Includes bibliographical references and index.

Part I : introduction. Study type determination -- Part II : observational studies. Determination of association strength between an exposure factor and an event in observational studies ; Increasing accuracy in observational studies -- Part III : step-by-step biostatistics of a clinical trial. Step 1 : investigator's hypothesis and expression of its corresponding outcome ; Step 2 : n estimation and n assessment of a published trial ; Step 3 : organization of variables and endpoints ; Step 4 : measures for results expression of a clinical trial ; Step 5 : determination of normality or non-normality of data distribution ; Step 6 : hypothesis testing ; Step 7 : correlating sample data with the general population 95% confidence interval -- Part IV : additional concepts in biostatistics. Individual and collective benefit and risk indexes inferable from intervention studies ; Statistical assessment of diagnostic tests for the clinic ; Systematic reviews and meta-analyses ; Correlation and regression ; Per protocol analysis and intention to treat analysis.

Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards. Practical Biostatistics provides researchers, medical professionals, and students with a friendly, practical guide to biostatistics. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or a hands-on guide to effectively incorporate biostatistics in clinical trials.

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