Results 31 to 40 of about 328,188 (291)

Explained randomness in proportional hazards models [PDF]

open access: yesStatistics in Medicine, 2005
A coefficient of explained randomness, analogous to explained variation but for non-linear models, was presented by Kent. The construct hinges upon the notion of Kullback-Leibler information gain. Kent and O'Quigley developed these ideas, obtaining simple, multiple and partial coefficients for the situation of proportional hazards regression.
John, O'Quigley   +2 more
openaire   +2 more sources

Use of predicted vital status to improve survival analysis of multidrug-resistant tuberculosis cohorts

open access: yesBMC Medical Research Methodology, 2018
Background Multidrug-resistant tuberculosis (MDR-TB) cohorts often lack long-term survival data, and are summarized instead by initial treatment outcomes.
Meredith B. Brooks   +5 more
doaj   +1 more source

Bidirectional association between knee osteoarthritis and depressive symptoms: evidence from a nationwide population-based cohort

open access: yesBMC Musculoskeletal Disorders, 2022
Background Both knee osteoarthritis (KOA) and depressive symptoms (DS) are major public health issues affecting the quality of life. This study aimed to examine the association between KOA and DS.
Han Lu   +7 more
doaj   +1 more source

Diffusion of Common Application Membership and Admissions Outcomes at American Colleges and Universities [PDF]

open access: yes, 2007
We study the adoption of Common Application membership by private four-year postsecondary institutions and its role in explaining the growth in undergraduate applications.
Ehrenberg, Ronald G.   +2 more
core   +4 more sources

Interval-Censored Regression with Non-Proportional Hazards with Applications

open access: yesStats, 2023
Proportional hazards models and, in some situations, accelerated failure time models, are not suitable for analyzing data when the failure ratio between two individuals is not constant. We present a Weibull accelerated failure time model with covariables
Fábio Prataviera   +4 more
doaj   +1 more source

Robust Inference for Univariate Proportional Hazards Frailty Regression Models

open access: yes, 2004
We consider a class of semiparametric regression models which are one-parameter extensions of the Cox [J. Roy. Statist. Soc. Ser. B 34 (1972) 187-220] model for right-censored univariate failure times.
Fine, Jason P.   +2 more
core   +2 more sources

Age- and time-varying proportional hazards models for employment discrimination

open access: yes, 2010
We use a discrete-time proportional hazards model of time to involuntary employment termination. This model enables us to examine both the continuous effect of the age of an employee and whether that effect has varied over time, generalizing earlier work
Kadane, Joseph, Woodworth, George
core   +1 more source

Oral diabetes medication monotherapy and short-term mortality in individuals with type 2 diabetes and coronary artery disease [PDF]

open access: yes, 2018
Objective To determine whether sulfonylurea use, compared with non-sulfonylurea oral diabetes medication use, was associated with 2-year mortality in individuals with well-controlled diabetes and coronary artery disease (CAD). Research design and methods
Berkowitz, Seth A   +7 more
core   +3 more sources

Tree-augmented Cox proportional hazards models [PDF]

open access: yesBiostatistics, 2005
We study a hybrid model that combines Cox proportional hazards regression with tree-structured modeling. The main idea is to use step functions, provided by a tree structure, to 'augment' Cox (1972) proportional hazards models. The proposed model not only provides a natural assessment of the adequacy of the Cox proportional hazards model but also ...
Su, Xiaogang, Tsai, Chih Ling
openaire   +4 more sources

Regression Models for Lifetime Data: An Overview

open access: yesStats, 2022
Two methods dominate the regression analysis of time-to-event data: the accelerated failure time model and the proportional hazards model. Broadly speaking, these predominate in reliability modelling and biomedical applications, respectively.
Chrys Caroni
doaj   +1 more source

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