Image de couverture de livre

Counterfactual Q Learning via the Linear Buckley James Method for Longitudinal Survival Data

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Jeongjin, Kim, Jong-Min
Format:	Preprint
Publié:	2025
Sujets:	Methodology Computation
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Counterfactual Survival Q-learning via Buckley-James Boosting, with Applications to ACTG 175 and CALGB 8923
par: Lee, Jeongjin, et autres
Publié: (2025)

Transformed Linear Prediction for Extremes
par: Lee, Jeongjin, et autres
Publié: (2021)

Hypothesis testing for partial tail correlation in multivariate extremes
par: Kim, Mihyun, et autres
Publié: (2022)

Geometric criteria for identifying extremal dependence and flexible modeling via additive mixtures
par: Lee, Jeongjin, et autres
Publié: (2025)

Analysing Extreme Rainfall via a Geometric Framework
par: Campbell, Ryan, et autres
Publié: (2026)

pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors
par: Signorelli, Mirko
Publié: (2023)

Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
par: Rustand, Denis, et autres
Publié: (2024)

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
par: Wang, Jitao, et autres
Publié: (2025)

A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
par: Lee, Jong Hyeon, et autres
Publié: (2025)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
par: Bhuyan, Prajamitra, et autres
Publié: (2026)

Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
par: Yin, Xiaohui, et autres
Publié: (2026)

Penalized Quasi-likelihood for High-dimensional Longitudinal Data via Within-cluster Resampling
par: Ma, Yue, et autres
Publié: (2025)

Survival Data Simulation With the R Package rsurv
par: Demarqui, Fábio N.
Publié: (2024)

Dynamic Prediction of Joint Longitudinal-Survival Models Using a Similarity-Based Approach
par: Kim, Minzee, et autres
Publié: (2025)

X-Vine Models for Multivariate Extremes
par: Kiriliouk, Anna, et autres
Publié: (2023)

Longitudinal Data Clustering with a Copula Kernel Mixture Model
par: Zhang, Xi, et autres
Publié: (2023)

BEND: An R Package for the Bayesian Estimation of Nonlinear Longitudinal Data
par: Rohloff, Corissa T., et autres
Publié: (2026)

A Scalable Variational Bayes Approach for Fitting Non-Conjugate Spatial Generalized Linear Mixed Models via Basis Expansions
par: Lee, Jin Hyung, et autres
Publié: (2025)

SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
par: Bar, Haim, et autres
Publié: (2026)

Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
par: Baghfalaki, Taban, et autres
Publié: (2025)

Bayesian Transfer Learning for High-Dimensional Linear Regression via Adaptive Shrinkage
par: Jamshidian, Parsa, et autres
Publié: (2025)

Efficient Implementation of a Semiparametric Joint Model for Multivariate Longitudinal Biomarkers and Competing Risks Time-to-Event Data
par: Li, Shanpeng, et autres
Publié: (2025)

"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data"
par: Rappl, Anja, et autres
Publié: (2023)

Geometry Adaptive Counterfactual Distribution Learning with Diffusion-Guided Smoothing
par: Kim, Kwangho
Publié: (2026)

Adaptive Penalized Doubly Robust Regression for Longitudinal Data
par: Wang, Yuyao, et autres
Publié: (2026)

Counterfactual Mean-variance Optimization
par: Kim, Kwangho, et autres
Publié: (2022)

Semiparametric Counterfactual Regression
par: Kim, Kwangho
Publié: (2025)

Bayesian Profile Regression with Linear Mixed Models (Profile-LMM) applied to Longitudinal Exposome Data
par: Amestoy, Matteo, et autres
Publié: (2025)

A Random-Effects Approach to Generalized Linear Mixed Model Analysis of Incomplete Longitudinal Data
par: Nguyen, Thuan, et autres
Publié: (2024)

Efficient Log-Rank Updates for Random Survival Forests
par: Sverdrup, Erik, et autres
Publié: (2025)

Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
par: Cao, Zhiqiang, et autres
Publié: (2023)

Deep Partially Linear Transformation Model for Right-Censored Survival Data
par: Yin, Junkai, et autres
Publié: (2024)

hdbayes: An R Package for Bayesian Analysis of Generalized Linear Models Using Historical Data
par: Alt, Ethan M., et autres
Publié: (2025)

adjustedCurves: Estimating Confounder-Adjusted Survival Curves in R
par: Denz, Robin, et autres
Publié: (2024)

A Linear Relationship between Correlation and Cohen's Kappa for Binary Data and Simulating Multivariate Nominal and Ordinal Data with Specified Kappa Matrix
par: Sahu, Soumya, et autres
Publié: (2024)

Block Empirical Likelihood Inference for Longitudinal Generalized Partially Linear Single-Index Models
par: Zhang, Tianni, et autres
Publié: (2026)

Extrapolation of Relative Treatment Effects using Change-point Survival Models
par: Cooney, Philip, et autres
Publié: (2023)

Learning Optimal Dynamic Treatment Regimes from Longitudinal Data
par: Williams, Nicholas T., et autres
Publié: (2024)

LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation
par: McGrath, Sean, et autres
Publié: (2024)

Leveraging Two-Phase Data for Improved Prediction of Survival Outcomes with Application to Nasopharyngeal Cancer
par: Oh, Eun Jeong, et autres
Publié: (2025)