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Survival Analysis: A Self-Learning Text David G. Kleinbaum, Mitchel Klein
Publisher: Springer

Statistics in the Health Sciences: Survival Analysis, a Self-Learning Text. Survival Analysis: A Self-Learning Text – Data files here. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets. The probability of no TST repetition at the end of the follow-up period in patients whose initial test was nonreactive. New York: Springer Science; 2005. Survival Analysis – See Klein's page for data sets and errors. For the purpose of this study, we dichotomized maternal education into completed high school .. Cox proportional hazard regression (survival) analysis was used to determine the association between earliest time to rehabilitation (i.e., waiting times for PT or OT) and the various factors (Christensen 1987; Kleinbaum 1996). Survival analysis: A self-learning text. Survival analysis using the SAS system: A practical guide. Survival analysis: a self-learning text. York Press 2008-10-04 17:19 Lecture Notes in Survival Analysis (collection) by: Various Authors 2008-09-04 20:51 Survival Analysis: A Self-Learning Text (Statistics for Biology and Health) 2005-08 by: David G. His popular text "Survival Analysis - A Self Learning Text" is the text for this course. Group learning curves: The effects of turnover and task complexity on group performance. The study also set out to analyze factors associated with the time until TST repetition at two HIV/AIDS referral services that carry out the TST on a routine basis in Recife, Pernambuco, Brazil. Klein, Survival Analysis: A Self-Learning Text, Springer, New York, NY, USA, 2nd edition, 2005. He has also taught over 150 short courses over the past 30 years throughout the world. Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health).