Results 1 to 10 of about 331,748 (244)
Data Reduction in Proportional Hazards Models Applied to Reliability Prediction of Centrifugal Pumps
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
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Estimating panel data duration models with censored data [PDF]
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]
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
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
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
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
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Out of order: specification check sequencing in Cox models
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
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Analysing wage differences between the USA and Germany using proportional hazards models [PDF]
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
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
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

