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Informationen zum Autor Helena Chmura Kraemer is professor emerita of biostatistics in the Department of Psychiatry and Behavioral Sciences at Stanford University. She earned her BA in mathematics from Smith College! attended Manchester University on a Fulbright Scholarship! and received her PhD in statistics from Stanford University. Kraemer's specific research interests include improvement to randomized clinical trial methodology! assessment of reliability and validity of diagnoses and clinical measurement! and developing mathematical models for specific problems in behavioral and clinical research. She has published extensively in the behavioral as well as statistical literature. Kraemer has received the Harvard Prize in Psychiatric Biostatistics and Epidemiology (2001)! the Andrew C. Leon Distinguished Career Award (2014)! an Honorary Doctor of Science from Wesleyan University (2014)! and is a member of the Institute of Medicine! National Academy of Sciences (2003). In retirement! she continues to serve on several editorial boards! and consult on research projects. Klappentext How Many Subjects? is a practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Because the same technique is used with only slight modifications for different statistical tests! researchers can easily compare the sample sizes required by different designs and tests to make cost-effective decisions in planning a study. These comparisons! emphasized throughout the book! demonstrate important principles of design! measurement and analysis that are rarely discussed in courses or textbooks. Zusammenfassung A practical guide to sample size calculations and general principles of cost-effective research. It introduces a simple technique of statistical power analysis which allows researchers to compute approximate sample sizes and power for a wide variety of research designs. Inhaltsverzeichnis CHAPTER 1 Introduction CHAPTER 2 General Concepts CHAPTER 3 The Pivotal Case Intraclass Correlation CHAPTER 4 Equality of News Z- and T- tests! Balanced ANOVA CHAPTER 5 Correlation Coefficients CHAPTER 6 Linear Regression CHAPTER 7 Homogeneity of Variance Tests CHAPTER 8 Binomial Tests CHAPTER 9 Contingency Table Analysis CHAPTER 10 Conclusions ...
