نتایج جستجو برای: additive hazards model

تعداد نتایج: 2184046  

2012
Masaaki Tsujitani Yusuke Tanaka Masato Sakon

We discuss a flexible method for modeling survival data using penalized smoothing splines when the values of covariates change for the duration of the study. The Cox proportional hazards model has been widely used for the analysis of treatment and prognostic effects with censored survival data. However, a number of theoretical problems with respect to the baseline survival function remain unsol...

Journal: :Epidemiology 2015
Eric J Tchetgen Tchetgen Stefan Walter Stijn Vansteelandt Torben Martinussen Maria Glymour

Bias due to unobserved confounding can seldom be ruled out with certainty when estimating the causal effect of a nonrandomized treatment. The instrumental variable (IV) design offers, under certain assumptions, the opportunity to tame confounding bias, without directly observing all confounders. The IV approach is very well developed in the context of linear regression and also for certain gene...

Journal: :Statistics in medicine 2009
Seunggeun Hyun Yanqing Sun Rajeshwari Sundaram

In analyzing competing risks data, a quantity of considerable interest is the cumulative incidence function. Often, the effect of covariates on the cumulative incidence function is modeled via the proportional hazards model for the cause-specific hazard function. As the proportionality assumption may be too restrictive in practice, we consider an alternative more flexible semiparametric additiv...

Journal: :Annals of the Institute of Statistical Mathematics 2018

Journal: :Axioms 2023

In this paper, we discuss regression analysis of bivariate interval-censored failure time data that often occur in biomedical and epidemiological studies. To solve problem, propose a kind general flexible copula-based semiparametric partly linear additive hazards models can allow for both time-dependent covariates possible nonlinear effects. For inference, sieve maximum likelihood estimation ap...

2005
Shuangge Ma Jian Huang

1 Summary. The additive risk model is a useful alternative to the proportional hazards model. It postulates that the hazard function is the sum of the baseline hazard function and the regression function of covariates. In this article, we investigate estimation in the additive risk model with right censored survival data and high dimensional covariates. A LASSO (least absolute shrinkage and sel...

ژورنال: طب کار 2017

Introduction: Risk management is the most part of health and safety executive (HSE) management systems and it can be used to identify dangers as well as prioritize actions to relieve dangers. Dangers identifying and evaluating risk scores of the dangers are two steps of the risk management that lead to prioritize identified dangers and  help decision makers to allocate the necessary resour...

2013
Masaaki Tsujitani Yusuke Tanaka

The Stanford Heart Transplant data were collected to model survival in patients using penalized smoothing splines for covariates whose values change over the course of the study. The basic idea of the present study is to use a logistic regression model and a generalized additive model with B-splines to estimate the survival function. We model survival time as a function of patient covariates an...

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