Results 281 to 290 of about 617,984 (298)
Some of the next articles are maybe not open access.
Journal of the Royal Statistical Society: Series C (Applied Statistics), 2019
Two‐stage instrumental variable methods are commonly used for estimating average causal effects in the presence of an unmeasured confounder. In the context of the proportional hazard Cox regression models, this problem has recently received attention ...
P. Martínez-Camblor +4 more
semanticscholar +1 more source
Two‐stage instrumental variable methods are commonly used for estimating average causal effects in the presence of an unmeasured confounder. In the context of the proportional hazard Cox regression models, this problem has recently received attention ...
P. Martínez-Camblor +4 more
semanticscholar +1 more source
A relative survival regression model using B‐spline functions to model non‐proportional hazards
Statistics in Medicine, 2003AbstractRelative survival, a method for assessing prognostic factors for disease‐specific mortality in unselected populations, is frequently used in population‐based studies. However, most relative survival models assume that the effects of covariates on disease‐specific mortality conform with the proportional hazards hypothesis, which may not hold in ...
R. Giorgi +6 more
semanticscholar +4 more sources
Canadian Journal of Statistics, 2016
AbstractPrediction of a cause‐specific cumulative incidence function (CIF) for data containing competing risks is of primary interest to clinicians when making treatment decisions for patients given their prognostic characteristics. The Fine–Gray regression model is widely used to incorporate multiple prognostic factors, yet it is not applicable when ...
Liu, Qing +3 more
openaire +2 more sources
AbstractPrediction of a cause‐specific cumulative incidence function (CIF) for data containing competing risks is of primary interest to clinicians when making treatment decisions for patients given their prognostic characteristics. The Fine–Gray regression model is widely used to incorporate multiple prognostic factors, yet it is not applicable when ...
Liu, Qing +3 more
openaire +2 more sources
Ethnicity, education, and the non-proportional hazard of first marriage in Turkey
Population Studies, 2010This 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
Analysis of Multivariate Survival Times with Non-Proportional Hazards Models
1997In a clinical trial to evaluate treatments for a chronic disease, a commonly used regression method for analyzing multiple event times is based on a multivariate Cox model (Wei, Lin and Weissfeld, 1989). However, the Cox model may not fit the data well.
L. Chen, L. J. Wei
openaire +1 more source
Latent heterogeneity effects in modelling individual hazards: A non-proportional approach
Technological Forecasting and Social Change, 2016Abstract This paper proposes an extension of individual hazard modelling through diffusion of innovation methodologies with the introduction of latent neighbouring effects in individual hazards. The proposal combines the Bemmaor's methodology for latent heterogeneous factors in the Cox proportional hazards model.
openaire +1 more source