Rejoinder for "Meta-analysis for surrogacy: accelerated failure time models and semi-competing risks modelling"
نویسندگان
چکیده
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] ∗∗email: [email protected] ∗∗∗email: [email protected]
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 ...
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In this note, we address the problem of surrogacy using a causal modelling framework that differs substantially from the potential outcomes model that pervades the biostatistical literature. The framework comes from econometrics and conceptualizes direct effects of the surrogate endpoint on the true endpoint. While this framework can incorporate the so-called semi-competing risks data structure...
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Background: Thalassemia major (TM) is a severe disease and the most common anemia worldwide. The survival time of the disease and its risk factors are of importance for physicians. The present study was conducted to apply the semi-parametric Cox PH model and use parametric proportional hazards (PH) and accelerated failure time (AFT) models to identify the risk factors related to survival of TM ...
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Introduction: Breast cancer is one of the most common cancers among women worldwide. Patients with cancer may die due to disease progression or other types of events. These different event types are called competing risks. This study aimed to determine the factors affecting the survival of patients with breast cancer using three different approaches: cause-specific hazards regression, subdistri...
متن کاملIdentification of a competing risks model with unknown transformations of latent failure times
This paper is concerned with identification of a competing risks model with unknown transformations of latent failure times. The model in this paper includes, as special cases, competing risks versions of proportional hazards, mixed proportional hazards, and accelerated failure time models. It is shown that covariate effects on latent failure times, cause-specific link functions, and the joint ...
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عنوان ژورنال:
- Biometrics
دوره 68 1 شماره
صفحات -
تاریخ انتشار 2012