Time-varying coefficients in a multivariate frailty model: application to breast cancer recurrences of several types and death
DOI10.1007/s10985-015-9327-yzbMath1356.62215OpenAlexW786682533WikidataQ40973188 ScholiaQ40973188MaRDI QIDQ291261
Yassin Mazroui, Audrey Mauguen, Virginie Rondeau, Gaetan MacGrogan, Simone Mathoulin-Pélissier, Véronique Brouste
Publication date: 7 June 2016
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10985-015-9327-y
Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
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- Varying-coefficient model for the occurrence rate function of recurrent events
- Estimating treatment effects on the marginal recurrent event mean in the presence of a terminating event
- Regression analysis of multivariate recurrent event data with a dependent terminal event
- Local likelihood and local partial likelihood in hazard regression
- Standardized martingale residuals applied to grouped left truncated observations of dementia cases
- Marginal means/rates models for multiple type recurrent event data
- A semiparametric additive rate model for recurrent events with an informative terminal event
- Joint frailty models for recurring events and death using maximum penalized likelihood estimation: application on cancer events
- Some Asymptotic Results on Generalized Penalized Spline Smoothing
- Semiparametric Transformation Models with Random Effects for Joint Analysis of Recurrent and Terminal Events
- Evolution of Recurrent Asthma Event Rate Over Time in Frailty Models
- Shared Frailty Models for Recurrent Events and a Terminal Event
- Nonparametric regression using local kernel estimating equations for correlated failure time data
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
- Efficient Estimation of Fixed and Time‐varying Covariate Effects in Multiplicative Intensity Models
- Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
- Analyzing Recurrent Event Data With Informative Censoring
- Semiparametric Regression for the Mean and Rate Functions of Recurrent Events
- Marginal Regression Models for Multivariate Failure Time Data
- Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data
- Nonparametric Analysis of Recurrent Events and Death
- Semiparametric Analysis of Correlated Recurrent and Terminal Events
- A Joint Frailty Model for Survival and Gap Times Between Recurrent Events
- A practical guide to splines.
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