Variable selection in the joint frailty model of recurrent and terminal events using Broken Adaptive Ridge regression
Fuente:
arXiv
Saved in:
| Main Authors: | Chan, Christian, Mahmoudi, Fatemeh, Lee, Chel Hee, Long, Quan, Lu, Xuewen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
by: Mahmoudi, Fatemeh, et al.
Published: (2025)
by: Mahmoudi, Fatemeh, et al.
Published: (2025)
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)
by: Strömer, Annika, et al.
Published: (2024)
Surviving the frailty of time to event analysis in massive datasets with Generalized Additive Models (and the help of Simon Laplace)
by: Argyropoulos, Christos, et al.
Published: (2025)
by: Argyropoulos, Christos, et al.
Published: (2025)
Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023)
by: Chasiotis, Vasilis, et al.
Published: (2023)
Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
by: Bian, Yuan, et al.
Published: (2026)
by: Bian, Yuan, et al.
Published: (2026)
Causal effects on non-terminal event time with application to antibiotic usage and future resistance
by: Zehavi, Tamir, et al.
Published: (2025)
by: Zehavi, Tamir, et al.
Published: (2025)
Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)
by: Saha, Satabdi, et al.
Published: (2024)
Ridge, lasso, and elastic-net estimations of the modified Poisson and least-squares regressions for binary outcome data
by: Kitano, Takahiro, et al.
Published: (2024)
by: Kitano, Takahiro, et al.
Published: (2024)
Novel g-computation algorithms for time-varying actions with recurrent and semi-competing events
by: D'Alessio, Alena Sorensen, et al.
Published: (2026)
by: D'Alessio, Alena Sorensen, et al.
Published: (2026)
Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)
by: Lacroix, Perrine, et al.
Published: (2021)
Bayesian semiparametric modelling of biomarker variability in joint models
by: Chen, Sida, et al.
Published: (2025)
by: Chen, Sida, et al.
Published: (2025)
Density regression via Dirichlet process mixtures of normal structured additive regression models
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
by: Rodríguez-Álvarez, María Xosé, et al.
Published: (2024)
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)
by: Miah, Kaya, et al.
Published: (2024)
Logistic regression models: practical induced prior specification
by: Newman, Ken B., et al.
Published: (2025)
by: Newman, Ken B., et al.
Published: (2025)
Marginally interpretable spatial logistic regression with bridge processes
by: Lee, Changwoo J., et al.
Published: (2024)
by: Lee, Changwoo J., et al.
Published: (2024)
A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
by: Molina, Katy C., et al.
Published: (2025)
by: Molina, Katy C., et al.
Published: (2025)
Robust inference for linear regression models with possibly skewed error distribution
by: Nandy, Amarnath, et al.
Published: (2024)
by: Nandy, Amarnath, et al.
Published: (2024)
Functional structural equation modeling with latent variables
by: Asgari, Fatemeh, et al.
Published: (2024)
by: Asgari, Fatemeh, et al.
Published: (2024)
Gaussian mixture copulas for flexible dependence modelling in the body and tails of joint distributions
by: André, Lídia M., et al.
Published: (2025)
by: André, Lídia M., et al.
Published: (2025)
Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)
by: Ji, Feng, et al.
Published: (2024)
A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
Robust Bayesian hierarchical models for basket trials enabling joint evaluation of toxicity and efficacy
by: Cao, Zhi, et al.
Published: (2025)
by: Cao, Zhi, et al.
Published: (2025)
Comparing estimators of discriminative performance of time-to-event models
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
A marginalized three-part interrupted time series regression model for proportional data
by: Ye, Shangyuan, et al.
Published: (2022)
by: Ye, Shangyuan, et al.
Published: (2022)
Spatio-temporal modeling for record-breaking temperature events in Spain
by: Castillo-Mateo, Jorge, et al.
Published: (2024)
by: Castillo-Mateo, Jorge, et al.
Published: (2024)
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)
by: Wieditz, Johannes, et al.
Published: (2023)
Tractable Ridge Regression for Paired Comparisons
by: Varin, Cristiano, et al.
Published: (2024)
by: Varin, Cristiano, et al.
Published: (2024)
Non-crossing convex quantile regression
by: Dai, Sheng, et al.
Published: (2022)
by: Dai, Sheng, et al.
Published: (2022)
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)
by: Bhandari, Saurabh, et al.
Published: (2025)
A comparison between copula-based, mixed model, and estimating equation methods for regression of bivariate correlated data
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
by: Sareff-Hibbert, Aydin, et al.
Published: (2024)
Quantile regression with generalized multiquadric loss function
by: Gao, Wenwu, et al.
Published: (2025)
by: Gao, Wenwu, et al.
Published: (2025)
Bayesian nonparametric mean residual life regression
by: Poynor, Valerie, et al.
Published: (2014)
by: Poynor, Valerie, et al.
Published: (2014)
BLOG: Bayesian Longitudinal Omics with Group Constraints
by: Popa, Livia, et al.
Published: (2025)
by: Popa, Livia, et al.
Published: (2025)
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
Monitoring time to event in registry data using CUSUMs based on relative survival models
by: Tran, Jimmy Huy, et al.
Published: (2024)
by: Tran, Jimmy Huy, et al.
Published: (2024)
Estimating treatment effects with competing intercurrent events in randomized controlled trials
by: Lu, Sizhu, et al.
Published: (2025)
by: Lu, Sizhu, et al.
Published: (2025)
While-alive regression analysis of composite survival endpoints
by: Fang, Xi, et al.
Published: (2025)
by: Fang, Xi, et al.
Published: (2025)
Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
by: Castel, Charlotte, et al.
Published: (2024)
by: Castel, Charlotte, et al.
Published: (2024)
A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)
by: Du, Jiacong, et al.
Published: (2024)
Functional and variables selection in extreme value models for regional flood frequency analysis
by: Gardini, Aldo
Published: (2023)
by: Gardini, Aldo
Published: (2023)
Similar Items
-
Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
by: Mahmoudi, Fatemeh, et al.
Published: (2025) -
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024) -
Surviving the frailty of time to event analysis in massive datasets with Generalized Additive Models (and the help of Simon Laplace)
by: Argyropoulos, Christos, et al.
Published: (2025) -
Subdata selection for big data regression: an improved approach
by: Chasiotis, Vasilis, et al.
Published: (2023) -
Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
by: Bian, Yuan, et al.
Published: (2026)