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

(Author), Stanley Lemeshow (Author), Susanne May (Author). Cox proportional hazards analysis was used to calculate the adjusted relative hazards of a vascular event by each variable. 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. Thus, one can estimate the effect of the G-E interaction term approximately correctly without performing a logistic regression of D. This approach can also be applied in logistic models in the presence of covariates [39]. 8 Severity and Consequences of Damage. 8 Incidence and Reoccurrence of Damage. Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics) by David W. Statistical Analysis – Survival Analysis of Follow-up Data.