightful introduction to medical statistics... highly recommended." STATISTICAL METHODS IN MEDICAL RESEARCH "Campbell and Machin found the golden mean... this book can be recommended for all students and all medical researchers." ISCB NEWSLETTER
Preface, xxx 1 Uses and Abuses of Medical Statistics 2 Displaying and summarising data 3. Summary measures for binary data 4 Probability and distributions 5 Populations, Samples, Standard Errors and Confidence Intervals 6 Hypothesis testing, P-values and statistical inference 7 Comparing two or more groups with continuously measured data 8 Comparing groups of binary and categorical data 9 Correlation and linear regression 10 Logistic Regression 11 Survival Analysis 12 Reliability and Method Comparison Studies 13 Evaluation of diagnostic tests 14 Observational Studies 15 The Randomised Controlled Trial 16 Sample Size Issues 17 Other statistical methods 18 Meta-analysis 19 Common Mistakes and Pitfalls References, xxx Solutions to exercises, xxx Statistical Tables, xxx Index, xxx
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