Group Tests for High-dimensional Failure Time Data with the Additive Hazards Models
نویسندگان
چکیده
منابع مشابه
Additive hazards model with multivariate failure time data
Marginal additive hazards models are considered for multivariate survival data in which individuals may experience events of several types and there may also be correlation between individuals. Estimators are proposed for the parameters of such models and for the baseline hazard functions. The estimators of the regression coefficients are shown asymptotically to follow a multivariate normal dis...
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Interval-censored failure time data often arise in clinical trials and medical follow-up studies, and a few methods have been proposed for their regression analysis using various regression models (Finkelstein (1986); Huang (1996); Lin, Oakes, and Ying (1998); Sun (2006)). This paper proposes an estimating equation-based approach for regression analysis of interval-censored failure time data wi...
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Multivariate failure time data, also referred to as correlated or clustered failure time data, arise when more than one failure outcome is observed for an individual, or when group randomization or cluster sampling is used, or both. For example, in the well known Framingham Heart Study (Dawber (1980)), times to myocardial infarction, cerebrovascular accident, cancer, and so on, were observed fo...
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ژورنال
عنوان ژورنال: The International Journal of Biostatistics
سال: 2017
ISSN: 1557-4679
DOI: 10.1515/ijb-2016-0085