文档介绍：Power Analysis for Experimental Research
A Practical Guide for the Biological, Medical and
Social Sciences
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. prehensive, yet accessible, book provides prac-
ticing 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.
. is Professor at the University of Maryland School
of Medicine and Director of Research of plementary Medicine
Program. He has served as the editor-in-chief of the peer-reviewed
methodology journal Evaluation and the Health Professions for the past
25 years and has conducted statistical research in a number of disciplines
related to the medical sciences.
- is a Data Analyst at the Department of Veteran’s Affairs,
Puget Sound Health Care System in Seattle, Washington. She pre-
viously worked as a statistical consultant with a particular interest in meta-
analysis.
Power Analysis for
Experimental Research
A Practical Guide for the Biological, Medical
and Social Sciences
R. BARKER BAUSELL
YU-FANG LI
Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, São Paulo
Cambridge University Press
The Edinburgh Building, Cambridge , United