New parameterisations for proportional hazards modelling
Robust frailty modelling using non-proportional hazards models
... The leading term on the right hand side of (2) is Cox’s constant of proportionality (the RR in a PH model) and thus in the GTDL model this constant is moderated by ψ( ·), a function of both time and covariates, ...
25
Adaptive-LASSO for Cox's proportional hazards model
... Cox’s proportional hazards model, and propose a unified model selection and estimation procedure with desired theoretical properties and computational ...The new method is based on a penalized log ...
23
Density Regression Based on Proportional Hazards Family
... Like GLM, the effect of covariates x on Y could be set up by modelling parameter θ as a function of x. In this paper we model log(θ) as a linear regression function of covariates x, that is, log(θ(x)) = x T β, (2) ...
13
Concordance Probability and Discriminatory Power in Proportional Hazards Regression
... 1275 York Avenue Box 44 New York, NY 10021 Summary. The concordance probability is used to evaluate the discriminatory power and the predictive accuracy of nonlinear statistical models. We derive an analytic ...
15
Testing for Proportional Hazards with Unrestricted Univariate Unobserved Heterogeneity
... for proportional haz- ards in the presence of individual level unobserved heterogeneity with com- pletely unrestricted and unknown ...The proportional hazards assumption, routinely made in empirical ...
46
Application Of The Empirical Likelihood Method In Proportional Hazards Model
... NOTE: To compute ˆ F n , we need to estimate parameter β in (105). There are three ways to do it. One is ˆ β from usual estimator by Newton-Raphson method for the Cox model described in Section 4.2. By our likelihood ...
81
Comparison of proportional hazards and accelerated failure time models
... Cox proportional hazards (PH) model is now the most widely used for the analysis of survival data in the presence of covariates or prognostic ...several new extensions to the original ...
89
Estimating proportional hazards model using frequentist and bayesian approaches
... Proportional hazards model can be modelled from classical perspective by obtaining the partial likelihood approach in estimating the unknown ...the new numerical algorithms which allow obtaining ...
10
PSHREG: A SAS macro for proportional and nonproportional subdistribution hazards regression
... We present a new SAS macro %pshreg that can be used to fit a proportional subdistribution hazards model for survival data subject to competing risks. Our macro first modifies the input data set ...
16
On the proportional hazards model for occupational and environmental case-control analyses
... joint modelling between the WC model and the time- dependent covariate process could also be investigated as an alternative, especially for internal time-dependent ex- posure variables ...
13
A proportional hazards model for time-to-event data with epidemiological bias
... a new approach by transforming the epidemiological bias prob- lem to a nonparametric bivariate survival analysis modelling with the presences of both censoring and truncation and proposed new ...
31
Modelling of an Electrohydraulic Proportional Valve with a Synchronous Motor
... applications. Proportional valves respond acceptably to the requirements stated in most industrial cases and are much cheaper than ...drives. Proportional valves are activated by solenoids and can provide a ...
6
Estimation of Cox Proportional Hazards Models via Approximated Information Criteria
... The MIC method A new method, named MIC for “Minimizing approximated Information Criteria", is developed to conduct sparse estimation of Cox PH models. MIC borrows strength from both BSS and regularization. The ...
10
Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent
... We have examples where the last few λ values account for more than 99% of the algorithm’s runtime. We argue that it is acceptable to ignore solutions with λ near 0, as any reasonable model selection criteria (commonly ...
13
Survival Analysis And The Application Of Cox's Proportional Hazards Modeling Using SAS
... The History of Survival Analysis The origin of survival analysis goes back to mortality tables from centuries ago. However, it was not until World War II that a new era of survival analysis emerged. This ...
9
Semiparametric estimation of a panel data proportional hazards model with fixed effects
... a proportional hazards spec- ification with fixed ...the proportional hazards model with dependent right censoring, under which the partial likelihood estimator is ...
51
Marginal structural Cox proportional hazards model for data with measurement errors
... a new approach which will allow us to estimate the causal effect of treatment on the survival with possibly misclassified ...a new approach in causal inference which is particularly useful when the ...
53
Semiparametric hierarchical proportional hazards models with applications to animal health data
... The higher CM hazard observed during the early lactating period in the current study is very similar to observations made in previous studies conducted in Canada (Olde Riekerink et al., 2008), the USA (Pinedo et al., ...
240
A multi-stage stochastic programming for condition-based maintenance with proportional hazards model
... 35 6-Conclusion and future research In this paper, a non-linear multi-stage stochastic programming was applied to model CBM of a system for a finite planning horizon in which the state of the system or covariate value ...
21
Sparse Estimation of Cox Proportional Hazards Models via Approximated Information Criteria
... protime 0.234 0.107 0.229 0.102 0.0283 0.229 0.102 stage 0.388 0.150 0.369 0.124 0.0124 0.370 0.124 5. Discussion MIC offers a new perspective for conducting sparse estimation by approximating a model ...
9