Statistical Methods for Survival Data Analysis (Wiley Series in Probability and Statistics) by Elisa T. Lee, John Wenyu Wang
Editorial Reviews
From Book News, Inc. Emphasizing applications over rigorous mathematics, this work examines the statistical methods for analyzing survival data from laboratory studies of animals and clinical studies of humans. The most commonly used parametric and nonparametric methods in survival analysis are discussed, and guidelines are given for designing clinical trials. This third edition covers two additional distributions, and includes programming codes for most examples. The authors teach biostatistics at the University of Oklahoma Health Sciences Center.Copyright © 2004 Book News, Inc., Portland, OR Product Description: Third Edition brings the text up to date with new material and updated references. * New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation procedures for left and interval censored data; parametric methods iwth covariates; Cox's proportional hazards model (including stratification and time-dependent covariates); and multiple responses to the logistic regression model. * Coverage of graphical methods has been deleted. * Large data sets are provided on an FTP site for readers' convenience. * Bibliographic remarks conclude each chapter.
Hardcover: 534 pages Publisher: Wiley-Interscience; 3rd edition (April 4, 2003) ISBN: 0471369977