Results 51 to 60 of about 1,569,089 (229)
Pseudo-partial likelihood for proportional hazards models with biased-sampling data.
Biometrika, 2009 We obtain a pseudo-partial likelihood for proportional hazards models with biased-sampling data by embedding the biased-sampling data into left-truncated data.
W. Tsai
semanticscholar +1 more source
Computational and Structural Biotechnology Journal, 2022 Background: Cox proportional hazard regression (CPH) model relies on the proportional hazard (PH) assumption: the hazard of variables is independent of time. CPH has been widely used to identify prognostic markers of the transcriptome.
Zihang Zeng +7 more
doaj
When can relative risks provide causal estimates? [PDF]
arXiv, 2021 It is emphasised that for epidemiological studies where disease incidence is rare, results from conventional proportional hazards models can often correctly estimate causal associations. The well-known "backdoor criteria" from causal-inference is applied to the common epidemiological study of rare diseases with a proportional hazards model, providing ...
arxiv
Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps
MachinesThis paper presents the use of proportional hazards regression models for predicting the Mean Time Between Failures (MTBF) of centrifugal pumps in the oil and gas industry.
Marc Vila Forteza +3 more
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Mathematics, 2023 The ranked set sampling (RSS) is an efficient and flexible sampling method. Based on a modified RSS named minimum ranked set sampling samples (MinRSSU), inference of a dependent competing risks model is proposed in this paper.
Ying Zhou +3 more
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Instrumental variable estimation of the proportional hazards model by presmoothing [PDF]
arXiv, 2023 We consider instrumental variable estimation of the proportional hazards model of Cox (1972). The instrument and the endogenous variable are discrete but there can be (possibly continuous) exogenous covariables. By making a rank invariance assumption, we can reformulate the proportional hazards model into a semiparametric version of the instrumental ...
arxiv
Linking period and cohort life-expectancy linear increases in Gompertz proportional hazards models
Demographic Research, 2011 In a Gompertz mortality model with constant yearly improvements at all ages, linear increases in period life expectancy correspond to linear increases in the respective cohort life expectancy.
Trifon I. Missov, Adam Lenart
doaj
مجله اپیدمیولوژی ایران, 2013 Background & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters.
H Noorkojuri +3 more
doaj
On a general structure for hazard-based regression models: an application to population-based cancer research [PDF]
arXiv, 2018 The proportional hazards model represents the most commonly assumed hazard structure when analysing time to event data using regression models. We study a general hazard structure which contains, as particular cases, proportional hazards, accelerated hazards, and accelerated failure time structures, as well as combinations of these.
arxiv
BMC Medical Research Methodology, 2019 Background Most clinical trials with time-to-event primary outcomes are designed assuming constant event rates and proportional hazards over time. Non-constant event rates and non-proportional hazards are seen increasingly frequently in trials.
Kim Jachno +2 more
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