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

Demographic Applications of Event History Analysis, Oxford: Clarendon Press. (2013) ``Bayesian Semi-Competing Risks Frailty Models for Survival data with Treatment Switching''. Cox-regression was applied to model the time-to-event data and to determine which variable(s) had an effect on the duration of breastfeeding, for those mothers who were breastfeeding at the time of discharge from hospital. Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability. Applied Survival Analysis: Regression Modeling of Time to Event Data (Wiley Series in Probability and Statistics). May, Applied Survival Analysis, Regression Modeling of Time-to-Event Data. Multivariate Cox regression analysis was used to explore the association between breast milk expression and the duration of any breastfeeding. * Co-first author; ^ corresponding author. Hosmer WileyBlackwell 2nd Edition edition. K Beven, Environmental Modelling: An uncertain Future? Applied Survival Analysis: Regression Modeling of Time to Event Data David W. 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. Regression Modeling of Time to Event Data, New York: Wiley & Sons. (1999) Applied Survival Analysis. Zhang Y., Chen M.-H., Ibrahim J.G., Zeng D., Chen Q., Pan Z, and Xue X. In this paper Survival curve of duration of any breastfeeding by mothers who expressed breast milk.