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 David W. Hosmer, Stanley Lemeshow ebook
ISBN: 0471154105, 9780471154105
Page: 400
Publisher: Wiley-Interscience
Format: djvu

Ɩ手上路 注册于: 2012/08/31 发帖数: 3. In banking field In the first case, we'll have a model as a function of n+1 variables (time t and n significant variables), while in the other, it will depend only by time (through a method similar to linear regression). The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including A partial list of topics reflecting the broad range of interests covered in the journal includes accelerated failure time models, degradation processes, meta-analysis, models for multiple events, nonparametric estimation of survival functions, quality-of-life models, rank tests for comparing lifetime distributions, and reliability methods. Some survival models have been created to produce principally 2 functions: Survival Function S(t), which represents the odds that the event would happen after time t, and Hazard Curve h(t), that describes probability of the phenomenon at time t. Regression modelling of mortality and time to death data. Effects on acute prognosis were either evaluated by analyzing ICU mortality or time to death after inclusion. Generalized estimating equations model, individual growth model, multilevel model, hierarchical linear model, random regression model, survival analysis, event history analysis, failure time analysis, and hazard model. ś复第4楼 的neige：这本书第二版比较难找啊. From the Revolutionary Generation to the Victorians by: Norma Basch Applied Survival Analysis: Regression Modeling of Time to Event Data by: David W. Ȱ谢分享，能有Applied Survival Analysis Regression Modeling of Time to Event Data第2版就好了.