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Time to failure, time to event, survival time -- it's all basically the same statistical model. The outcome of interest is the length of time that elapses before something (whether good or bad) happens, and you can learn how to model this in statistics.com's online course “Survival Analysis,” March 25 – April 22, with Prof. Matthew Strickland and Dr. David Kleinbaum. Upcoming Courses: Mar 11: Biostatistics 2 Mar 11: Logistic Regression Mar 25: Survival Analysis (more below) Mar 25: Adaptive Designs for Clinical Trials Apr 15: Advanced Logistic Regression Jun 3: Epi 1: Fundamentals of Epidemiology “Survival Analysis” describes the various methods used for modeling and evaluating survival data, also called time-to-event data. Survival models are used in a variety of health and social sciences, including biostatistics, epidemiology, anthropology, sociology, psychology and economics. In engineering applications, the topic is called "time-to-failure" analysis. General statistical concepts and methods discussed in this course include survival and hazard functions, Kaplan-Meier graphs, log-rank and related tests, Cox proportional hazards model, and the extended Cox model for time-varying covariates. Dr. Kleinbaum is internationally known for his textbooks in statistical and epidemiologic methods and as an outstanding teacher. His popular text “Survival Analysis – A Self Learning Text” is the text for this course. He has also taught over 150 short courses over the past 30 years throughout the world. Prof. Mathew Strickland is Assistant Professor in the Department of Environmental and Occupational Health at Emory University. He has taught a variety of in-person and distance education courses on Epidemiologic Modeling, Fundamentals of Epidemiology, and Maternal/Child Health Epidemiology. He and David Kleinbaum have taught the survival analysis course at statistics.com since 2006. His research interests are air pollution epidemiology, birth defects epidemiology, and epidemiology methods. Participants can ask questions and exchange comments with Prof. Strickland via a private discussion board throughout the period. Details: http://www.statistics.com/courses/life-science/survival/ This course takes place at statistics.com in a series of 4 weekly lessons and assignments, and requires about 15 hours/week. Participate at your own convenience; there are no set times when you are required to be online. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.