Results 31 to 40 of about 617,984 (298)
The Hazard of Non-proportional Hazards in Time to Event Analysis.
European Journal of Vascular and Endovascular Surgery, 2021 L. Meuli, C. Kuemmerli
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Cancer Survival Estimates Due to Non-Uniform Loss to Follow-Up and Non-Proportional Hazards [PDF]
Asian Pac J Cancer Prev, 2017 K M JK, Mathew A, Sara George P.
europepmc +3 more sources
Estimating average regression effect under non-proportional hazards. [PDF]
Biostatistics, 2000 We present an estimator of average regression effect under a non-proportional hazards model, where the regression effect of the covariates on the log hazard ratio changes with time. In the absence of censoring, the new estimate coincides with the usual partial likelihood estimate, both estimates being consistent for a parameter having an interpretation
R. Xu, J. O'Quigley
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Analysis of survival data from trials with non-proportional hazards: an empirical comparison of methods [PDF]
Trials, 2013 Royston P, Wei Y, Tierney J, Parmar M.
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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
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Stratified-extended cox model in survival modeling of non-proportional hazard [PDF]
IOP Conference Series: Earth and Environmental Science, 2019 AbstractCox proportional hazard model is frequently used in survival analysis. Cox proportional hazard model is time independent covariate while many models involve time as a dependent covariate causing incomplete proportional hazard assumption, known as non-proportional hazard.
Dewi Juliah Ratnaningsih +3 more
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Extensions of cox model for non-proportional hazards purpose [PDF]
Ekonometria, 2014 Cox proportional hazard model is one of the most common methods used in analysis of time to event data. The idea of the model is to define hazard level as a dependent variable which is being explained by the time-related component (so called baseline hazard) and covariates-related component.
J. Borucka
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Frontiers in Applied Mathematics and Statistics, 2023 Numerous methods and approaches have been developed for generating time-to-event data from the Cox Proportional Hazards (CPH) model; however, they often require specification of a parametric distribution for the baseline hazard even though the CPH model ...
Jennifer L. Delzeit, Devin C. Koestler
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CauchyCP: A powerful test under non-proportional hazards using Cauchy combination of change-point Cox regressions [PDF]
Statistical Methods in Medical Research, 2020 Non-proportional hazards data are routinely encountered in randomized clinical trials. In such cases, classic Cox proportional hazards model can suffer from severe power loss, with difficulty in interpretation of the estimated hazard ratio since the ...
Hong Zhang +3 more
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Statistical Considerations for Evaluating Treatment Effect under Various Non-proportional Hazard Scenarios [PDF]
Statistical Methods in Medical ResearchWe conducted a systematic comparison of statistical methods used for the analysis of time-to-event outcomes under various proportional and non-proportional hazard (NPH) scenarios. Our study used data from recently published oncology trials to compare the Log-rank test, still by far the most widely used option, against some available alternatives ...
Xinyu Zhang +3 more
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