Cover Image

Instrumental Variable Model Average With Applications in Nonlinear Causal Inference

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Dong Chen, Yuquan Wang, Dapeng Shi, Yunlong Cao, Yue‐Qing Hu
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	Statistics in Medicine
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Minhao Yao, et al.
Published: (2026)

Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies
by: Yu‐Han Chiu, et al.
Published: (2025)

Inference About Separable Causal Effects With Longitudinal Bivariate Ordinal Responses With Missingness and Censoring
by: Pingbo Hu, et al.
Published: (2026)

A Bayesian Approach to Estimate Causal Average Treatment Effects Under Unmeasured Confounding
by: Jinghong Zeng
Published: (2026)

Causal Inference With Outcomes Truncated by Death and Missing Not at Random
by: Wei Li, et al.
Published: (2025)

Collaborative Inference for Accelerated Failure Time Model Using Clinical Center‐Level Summary Statistics
by: Mengtong Hu, et al.
Published: (2025)

Adaptive Sparsening and Smoothing of the Treatment Model for Longitudinal Causal Inference Using Outcome‐Adaptive LASSO and Marginal Fused LASSO
by: Mireille E. Schnitzer, et al.
Published: (2026)

A Bayesian Causal Model for Matrix‐Valued Exposures With Applications to Radiotherapy Planning
by: Zijin Liu, et al.
Published: (2026)

Supervised Functional Principal Component Analysis Under the Mixture Cure Rate Model: An Application to Alzheimer'S Disease
by: Jiahui Feng, et al.
Published: (2025)

Mediation Analysis With Bayesian Nonlinear Joint Models: Evaluation of the Treatment Causal Pathways Between Tumor Growth Kinetics and Overall Survival
by: Georgios Kazantzidis, et al.
Published: (2026)

A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data
by: Johannes Wieditz, et al.
Published: (2024)

Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome
by: Xinxin Sun, et al.
Published: (2024)

Modern Causal Inference Approaches to Improve Power for Subgroup Analysis in Randomized Controlled Trials
by: Antonio D'Alessandro, et al.
Published: (2026)

Bayesian Model Averaging in Causal Instrumental Variable Models
by: Steiner, Gregor, et al.
Published: (2025)

Structure Identification, Estimation and Variable Selection for Varying Coefficient EV Models With Longitudinal Data
by: Mingtao Zhao, et al.
Published: (2026)

Overcoming Model Uncertainty — How Equivalence Tests Can Benefit From Model Averaging
by: Niklas Hagemann, et al.
Published: (2025)

Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis
by: Xialing Wen, et al.
Published: (2025)

Bayesian Variable Selection for High‐Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
by: Youngho Bae, et al.
Published: (2026)

Causal Inference for First Non‐Fatal Events With the Competing Risk of Death: A Principal Stratification Approach
by: Jiren Sun, et al.
Published: (2025)

Reconciling Binary Replicates: Beyond the Average
by: H. Lorenzo, et al.
Published: (2026)

Multivariate Adjustments for Average Equivalence Testing
by: Younes Boulaguiem, et al.
Published: (2025)

Continuous‐Time Causal Inference With Marked Point Process Weights: An Example on Sodium‐Glucose Co‐Transporters 2 Inhibitor Medications and Urinary Tract Infection
by: Sumeet Kalia, et al.
Published: (2025)

Unsupervised Sparse Multi‐Task Learning With Application to Alzheimer's Disease
by: Hao Chen, et al.
Published: (2026)

Futility Analyses for the MCP ‐Mod Methodology Based on Longitudinal Models
by: Björn Bornkamp, et al.
Published: (2025)

Estimating Average Treatment Effects With Support Vector Machines
by: Alexander Tarr, et al.
Published: (2025)

Bayesian Sensitivity Analysis for Causal Estimation With Time‐Varying Unmeasured Confounding
by: Yushu Zou, et al.
Published: (2026)

Semiparametric Inference for a Two‐Phase Failure‐Time‐Auxiliary‐Dependent Sampling Design
by: Xu Cao, et al.
Published: (2025)

Matching‐Based Nonparametric Estimation of Group Average Treatment Effects
by: Peng Wu, et al.
Published: (2026)

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
by: Yi Chen, et al.
Published: (2026)

Exploring Causal Effects of Hormone‐ and Radio‐Treatments in an Observational Study of Breast Cancer Using Copula‐Based Semi‐Competing Risks Models
by: Tonghui Yu, et al.
Published: (2025)

Robust Heterogeneity Adjustment for Gaussian Graphical Model With Latent Variables
by: Linxi Li, et al.
Published: (2026)

Semiparametric Modeling of Biomarker Trajectory and Variability With Correlated Measurement Errors
by: Renwen Luo, et al.
Published: (2025)

Statistical Inference for Tensor‐Based Covariates in Cox Regression Modeling in Integrated Genome Studies
by: Chin‐Chun Chen, et al.
Published: (2025)

Variable Selection in Mixed‐Effects Location‐Scale and Location‐Shift Models
by: Moritz Berger, et al.
Published: (2026)

Testing and Quantifying Site‐Level Variability in Diagnostic Sensitivity of an Anchor Variable
by: Seungchul Baek, et al.
Published: (2026)

Minding Averages: Comment on “Experimental Design and Power Calculation in Omics Circadian Rhythmicity Detection Using the Cosinor Model” by Zong et al.
by: Pål O. Westermark
Published: (2025)

Two‐Stage Drop‐the‐Losers Design for the Selection of Effective Treatments and Estimating Their Average Worth
by: Yogesh Katariya, et al.
Published: (2025)

The Mathematics of Serocatalytic Models With Applications to Public Health Data
by: Everlyn Kamau, et al.
Published: (2025)

Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications
by: Zhanfeng Wang, et al.
Published: (2025)

Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data
by: Yunju Im, et al.
Published: (2025)