Medical Uses of Statistics
John Christian Bailar, Frederick Mosteller
NEJM Books, Jan 1, 1986 - Clinical medicine - 425 pages
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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50 per cent a-level analysis of variance analyzed applied assessment articles assignment authors bias calculated cancer captopril carboxyhemoglobin Chapter chi-square classification clinical trials compared comparisons confidence interval considered contingency tables control group correlation covariates criteria cross-sectional detect discussed disease drug editors effects Engl Engl J Med England Journal error estimate evaluation example Figure group means identified important included infarction inference infinite data insulin interpretation investigators Journal of Medicine Mann-Whitney test measure ment Minitab Mosteller F multiple myocardial infarction N Engl null hypothesis observed ordered categories Original Articles outcome papers patients peer review Ph.D placebo plot population probability problems procedure published questions randomized controlled trial readers References regression line residuals risk sample scientific scores somatostatin specific standard deviation statistical analysis statistical methods statistically significant statistician subjects t-test Table techniques therapy tion tistical treat treatment groups two-sided validity variables