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

Hosmer DW, Lemeshow S: Assessment of Model Adequacy. 1997 Applied structural mechanics : fundamentals of elasticity, load-bearing structures, structural optimization Eschenauer H. Applied survival analysis: Regression modeling of time to event data. Applied Logistic Regression Modeling of Time to Event Data - FC2David W. The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including A partial list of topics reflecting the broad range of interests covered in the journal includes accelerated failure time models, degradation processes, meta-analysis, models for multiple events, nonparametric estimation of survival functions, quality-of-life models, rank tests for comparing lifetime distributions, and reliability methods. In an analysis of individuals' health inequality based on mortality, Gakidou [12] proposed a measure of total health inequality derived from the beta-binomial regression model, which unified treatment of various measures including the Gini coefficient [13] and other estimates of inequalities. In Applied Survival Analysis: Regression Modeling of Time to Event Data. 8 Incidence and Reoccurrence of Damage. New York: John Wiley and Sons; 1999:196-240. Multilevel survival models are flexible and efficient tools in studying health inequalities of life expectancy or survival time data with a geographic structure of more than 2 levels. Applied Regression Analysis (Wiley Series in Probability and . Regression Methods in Biostatistics - Linear, Logistic , Survival, and . 8 Severity and Consequences of Damage. Our analysis of survival time used an “accelerated failure-time regression model” to quantify the effect of independent variables on the distribution of survival times (Allison 1995, Hosmer and Lemeshow 1999). 14 Growth in Cross-Sectional Area of Surviving Trees.