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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. Applied survival analysis: Regression modeling of time to event data. May, Applied Survival Analysis, Regression Modeling of Time-to-Event Data. In standard textbooks on survival analysis [29,45]. (1999) Applied Survival Analysis. Importantly, compared to a standard Cox regression model, both the number of observations, the number of events and the observation time is unchanged, so the data are not inflated. Of 99 patients with 217 admissions with AECOPD. Clinical, electrocardiographic, radiological and biochemical data were collected at index and repeat admissions and analyzed in an extended survival analysis with time-dependent covariables. Applied Survival Analysis: Regression Modeling of Time to Event Data. Regression Modeling of Time to Event Data, New York: Wiley & Sons. K Beven, Environmental Modelling: An uncertain Future? Andersen P.K., Gill R.D.; Cox's regression model for counting processes: a large sample study. Applied survival analysis : regression modeling of time-to-event data R853 .S7 H67 2008.