Results 21 to 30 of about 335,095 (291)

A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards. [PDF]

Stat Med
Klinglmüller F, Fellinger T, König F, Friede T, Hooker AC, Heinzl H, Mittlböck M, Brugger J, Bardo M, Huber C, Benda N, Posch M, Ristl R.   +12 more
europepmc   +2 more sources

Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset. [PDF]

J Appl Stat
Survival data analysis often uses the Cox proportional hazards (PH) model. This model is widely applied due to its straightforward interpretation of the hazard ratio under the assumption that the hazard rates for two subjects remain constant over time.
Rosa KC, Calsavara VF, Louzada F.
europepmc   +3 more sources

Estimation of treatment effect under non‐proportional hazards and conditionally independent censoring [PDF]

Statistics in Medicine, 2012
In clinical trials with time‐to‐event outcomes, it is common to estimate the marginal hazard ratio from the proportional hazards model, even when the proportional hazards assumption is not valid. This is unavoidable from the perspective that the estimator must be specified a priori if probability statements about treatment effect estimates are desired.
Adam P. Boyd, John M. Kittelson, Daniel L. Gillen   +2 more
openalex   +4 more sources

Analysis techniques in the presence of non-proportional hazards (PH); application to an ovarian cancer RCT with long-term follow-up [PDF]

Trials, 2015
Morden J, Bliss J, Eeles R.
europepmc   +3 more sources

Detecting rare and weak deviations of non-proportional hazard in survival analysis

, 2023
Part of this work was presented at JSM ...
Ben Galili, Alon Kipnis, Zohar Yakhini
openalex   +4 more sources

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.
europepmc   +3 more sources

Overall survival with non-proportional hazards in first-line treatment for patients with metastatic colorectal cancer: Systematic review and network meta-analysis. [PDF]

Heliyon
Keshavarzi F, Salari N, Jambarsang S, Mohammad Tabatabaei S, Shahsavari S, Fournier AJ.   +5 more
europepmc   +2 more sources

Violations of proportional hazard assumption in Cox regression model of transcriptomic data in TCGA pan-cancer cohorts

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, Yanping Gao, Jiali Li, Gong Zhang, Shaoxing Sun, Qiuji Wu, Yan Gong, Conghua Xie   +7 more
doaj   +1 more source

Comparison of methods to testing for differential treatment effect under non-proportional hazards data

Mathematical Biosciences and Engineering, 2023
Many tests for comparing survival curves have been proposed over the last decades. There are two branches, one based on weighted log-rank statistics and other based on weighted Kaplan-Meier statistics.
María del Carmen Pardo, Beatriz Cobo
doaj   +1 more source

Simulating time-to-event data under the Cox proportional hazards model: assessing the performance of the non-parametric Flexible Hazards Method

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
doaj   +1 more source