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. This comprehensive, accessible book provides practicing researchers with step-by-step instructions for conducting power/sample size analyses, assuming only basic prior knowledge of summary statistics and normal distribution. It contains a unified approach to statistical power analysis, with numerous easy-to-use tables that make further calculations or statistical expertise unnecessary.

R. Barker Bausell is Professor at the University of Maryland School of Medicine and Director of Research of the Complementary 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. Yu-Fang Li is a Data Analyst at the Department of Veteran's Affairs, Puget Sound Health Care System in Seattle, Washington. She previously worked as a statistical consultant with a particular interest in meta-analysis.