Medical Uses of StatisticsJohn Christian Bailar (III), John Christian Bailar, Frederick Mosteller Biomedical research investigators and clinicians who are keeping up with the literature often find that their preparation in statistical concepts, methods, and techniques needs to be updated. Like other fields, statistics advances rapidly, and even those with strong previous training may wish to freshen their information. This book surveys the state of the art of statistical applications in clinical research and illustrates good and poor uses of methods. With few exceptions, we stress the concepts underlying statistics rather than its more technical how-to-do-it aspects. The 20 chapters of this book are divided into 6 broad sections: Broad concepts and analytic techniques. Design. Analysis. Communicating results. Communicating among experts. Reviews and meta-studies. |
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a-level adjustment analysis of variance applied assessment articles assignment authors bias calculate cancer captopril cent Chapter chi-square classification clinical trials compared confidence interval considered contingency tables correlation covariates criteria crossover design crossover studies difference discussed disease drug editors ence Engl Engl J Med England Journal error estimate evaluation example experiment group means identified important included inference infinite data insulin interpretation investigators Journal of Medicine Mann-Whitney Mann-Whitney test measurements ment Minitab Mosteller F multiple multiple-comparison methods myocardial infarction null hypothesis observed Original Articles outcome papers patients percentage Ph.D placebo plot population probability problems procedures published questions randomized controlled trial readers reduction References regression line residuals risk sample scientific scores somatostatin specific standard deviation statistical analysis statistical methods statistical power statistically significant statistician study design subjects t-tests Table techniques therapy tion tistical treat treatment groups validity variables