Applied Survival Analysis: Regression Modeling of Time to Event Data by David W. Hosmer, Stanley Lemeshow

Applied Survival Analysis: Regression Modeling of Time to Event Data



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Applied Survival Analysis: Regression Modeling of Time to Event Data David W. Hosmer, Stanley Lemeshow ebook
Format: djvu
Page: 400
ISBN: 0471154105, 9780471154105
Publisher: Wiley-Interscience


In standard textbooks on survival analysis [29,45]. May, Applied Survival Analysis, Regression Modeling of Time-to-Event Data. 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. Multivariate Cox regression analysis was used to explore the association between breast milk expression and the duration of any breastfeeding. 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. Intention and knowledge in preschoolers' conception of pretend. Child Development, 69, 979-990. 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. K Beven, Environmental Modelling: An uncertain Future? In this paper Survival curve of duration of any breastfeeding by mothers who expressed breast milk.