Titlebook: Analysis of Multivariate Survival Data; Philip Hougaard Book 2000 Springer-Verlag New York, Inc. 2000 Multivariate Survival Data.STATISTIC

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Katharina Bauer,Somogy Varga,Corinna Mieth. For many purposes, this might also be satisfactory for survival data, but for equally many cases it is useful to consider the dependence in more detail. In particular, with censored data, the assumed model for the dependence can have a major importance for the estimated degree of dependence, becau

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Dimensions of Practical Necessityor a stochastic process, which at any time point occupies one of a set of discrete states. In medicine, the states can describe conditions like healthy, diseased, diseased with complications, and dead. A change of state is called a transition. This then corresponds to outbreak of disease, occurrence

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Dimensions of Practical Necessitysks, acting as a factor on the hazard function. The approach makes sense both for parallel data and recurrent events data. In this chapter, only parallel data are considered. The results are presented in terms of individuals, which have the same risk in some groups. Recurrent events data will be sep

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