Statistics in medicine / R.H. Riffenburgh.

Includes bibliographical references (pages 581-584) and indexes.

Data, notation, and some basic terms -- Distributions -- Summary statistics -- Confidence intervals and probability -- Hypothesis testing: concept and practice -- Statistical testing, risks, and odds in medical decisions -- Sample size required for a study -- Statistical prediction -- Epidemiology -- Reading medical articles -- Using the reference guide -- Planning medical studies -- Finding probabilities of error -- Confidence intervals -- Tests on categorical data -- Tests on ranked data -- Tests on means of continuous data -- Multifactor tests on means of continuous data -- Tests on variances of continuous data -- Tests on the distribution shape of continuous data -- Equivalence testing -- Sample size required in a study -- Modeling and clinical decisions -- Regression and correlation methods -- Survival and time-series analysis -- Methods you might meet, but not every day.

Print version record.

Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does no.

English.

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