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搜索结果: 1-13 共查到Survival Analysis相关记录13条 . 查询时间(0.14 秒)
The paper proposes an application of the survival time analysis methodology to estimations of the Loss Given Default (LGD) parameter. The main advantage of the survival analysis approach compared to c...
The birth interval is a major determinant of levels of fertility in high fertility populations. A house-to-house survey of 1225 women in Manipur, a tiny state in North Eastern India was carried out to...
Background: Runt domain transcription factor 3 (Runx3) is a putative tumor suppressor in human neoplasia. Previous researches suggested that a lack of Runx3 function contributed to human gastric carci...
Time – the duration of a certain process or the timing of a specified event – plays a central role in many situations in medical research. Waiting time analysis (“survival analysis”) is a field of sta...
To investigate the relationships between clinical findings and symptoms and the survival of patients with Yokkaichi Asthma, in relation to predisposing sulfur dioxide (SO2) exposure, we examined recor...
Halloumi cheese blocks, packaged in vacuum polyamide/polyethylene laminate bags, were stored at 5, 15, and 25°C. The changes in total bacterial count, lactic acid bacteria, total anaerobic bacteria, y...
We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate. We show how these models ...
The paper traces the development of the use of martingale methods in survival analysis from the mid 1970’s to the early 1990’s. This development was initiated by Aalen’s Berkeley PhD-thesis in 1975,...
Background: Gastric cancer is the second most common cancer and known as the second cause of death due to cancers worldwide. Adenocarcinoma is the most fatal cancer in Iran and a patient with this kin...
Survival Analysis: Parametrics to Semiparametrics to Pharmacogenomics。
In this paper we consider analysis of survival data with incomplete covariate information. We model the incomplete covariates as a random coarsening of the complete covariate, and an overview of the...
The GS-distribution is a family of distributions that provide an accurate representation of any unimodal univariate continuous distribution. In this contribution we explore the utility of this family ...
In this work we deal with correlated failure time (age at onset) data arising from populationbased case-control studies, where case and control probands are selected by populationbased sampling and an...

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