Practical statistical methods a SAS programming approach

• Main Author: Padgett, Lakshmi V. (Author)
• Format: Book Chapter
• Language: English
• Published: Boca Raton, FL CRC Press 2011
• Subjects: Mathematical statistics > Data processing; Probabilities > Data processing; SAS (Computer program language) > Data processing
• Online Access: Click Here to View Status and Holdings.
• Physical Description: xiii, 290 pages illustrations 25 cm
• Bibliography: Includes bibliographical references and index
• ISBN: 9781439812822; 1439812829; 9780415804318; 0415804310

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.