Cover Image

Model Selection for Causal Modeling in Missing Exposure Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Yuliang, Zhu, Yeying, Dubin, Joel A.
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causal Inference on Missing Exposure via Robust Estimation
by: Shi, Yuliang, et al.
Published: (2024)

A Personalized Predictive Model that Jointly Optimizes Discrimination and Calibration
by: Krikella, Tatiana, et al.
Published: (2024)

A General Mixture Loss Function to Optimize a Personalized Predictive Model
by: Krikella, Tatiana, et al.
Published: (2026)

On Flexible Inverse Probability of Treatment and Intensity Weighting: Informative Censoring, Variable Inclusion, and Weight Trimming
by: Tompkins, Grace, et al.
Published: (2024)

Robust inference for risk heterogeneity under group imbalance
by: Xu, Mengqi, et al.
Published: (2026)

Gender disparities in rehospitalisations after coronary artery bypass grafting: evidence from a sparse functional causal mediation analysis of the MIMIC-IV data
by: Xu, Henan, et al.
Published: (2024)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)

Inverse Probability Weighting of Count Exposures in the Presence of Missing Data: A Simulation Study
by: Danka, Martin N., et al.
Published: (2026)

Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)

Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)

Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials
by: Benz, Luke, et al.
Published: (2024)

Variational Bayesian Multiple Imputation in High-Dimensional Regression Models With Missing Responses
by: Li, Qiushuang, et al.
Published: (2025)

Bayesian Methods for Modeling Cumulative Exposure to Extensive Environmental Health Hazards
by: Trangucci, Rob, et al.
Published: (2024)

Group Identification and Variable Selection in Multivariable Mendelian Randomization with Highly-Correlated Exposures
by: Wu, Yinxiang, et al.
Published: (2025)

Bayesian Bootstrap based Gaussian Copula Model for Mixed Data with High Missing Rates
by: Kim, Seongmin, et al.
Published: (2025)

Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)

Causal Networks of Infodemiological Data: Modelling Dermatitis
by: Scutari, Marco, et al.
Published: (2025)

lmw: Linear Model Weights for Causal Inference
by: Chattopadhyay, Ambarish, et al.
Published: (2023)

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)

Robust Emax Model Fitting: Addressing Nonignorable Missing Binary Outcome in Dose-Response Analysis
by: Zhang, Jiangshan, et al.
Published: (2024)

Accounting for Missing Data in Public Health Research Using a Synthesis of Statistical and Mathematical Models
by: Zivich, Paul N, et al.
Published: (2025)

Modeling Missing at Random Neuropsychological Test Scores Using a Mixture of Binomial Product Experts
by: Suen, Daniel, et al.
Published: (2023)

An MCMC-Based Method for Dynamic Causal Modeling of Effective Connectivity in Functional MRI
by: Fales, Kaitlyn R., et al.
Published: (2026)

Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026)

A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
by: Tang, Dandan, et al.
Published: (2025)

A Unified Framework for Multiple Exposure Distributed Lag Non-Linear Models for Air Pollution Epidemiology
by: Pan, Tianyi, et al.
Published: (2026)

A tree-based kernel for densities and its applications in clustering DNase-seq profiles
by: Xu, Yuliang, et al.
Published: (2025)

Variable Selection in Functional Linear Cox Model
by: Yue, Yuanzhen, et al.
Published: (2025)

A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
by: Ho, Binh H., et al.
Published: (2025)

Formulating the Proxy Pattern-Mixture Model as a Selection Model to Assist with Sensitivity Analysis
by: Yiadom, Seth Adarkwah, et al.
Published: (2024)

A Unified Bayesian Framework for Mortality Model Selection
by: Diana, Alex, et al.
Published: (2024)

Changepoint Detection As Model Selection: A General Framework
by: Grantham, Michael, et al.
Published: (2026)

Analysis of Linked Files: A Missing Data Perspective
by: Kamat, Gauri, et al.
Published: (2024)

Establishing the Parallels and Differences Between Right-Censored and Missing Covariates
by: Vazquez, Jesus E., et al.
Published: (2024)

Optimal Stock Portfolio Selection with a Multivariate Hidden Markov Model
by: Majumder, Reetam, et al.
Published: (2024)

Model Selection for Maternal Hypertensive Disorders with Symmetric Hierarchical Dirichlet Processes
by: Franzolini, Beatrice, et al.
Published: (2022)

The Mixed-Sparse-Smooth-Model Toolbox (MSSM): Efficient Estimation and Selection of Large Multi-Level Statistical Models
by: Krause, Joshua, et al.
Published: (2025)

A Tutorial on Conducting Mediation Analysis with Exposure Mixtures
by: Wang, Yiran, et al.
Published: (2025)

Estimation of Contextual Exposure to HIV from GPS Data
by: Wu, Haoyang, et al.
Published: (2025)

Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching
by: Kim, Honghyok, et al.
Published: (2022)