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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 (Wiley Series in Probability and Statistics). New Jersey: Prentice-Hall; 1999:663. In Applied Survival Analysis: Regression Modeling of Time to Event Data. Hosmer DW, Lemeshow S: Assessment of Model Adequacy. Regression modelling of mortality and time to death data. * Co-first author; ^ corresponding author. Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability. Hosmer DW, Lemeshow S: Applied survival analysis: regression modeling of time to event data. Zhang Y., Chen M.-H., Ibrahim J.G., Zeng D., Chen Q., Pan Z, and Xue X. Chen Q., Zeng D., Ibrahim J.G., Akacha M., and Schmidli H., (2013) "Estimating Time-varying Effects for Overdispersed Recurrent Events Data with Treatment Statistics in Medicine. (2013) ``Bayesian Semi-Competing Risks Frailty Models for Survival data with Treatment Switching''. New York: John Wiley and Sons; 1999:196-240. Effects on acute prognosis were either evaluated by analyzing ICU mortality or time to death after inclusion. 1997 Applied structural mechanics : fundamentals of elasticity, load-bearing structures, structural optimization Eschenauer H. Survival analysis: A self-learning text (2nd ed.). Zar JH: Biostatistical analysis. #interpretation of coefficient of cox proportional hazard (cph) with dummy variable drug library(survival) cphb.drug = coxph(Surv(time,status)~drug, data=dat, method="breslow") cphef.drug = coxph(Surv(time,status)~drug, We can not, however, omit other possible relevant explanatory variables from the model on the grounds that we aren't interested in their relationship to the time to event variable. Applied survival analysis: Regression modeling of time to event data.