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Other volumes in the Wiley Series in Probability and Mathematical Statistics The Statistical Analysis of Failure Time Data J.D. Kalbfleisch & R.L. Prentice This book collects and unifies statistical models and methods that have been proposed for analyzing failure time data. It considers failure time data that arise when items are placed under varying experimental conditions, focusing on regression problems with survival data and specifically the estimation of regression coefficients and distribution shape in the presence of censoring. Special attention has been given to the biomedical sciences, though many of the models and procedures can be applied to industrial and engineering problems. 1980 Statistics A Biomedical Introduction Byron Wm. Brown, Jr. & Myles Hollander Here are the basic methods of introductory statistics, focusing on real-life examples from medicine, public health, and the natural sciences. Probability, hypothesis testing, estimation, analysis of contingency tables, regression analysis, and analysis of variance are all presented in a nonmathematical format. Topics include design and implementation of clinical trials, statistical evaluation of diagnostic tests, methods of randomization, and methods of analyzing survival data with incomplete observations. 1977 Biostatistics Casebook Rupert G. Miller, Jr., Bradley Efron, Byron Wm. Brown, Jr., & Lincoln E. Moses Deals with the statistical aspects of actual biomedical research problems. Provides sufficient scientific background of each problem to motivate and guide the statistical approach. The data are presented in detail, so that the analyses can be checked and alternative approaches attempted. Brings many new and specially developed concepts and techniques to bear on the cases, often applying a variety of techniques to the same data set. 1980

Other volumes in the Wiley Series in Probability and Mathematical Statistics The Statistical Analysis of Failure Time Data J.D. Kalbfleisch & R.L. Prentice This book collects and unifies statistical models and methods that have been proposed for analyzing failure time data. It considers failure time data that arise when items are placed under varying experimental conditions, focusing on regression problems with survival data and specifically the estimation of regression coefficients and distribution shape in the presence of censoring. Special attention has been given to the biomedical sciences, though many of the models and procedures can be applied to industrial and engineering problems. 1980 Statistics A Biomedical Introduction Byron Wm. Brown, Jr. & Myles Hollander Here are the basic methods of introductory statistics, focusing on real-life examples from medicine, public health, and the natural sciences. Probability, hypothesis testing, estimation, analysis of contingency tables, regression analysis, and analysis of variance are all presented in a nonmathematical format. Topics include design and implementation of clinical trials, statistical evaluation of diagnostic tests, methods of randomization, and methods of analyzing survival data with incomplete observations. 1977 Biostatistics Casebook Rupert G. Miller, Jr., Bradley Efron, Byron Wm. Brown, Jr., & Lincoln E. Moses Deals with the statistical aspects of actual biomedical research problems. Provides sufficient scientific background of each problem to motivate and guide the statistical approach. The data are presented in detail, so that the analyses can be checked and alternative approaches attempted. Brings many new and specially developed concepts and techniques to bear on the cases, often applying a variety of techniques to the same data set. 1980