Nonparametric Statistical Methods For Complete and Censored Data

Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the general theory of statistical inference and introduce the concepts intuitively for students with minimal backgrounds. Derivations and mathematical details are relegated to appendices at the end of each chapter, which allows students to easily proceed through each chapter without becoming bogged down in a lot of mathematics. In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included. Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate-level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists. Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics.

Table of Contents:
Procedures for a Single Sample Introduction Binary Response Complete Data on Continuous Responses Procedures for Censored Data Appendix A: Mathematical Supplement Appendix B: Computer Programs Problems References Procedures for Two Independent Samples Introduction Two Sample Problem with Binary Responses Studies with Categorical Responses Methods for Continuous Responses Linear Rank Statistics for the Two Sample Problem Analysis of Censored Data Asymtotic Relative of Efficiency (Pitman's Efficiency) Appendix A: Mathematical Supplement Appendix B: Computer Programs Problems References Procedures for Paired Samples Introduction Analysis of Paired Binary Responses Complete Data for Continuous Responses Asymtotic Relative Efficiency Analysis of Censored Data Appendix A: Mathematical Supplement Appendix B: Computer Programs Problems References Procedures for Several Independent Samples Introduction Discrete Responses Continuous Responses with Complete Data Multiple Comparison Procedures Jonckheere's Test for Completely Ordered Alternatives Comparison of Several Treatments with a Control Censored Data Appendix A: Mathematical Supplement Problems References Analysis of Block Design Introduction RCB Designs with Binary Responses RCB Designs with Continuous Censored Data Rank Tests for RCB Designs General Block Designs with Continuous Uncensored Data A Multiple Comparison Procedure Using Friedman's Ranks Page Test for Ordered Alternatives in RCB Designs RCB Designs with Censored Data Appendix A: Mathematical Supplement Appendix B: Computer Programs Problems References Independence, Correlation, and Regression Introduction Analysis of a Bivariate Sample Testing for Correlation between Continuous Variables Linear Regression Logistic Regression Procedures for Censored Data Appendix A: Mathematical Supplement Appendix B: Computer Programs Problems References Computer Intensive Methods Introduction Permutation Tests and Randomization Tests Bootstrap Methods References Solutions to Selected Problems Author Index Subject Index