Results 51 to 60 of about 460,073 (142)
Likelihood approach for marginal proportional hazards regression in the presence of dependent censoring [PDF]
, 2005 In many public health problems, an important goal is to identify the effect of some treatment/intervention on the risk of failure for the whole population. A marginal proportional hazards regression model is often used to analyze such an effect.
Zeng, Donglin
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, 2017 Instrumental variable (IV) methods are widely used for estimating average treatment effects in the presence of unmeasured confounders. However, the capability of existing IV procedures, and most notably the two-stage residual inclusion (2SRI) procedure ...
Goodney, Philip P. +4 more
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Time and dose dependency of bone-sarcomas in patients injected with radium-224 [PDF]
, 1988 The time course and dose dependency of the incidence of bone-sarcomas among 900 German patients treated with high doses of radium-224 is analysed in terms of a proportional hazards model with a log-normal dependency of time to tumor and a linear ...
A. M. Kellerer +14 more
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Trend-constrained corrected score for proportional hazards model with covariate measurement error
Contemporary Clinical Trials Communications, 2015 In many medical research studies, survival time is typically the primary outcome of interest. The Cox proportional hazards model is the most popular method to investigate the relationship between covariates and possibly right-censored survival time ...
Ming Zhu, Yijian Huang
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Semiparametric estimation of a panel data proportional hazards model with fixed effects [PDF]
, 2002 This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known ...
Horowitz, J., Lee, S.
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, 2015 Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems.
Hanson, Timothy +3 more
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Contemporary Clinical Trials Communications, 2015 The semi-parametric proportional hazards model is widely adopted in randomized clinical trials with time-to-event outcomes, and the log-rank test is frequently used to detect a potential treatment effect.
Pei He, Zheng Su
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ANALYSIS MULTILEVEL SURVIVAL DATA USING COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL
Media StatistikaMultilevel survival data is time-to-event data with a hierarchical or nested structure. This study aims to model the data using the Covariate-Adjusted Frailty Proportional Hazards method, which is an extension of the Cox proportional hazards model with ...
Krismona Sandelvia +1 more
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Identification of structural duration dependence and unobserved heterogeneity with time-varying covariates [PDF]
, 2000 Known results on the identification of structural duration dependence in the presence of unobserved heterogeneity depend crucially on the proportional hazards assumption. Here, I show that variation in covariates over time, combined with variation across
Brinch, Christian
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Semiparametric estimation of a panel data proportional hazards model with fixed effects [PDF]
This paper considers a panel duration model that has a proportional hazards specification with fixed effects. The paper shows how to estimate the baseline and integrated baseline hazard functions without assuming that they belong to known ...
Joel Horowitz, Sokbae 'Simon' Lee
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