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Power analysis for experimental research : a practical guide for the biological, medical, and social sciences
Authors: ---
ISBN: 0521024560 9780521024563 9780521809160 9780511541933 0521809169 Year: 2006 Publisher: Cambridge Cambridge University Press

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Abstract

Power analysis is an essential tool for determining whether a statistically significant result can be expected in an experiment prior to the experiment being performed. This book provides researchers in the medical and biological sciences with an easy-to-use guide to the application of power analysis in the design of experiments.

Power analysis for experimental research : a practical guide for the biological, medical, and social sciences
Authors: ---
ISBN: 1107131820 1280433795 9786610433797 0511331258 1139147560 0511170416 0511064039 0511057709 0511541937 051107249X 9780511064036 9780511057700 9780511072499 9780511170416 9780511541933 9780521809160 0521809169 0521809169 9781280433795 9781107131828 6610433798 9780511331251 9781139147569 9780521024563 0521024560 Year: 2002 Publisher: Cambridge ; New York : Cambridge University Press,

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Abstract

Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment prior to the experiment being performed. Many funding agencies and institutional review boards now require power analyses to be carried out before they will approve experiments, particularly where they involve the use of human subjects. This comprehensive, yet accessible, book provides practising researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and the normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables to guide the reader without the need for further calculations or statistical expertise. This will be an indispensable text for researchers and graduates in the medical and biological sciences needing to apply power analysis in the design of their experiments.

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