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Time varying covariates

Time varying covariates and coefficients in Cox regression models

Time varying covariates and coefficients in Cox regression models

... a time-dependent Cox model and time-varying coefficient was described using a step function and a continuous ...with time-varying covariates or coefficients, but other approaches ...

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Approaches for Handling Time-Varying Covariates in Survival Models

Approaches for Handling Time-Varying Covariates in Survival Models

... with time varying effects of both baseline and time-updated ...handling time varying covariates and time-varying effects in time to event models will be ...

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Multi period credit default prediction with time varying covariates

Multi period credit default prediction with time varying covariates

... Let us first introduce the basic notation. We observe obligor i, i = 1, . . . , N , for T i periods thereby recording his default history and a vector of time-varying covariates x it . Thus, we ...

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Multi-period credit default prediction with time-varying covariates

Multi-period credit default prediction with time-varying covariates

... Let us first introduce the basic notation. We observe obligor i, i = 1, . . . , N , for T i periods thereby recording his default history and a vector of time-varying covariates x it . Thus, we ...

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First Birth Interval: Cox Regression Model with Time Varying Covariates

First Birth Interval: Cox Regression Model with Time Varying Covariates

... for time to event data have been based on the Cox regression model, which assumes that the underlying hazard function for any two levels of some covariates is proportional over the ...with time, then ...

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Inclusion of time-varying covariates in cure survival models with an application in fertility studies

Inclusion of time-varying covariates in cure survival models with an application in fertility studies

... ical) covariates are exactly known leading to a piecewise constant time-varying covariate ...constant) time-varying covariates di- rectly as regressors in the probability model ...

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Modeling Sample Selection for Durations with Time-Varying Covariates, With an Application to the Duration of Exchange Rate Regimes

Modeling Sample Selection for Durations with Time-Varying Covariates, With an Application to the Duration of Exchange Rate Regimes

... In this paper we discuss the problem of extending existing estimators for duration models that al- low for non-random selection to cases with time-varying covariates. This extension is not straight- ...

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Macro-economic factors in credit risk calculations: including time-varying covariates in mixture cure models

Macro-economic factors in credit risk calculations: including time-varying covariates in mixture cure models

... failure time survival models, other authors ex- tended the idea of Narain (1992), using a Cox proportional hazards (PH) model (see Banasik et ...through time-varying covariates (TVCs) in Cox ...

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Comparison of GEE Estimation Methods for Repeated Binary Data with Time-Varying Covariates on Different Missing Mechanisms

Comparison of GEE Estimation Methods for Repeated Binary Data with Time-Varying Covariates on Different Missing Mechanisms

... for time-invariant and time-varying covariates (Autoregressive) 자료의 상관행렬이 자기상관(AR(1)) 구조일 때보다 교환가능한(exchangeable) 구조일 때, 그리고 동일 한 상관행렬 내에서는 ρ값이 증가할수록 시간-종속적 공변량과 시간-독립적 공변량 간에 차이가 더 뚜 렷하게 나타나는 ...

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Guidelines for generating right-censored outcomes from a cox model extended to accommodate time-varying covariates

Guidelines for generating right-censored outcomes from a cox model extended to accommodate time-varying covariates

... utilized varying degrees of auxiliary data by simulating data under conditions that varied the percentage missing, the reasons for missingness, and the strength and availability of auxil- iary ...of ...

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A latent spatial piecewise exponential model for interval-censored disease surveillance data with time-varying covariates and misclassification

A latent spatial piecewise exponential model for interval-censored disease surveillance data with time-varying covariates and misclassification

... 5. CONCLUSIONS AND FUTURE WORK We have proposed a latent spatial piecewise exponen- tial model to study interval-censored disease surveillance data with time-varying covariates and misclassification. ...

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Improving the Computational Efficiency in Bayesian Fitting of Cormack-Jolly-Seber Models with Individual, Continuous, Time-Varying Covariates

Improving the Computational Efficiency in Bayesian Fitting of Cormack-Jolly-Seber Models with Individual, Continuous, Time-Varying Covariates

... of time, or both, particularly in the presence of individual, time-varying, continuous ...continuous covariates on capture probabilities, as the covariate value from the previous capture ...

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A Shared Frailty Competing Risk Model With Time Varying Covariates For Estimation Of Breast And Ovarian Cancer Risks In BRCA1/2 Families

A Shared Frailty Competing Risk Model With Time Varying Covariates For Estimation Of Breast And Ovarian Cancer Risks In BRCA1/2 Families

... with time varying covariates for data arising from family ...with time-varying ...with time varying binary ...incorporate time dependent con- tinuous or categorical ...

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Efficient design and modeling strategies for follow-up studies with time-varying covariates

Efficient design and modeling strategies for follow-up studies with time-varying covariates

... 4.1 Optimal subcohort selection Article I considers the selection of individuals for a re-measurement of a single time- varying covariate when only a subset of the cohort can be selected due to budget ...

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Cox Regression Models with Time-Varying Covariates Applied to Survival Success of

Young Firms (*)

Cox Regression Models with Time-Varying Covariates Applied to Survival Success of Young Firms (*)

... a time-dependent variable showing the interaction between the predictor variable as parametric function of ...survival time of the firms and the time dependence of these factors using Cox regression ...

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Simulation of left-truncated and case-k interval censored survival data with time-varying covariates

Simulation of left-truncated and case-k interval censored survival data with time-varying covariates

... some time point later, ...event time is unknown except that it falls within an interval of (t l , t r ) where t ∈ (t l , t r ) and t l ≤ t r with probability of ...

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Guidelines for Generating Right-Censored Outcomes from a Cox Model Extended to Accommodate Time-Varying Covariates

Guidelines for Generating Right-Censored Outcomes from a Cox Model Extended to Accommodate Time-Varying Covariates

... survival time is ...survival time of 35, the standardized bias was high when survival times were generated between 20 and 50, but no meaningful bias was found if the range was expanded to 20-150 or 20- ...

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Exploring the Estimability of Mark-Recapture Models with Individual, Time-Varying Covariates using the Scaled Logit Link Function

Exploring the Estimability of Mark-Recapture Models with Individual, Time-Varying Covariates using the Scaled Logit Link Function

... unknown covariates because transitions starting from 0 are deleted and transitions starting from 1 also contain the missing ...more time-consuming because unknown covariates are ...be time- ...

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Time varying (or time-dependent) covariates

Time varying (or time-dependent) covariates

... WITH TIME-VARYING COVARIATES 17 9.4 Partial likelihood with time-varying covariates Starting out just as before, relying on non-informative censoring Suppose there are K distinct ...

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A Simulation Study on Comparing General Class of Semiparametric Transformation Models for Survival Outcome with Time Varying Coefficients and Covariates

A Simulation Study on Comparing General Class of Semiparametric Transformation Models for Survival Outcome with Time Varying Coefficients and Covariates

... possibly time-varying covariates and time-varying coefficients was evaluated in some special cases of semiparame- tric transformation ...the time-varying covariate in the ...

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