Applied Survival Analysis: Regression Modeling of Time to Event Data David W. Hosmer, Stanley Lemeshow
Publisher: Wiley-Interscience

Applied Survival Analysis: Regression Modeling of Time to Event Data David W. Applied survival analysis: regression modeling of time to event data, 2nd edition. Survival analysis, also identified as event history evaluation, is a class of statistical methods for studying the occurrence and timing survival data have two attributes that are challenging to handle with other statistical methods: censoring and time-dependent covariates. The standard multiple linear regression model is not well suited to survival data for several reasons; among these are (i) survival times are typically not normally distributed, and (ii) censored data is commonplace, resulting in missing values for the Early attempts to circumvent these problems involved applying the log transform to survival time, but this worked well only when censoring was present in a very small percentage of the observations (Everitt and Rabe-Hesketh, [2]). We use survival analysis; the source of the data is a large administrative panel of a sample representative for all older persons in Belgium (1,268,740 quarterly observations for 69,562 individuals). The study of events involving an element of time has a long and important history in statistical study and practice. Hosmer WileyBlackwell 2nd Edition edition. Hosmer, Stanley Lemeshow, and Susanne May. New York: Springer-Verlag; 2000:74. Applied survival Evaluation: Regression Modeling of Time to Occasion Information. Applied Survival Analysis: Regression Modeling of Time-to-Event Data (2nd ed.) David W. Therneau TM, Grambsch PM: Modeling Survival Data: Extending the Cox Model. The Little SAS Book: A Primer (4th ed.) Lora D. Time to event analyses (aka, Survival Analysis and Event History Analysis) are used often within medical, sales and epidemiological research. Given the large sample and quarterly observations, there are of course a very large number of ties (where several individuals experience the event of interest at the same moment in time), making application of Cox regression models problematic. Hosmer DW, Lemeshow S: Applied Survival Analysis: Regression Modeling of Time to Event Data. Applied survival analysis: Regression modeling of time to event data.