Results 251 to 260 of about 10,758,008 (293)

Reduced-rank hazard regression for modelling non-proportional hazards

Statistics in Medicine, 2006
The Cox proportional hazards model is the most common method to analyse survival data. However, the proportional hazards assumption might not hold. The natural extension of the Cox model is to introduce time-varying effects of the covariates. For some covariates such as (surgical)treatment non-proportionality could be expected beforehand.
Perperoglou, Aris   +2 more
openaire   +3 more sources

Critical review of oncology clinical trial design under non-proportional hazards

Critical Reviews in Oncology/Hematology, 2021
In trials of novel immuno-oncology drugs, the proportional hazards (PH) assumption often does not hold for the primary time-to-event (TTE) efficacy endpoint, likely due to the unique mechanism of action of these drugs. In practice, when it is anticipated that PH may not hold for the TTE endpoint with respect to treatment, the sample size is often still
Michael LaValley, Alessandro Previtali
exaly   +3 more sources

Sequential tests for non-proportional hazards data

Lifetime Data Analysis, 2016
In clinical trials survival endpoints are usually compared using the log-rank test. Sequential methods for the log-rank test and the Cox proportional hazards model are largely reported in the statistical literature. When the proportional hazards assumption is violated the hazard ratio is ill-defined and the power of the log-rank test depends on the ...
Brückner, Matthias, Brannath, Werner
openaire   +2 more sources

Non-proportional hazards models

2021
The most general model, described in Chapter 4 covers a very broad spread of possibilities and, in this chapter, we consider some special cases.
openaire   +1 more source

Ethnicity, education, and the non-proportional hazard of first marriage in Turkey

Population Studies, 2010
This study uses the 1998 Turkish Demographic and Health Survey to estimate non-proportional piecewise-constant hazards for first marriage among women in Turkey by education and ethnicity, with controls for region of residence and rural-urban migration.
DeAnna L, Gore, Elwood, Carlson
openaire   +2 more sources

Why use methods that require proportional hazards?

open access: yesAmerican Journal of Epidemiology
We recently questioned the utility of testing for proportional hazards in survival analysis. Here, we expand on why the proportional hazards assumption is both implausible and unnecessary in most medical studies, particularly in randomized trials.
Mats J Stensrud
exaly   +2 more sources

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