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

Ɩ�手上路 注册于: 2012/08/31 发帖数: 3. September 26th, 2012 reviewer Leave a comment Go to comments. Applied Survival Analysis: Regression Modeling of Time to Event Data : PDF eBook Download. Analysis of Multivariate Survival Data * Ibrahim J.G., Chen M.-H. Ȱ�谢分享，能有Applied Survival Analysis Regression Modeling of Time to Event Data第2版就好了. Multivariate Cox regression analysis was used to explore the association between breast milk expression and the duration of any breastfeeding. Multilevel survival models are flexible and efficient tools in studying health inequalities of life expectancy or survival time data with a geographic structure of more than 2 levels. 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. In this paper Survival curve of duration of any breastfeeding by mothers who expressed breast milk. Applied Survival Analysis: Regression Modeling of Time to Event Data * Hougaard P. In an analysis of individuals' health inequality based on mortality, Gakidou [12] proposed a measure of total health inequality derived from the beta-binomial regression model, which unified treatment of various measures including the Gini coefficient [13] and other estimates of inequalities. ś�复第4楼 的neige：这本书第二版比较难找啊. Applied survival analysis: Regression modeling of time to event data.