Applied Survival Analysis: Regression Modeling of Time to Event Data David W. Hosmer, Stanley Lemeshow
Applied Survival Analysis: Regression Modeling of Time to Event Data. Applying Generalized Linear Models. Regression Methods in Biostatistics - Linear, Logistic , Survival, and . Applied Turbulence Modelling in Marine Waters. Applied Regression Analysis (Wiley Series in Probability and . Survival analysis: A self-learning text (2nd ed.). 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, ). Applied survival analysis : regression modeling of time-to-event data R853 .S7 H67 2008. From the Revolutionary Generation to the Victorians by: Norma Basch Applied Survival Analysis: Regression Modeling of Time to Event Data by: David W. Product DescriptionTHE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since. Applied Logistic Regression Modeling of Time to Event Data - FC2David W. Applied survival analysis: Regression modeling of time to event data.