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

Weibull proportional hazards regression was used to estimate the risk of .. (2013) ``Bayesian Semi-Competing Risks Frailty Models for Survival data with Treatment Switching''. Time to event analyses (aka, Survival Analysis and Event History Analysis) are used often within medical, sales and epidemiological research. Effects on acute prognosis were either evaluated by analyzing ICU mortality or time to death after inclusion. 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. Hosmer DW, Lemeshow S (1999) Applied Survival Analysis. Regression modelling of mortality and time to death data. (2013) Towards Renewed Health Economic Simulation of Type 2 Diabetes: Risk Equations for First and Second Cardiovascular Events from Swedish Register Data. * Co-first author; ^ corresponding author. The Prentice, Williams, and Peterson gap time model [26 ] was applied to estimate the hazard ratios of first and second CVD events in separate equations.