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A hybrid repair-replacement policy in the proportional hazards model

European Journal of Operational Research, 2022
Rui Zheng, Jingjing Wang, Yingzhi Zhang
semanticscholar   +1 more source

Proportional hazards model with random effects

Statistics in Medicine, 2000
We propose a general proportional hazards model with random effects for handling clustered survival data. This generalizes the usual frailty model by allowing a multivariate random effect with arbitrary design matrix in the log relative risk, in a way similar to the modelling of random effects in linear, generalized linear and non-linear mixed models ...
Florin Vaida, Ronghui Xu
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Conditional Proportional Hazards Models

1996
Bivariate survival models can sometimes be characterized in terms of conditional survival functions of the form P(X > x|Y > y) and P(Y > y|X > x). Attention is focussed on models in which these conditional survival functions are of the proportional hazards form.
Barry C. Arnold, Yong Hee Kim
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Visualizing covariates in proportional hazards model

Statistics in Medicine, 2009
AbstractWe present a graphical method called the rank‐hazard plot that visualizes the relative importance of covariates in a proportional hazards model. The key idea is to rank the covariate values and plot the relative hazard as a function of ranks scaled to interval [0, 1].
Juha Karvanen, Frank E. Harrell
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A latent trait model for response times on tests employing the proportional hazards model.

British Journal of Mathematical & Statistical Psychology, 2012
For computer-administered tests, response times can be recorded conjointly with the corresponding responses. This broadens the scope of potential modelling approaches because response times can be analysed in addition to analysing the responses ...
Jochen Ranger, T. Ortner
semanticscholar   +1 more source

The Inverse Proportional Hazards Model

Statistics & Probability Letters, 1991
Abstract An alternative to the Proportional Hazards Model (PHM) called the Inverse Proportional Hazards Model (IPHM) is proposed for the regression modelling of censored data and it is shown that it shares the desirable properties of PHM such as • easy estimation, • no model for the underlying hazard is required, • easy incorporation of ...
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Multivariate generalizations of the proportional hazards model

, 1985
A new approach to the analysis of bivariate survival data is presented. It involves the development of "a model for bivariate life-tables...with a single association parameter which is unaffected by monotone transformation of the marginal distributions ...
D. Clayton, J. Cuzick
semanticscholar   +1 more source

Optimal Replacement in the Proportional Hazards Model With Semi-Markovian Covariate Process and Continuous Monitoring

IEEE Transactions on Reliability, 2011
Motivated by the increasing use of condition monitoring technology for electrical transformers, this paper deals with the optimal replacement of a system having a hazard function that follows the proportional hazards model with a semi-Markovian covariate
Xiang Wu, S. Ryan
semanticscholar   +1 more source

Sample-size formula for the proportional-hazards regression model.

Biometrics, 1983
A formula is derived for determining the number of observations necessary to test the equality of two survival distributions when concomitant information is incorporated.
D. Schoenfeld
semanticscholar   +1 more source

Regression Dilution in the Proportional Hazards Model

Biometrics, 1993
The problem of regression dilution arising from covariate measurement error is investigated for survival data using the proportional hazards model. The naive approach to parameter estimation is considered whereby observed covariate values are used, inappropriately, in the usual analysis instead of the underlying covariate values. A relationship between
openaire   +3 more sources

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