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Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps

open access: yesMachines
This paper presents the use of proportional hazards regression models for predicting the Mean Time Between Failures (MTBF) of centrifugal pumps in the oil and gas industry.
Marc Vila Forteza   +3 more
doaj   +1 more source

Estimating panel data duration models with censored data [PDF]

open access: yes, 2005
This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty ...
Lee, S.
core  

A nested cohort study of 6,248 early breast cancer patients treated in neoadjuvant and adjuvant chemotherapy trials investigating the prognostic value of chemotherapy-related toxicities. [PDF]

open access: yes, 2015
BACKGROUND: The relationship between chemotherapy-related toxicities and prognosis is unclear. Previous studies have examined the association of myelosuppression parameters or neuropathy with survival and reported conflicting results.

core   +2 more sources

Linking period and cohort life-expectancy linear increases in Gompertz proportional hazards models

open access: yesDemographic Research, 2011
In a Gompertz mortality model with constant yearly improvements at all ages, linear increases in period life expectancy correspond to linear increases in the respective cohort life expectancy.
Trifon I. Missov, Adam Lenart
doaj  

Application of Fractional Polynomial Model for Determining Prognostic Factors Associated with Survival of Patients with Gastric Cancer

open access: yesمجله اپیدمیولوژی ایران, 2013
Background & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters.
H Noorkojuri   +3 more
doaj  

Are non-constant rates and non-proportional treatment effects accounted for in the design and analysis of randomised controlled trials? A review of current practice

open access: yesBMC Medical Research Methodology, 2019
Background Most clinical trials with time-to-event primary outcomes are designed assuming constant event rates and proportional hazards over time. Non-constant event rates and non-proportional hazards are seen increasingly frequently in trials.
Kim Jachno   +2 more
doaj   +1 more source

Out of order: specification check sequencing in Cox models

open access: yesPolitical Science Research and Methods
The Cox duration model serves as the basis for more complex duration models like competing risks, repeated events, and multistate models. These models make a number of assumptions, many of which can be assessed empirically, sometimes for substantive ends.
Benjamin T. Jones, Shawna K. Metzger
doaj   +1 more source

Analysing wage differences between the USA and Germany using proportional hazards models [PDF]

open access: yes
We analyse differences between the wage distributions in the USA and Germany in 2001 both for women and men. The empirical analysis is based on the decomposition of differences using Cox's marginal (partial) likelihood.
Behr, Andreas, Pötter, Ulrich
core  

A transformer model for cause-specific hazard prediction

open access: yesBMC Bioinformatics
Backgroud Modelling discrete-time cause-specific hazards in the presence of competing events and non-proportional hazards is a challenging task in many domains.
Matthieu Oliver   +4 more
doaj   +1 more source

Cox Regression in Survival Analysis: Practical Insights for Clinicians

open access: yesActa Médica Portuguesa
Survival analysis is a fundamental tool in clinical research for evaluating time-to-event outcomes. While the Kaplan-Meier method remains a widely used univariable approach for estimating survival probabilities and comparing groups, it does not account ...
António Gomes   +3 more
doaj   +1 more source

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