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

流浪者

Statistical inference for shared frailty models,ed in the model, or one can attempt to remove it from the likelihood, an approach that is inspired by the successful way of doing so in the Cox model. Also for the Nelson-Aalen estimate, it is easy to handle the hazard contributions, because there is a separate equation for each term allowing for an

BIAS

財(cái)政

amnesia

Marginal and copula modeling,h, where the estimate is found under the (incorrect) assumption of independence between the coordinates. This yields directly the final estimate of the regression coefficients. The uncertainty of the regression coefficient estimate is evaluated by means of an estimator that accounts for the dependen

backdrop

Change and Usefulness of Project Managementecondly, combining subgroups with different degrees of dependence in a single model, for example, monozygotic and dizygotic twins, is difficult in a shared frailty model. Furthermore, this extension can be an improvement for the consideration of effects of covariates in frailty models.

ureter

https://doi.org/10.1007/978-3-030-04076-5nt to include a description of the advantages and disadvantages of each single approach. Finally, a more subtle aim is to put all the approaches in a common frame and also describe the similarities between the various data types and approaches.

ICLE

痛得哭了

Sciatica

1431-8776 ut previously standard methods have requested that all time variables are univariate and independent. This book extends the field by allowing for multivariate times. Applications where such data appear are survival of twins, survival of married couples and families, time to failure of right and left

DEFER

Katharina Bauer,Somogy Varga,Corinna Miethail. In particular, with censored data, the assumed model for the dependence can have a major importance for the estimated degree of dependence, because the model for dependence for the period with data will extrapolate into the time period where all individuals are censored.