Rejoinder for “Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”
نویسندگان
چکیده
منابع مشابه
Meta-analysis for surrogacy: accelerated failure time models and semicompeting risks modeling.
There has been great recent interest in the medical and statistical literature in the assessment and validation of surrogate endpoints as proxies for clinical endpoints in medical studies. More recently, authors have focused on using metaanalytical methods for quantification of surrogacy. In this article, we extend existing procedures for analysis based on the accelerated failure time model to ...
متن کاملRejoinder for "Meta-analysis for surrogacy: accelerated failure time models and semi-competing risks modelling"
Debashis Ghosh,1,∗ Jeremy M. G. Taylor,2,∗∗ and Daniel J. Sargent3,∗∗∗ 1Departments of Statistics and Public Health Sciences, Penn State University, University Park, Pennsylvania 16802, U.S.A. 2Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. 3Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, U.S.A. ∗email: [email protected] ∗∗em...
متن کاملNonparametric Identication of Accelerated Failure Time Competing Risks Models
We provide new conditions for identi cation of accelerated failure time competing risks models. These include Roy models and some auction models. In our set up, unknown regression functions and the joint survivor function of latent disturbance terms are all nonparametric. We show that this model is identi ed given covariates that are independent of latent errors, provided that a certain rank co...
متن کاملNonparametric Identification of Accelerated Failure Time Competing Risks Models
We provide new conditions for identification of accelerated failure time competing risks models. These include Roy models and some auction models. In our set up, unknown regression functions and the joint survivor function of latent disturbance terms are all nonparametric. We show that this model is identified given covariates that are independent of latent errors, provided that a certain rank ...
متن کاملRegression modeling of semicompeting risks data.
Semicompeting risks data are often encountered in clinical trials with intermediate endpoints subject to dependent censoring from informative dropout. Unlike with competing risks data, dropout may not be dependently censored by the intermediate event. There has recently been increased attention to these data, in particular inferences about the marginal distribution of the intermediate event wit...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2011
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2011.01638.x