Cover Image

Semiparametric Regression for Misclassified Competing Risks Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Balanos, Theofanis, Yiannoutsos, Constantin T., Pabon-Rodriguez, Felix M., Nan, Hongmei, Bakoyannis, Giorgos
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robustness intervals for competing risks analysis with causes of failure missing not at random
by: Bakoyannis, Giorgos, et al.
Published: (2025)

A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)

Two-Stage Pseudo Maximum Likelihood Estimation of Semiparametric Copula-based Regression Models for Semi-Competing Risks Data
by: Arachchige, Sakie J., et al.
Published: (2023)

Regression for Left-Truncated and Right-Censored Data: A Semiparametric Sieve Likelihood Approach
by: Matthews, Spencer, et al.
Published: (2025)

Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment
by: Ruiqian Wu, et al.
Published: (2025)

Semiparametric Counterfactual Regression
by: Kim, Kwangho
Published: (2025)

Efficient Implementation of a Semiparametric Joint Model for Multivariate Longitudinal Biomarkers and Competing Risks Time-to-Event Data
by: Li, Shanpeng, et al.
Published: (2025)

Bias Correction for Semiparametric Regression Models
by: Zhang, Yuming, et al.
Published: (2026)

Semiparametric Regression Models for Explanatory Variables with Missing Data due to Detection Limit
by: Zhang, Jasen, et al.
Published: (2025)

Semiparametric Inference for Regression-Discontinuity Designs
by: Jiang, Weiwei, et al.
Published: (2024)

Focused Information Criteria for Semiparametric Linear Hazard Regression
by: Gandy, Axel, et al.
Published: (2026)

Online Semiparametric Regression via Sequential Monte Carlo
by: Menictas, Marianne, et al.
Published: (2023)

Linking Potentially Misclassified Healthy Food Access to Diabetes Prevalence
by: Mullan, Ashley E., et al.
Published: (2025)

Q-learning in Dynamic Treatment Regimes with Misclassified Binary Outcome
by: Liu, Dan, et al.
Published: (2024)

Representation Transfer Learning for Semiparametric Regression
by: He, Baihua, et al.
Published: (2024)

Fast Semiparametric Density Regression with Weight-localized Predictive Recursion
by: Lin, Jonathan, et al.
Published: (2026)

Variable Selection with Broken Adaptive Ridge Regression for Interval-Censored Competing Risks Data
by: Mahmoudi, Fatemeh, et al.
Published: (2025)

On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
by: Dukes, Oliver, et al.
Published: (2021)

Bayesian Semiparametric Multivariate Density Regression with Coordinate-Wise Predictor Selection
by: Toto, Giovanni, et al.
Published: (2026)

Variational Inference for Count Response Semiparametric Regression: A Convex Solution
by: Murru, Virginia, et al.
Published: (2025)

Discrete-time Competing-Risks Regression with or without Penalization
by: Meir, Tomer, et al.
Published: (2023)

Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)

Regression Analysis of Cure Rate Models with Competing Risks Subjected to Interval Censoring
by: K., Silpa, et al.
Published: (2024)

Integrating Misclassified EHR Outcomes with Validated Outcomes from a Non-probability Sample
by: Shen, Jenny, et al.
Published: (2025)

Robust Semiparametric Inference for Bayesian Additive Regression Trees
by: Breunig, Christoph, et al.
Published: (2025)

Estimation of Semiparametric Factor Models with Missing Data
by: Zheng, Sijie
Published: (2025)

Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects
by: Zhan, Tianyu, et al.
Published: (2025)

Semiparametric Elliptical Mixture Clustering for High-Dimensional Data
by: Feng, Long, et al.
Published: (2026)

A Semiparametric Approach for Robust and Efficient Learning with Biobank Data
by: Liu, Molei, et al.
Published: (2024)

Single-index Semiparametric Transformation Cure Models with Interval-censored Data
by: Huang, Xiaoru, et al.
Published: (2026)

Semiparametric Mixed-effects Model for Longitudinal Data with Non-normal Errors
by: Taavoni, Mozhgan, et al.
Published: (2022)

Semiparametric Spatial Point Processes
by: Lin, Xindi, et al.
Published: (2024)

Identification and Semiparametric Estimation of Conditional Means from Aggregate Data
by: McCartan, Cory, et al.
Published: (2025)

Semismooth Newton Augmented Lagrangian Algorithm for Adaptive Lasso Penalized Least Squares in Semiparametric Regression
by: Li, Peili, et al.
Published: (2021)

Semiparametric Efficient Fusion of Individual Data and Summary Statistics
by: Hu, Wenjie, et al.
Published: (2022)

Semiparametric analysis for paired comparisons with covariates
by: Song, Haoyue, et al.
Published: (2026)

Semiparametric Analysis of Interval-Censored Data Subject to Inaccurate Diagnoses with A Terminal Event
by: Deng, Yuhao, et al.
Published: (2026)

Semiparametric Inference for Partially Identifiable Data Fusion Estimands via Double Machine Learning
by: Jiang, Yicong, et al.
Published: (2025)

Semiparametric Triple Difference Estimators
by: Akbari, Sina, et al.
Published: (2025)

Semiparametric Learning from Open-Set Label Shift Data
by: Liu, Siyan, et al.
Published: (2025)