Saved in:
| Main Authors: | Kunpeng Wu, Xiangliang Zhang, Meng Zheng, Jianghui Zhang, Wen Chen |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2024
|
| Subjects: | |
| Online Access: | https://onlinelibrary.wiley.com/doi/10.1002/sim.10212 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
What Makes an Estimand Useful? Guidance on the Choice of Intercurrent Event Strategies
by: Brennan C. Kahan, et al.
Published: (2026)
by: Brennan C. Kahan, et al.
Published: (2026)
A Perspective on the Appropriate Implementation of ICH E9(R1) Addendum Strategies for Handling Intercurrent Events
by: Thomas R. Fleming, et al.
Published: (2025)
by: Thomas R. Fleming, et al.
Published: (2025)
Commentary on Fleming et al. “A Perspective on the Appropriate Implementation of ICH E9 ( R1 ) Addendum Strategies for Handling Intercurrent Events”
by: Oliver Keene, et al.
Published: (2026)
by: Oliver Keene, et al.
Published: (2026)
Causal Mediation Analysis: A Summary‐Data Mendelian Randomization Approach
by: Shu‐Chin Lin, et al.
Published: (2025)
by: Shu‐Chin Lin, 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)
by: Xialing Wen, et al.
Published: (2025)
Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment Mechanisms
by: Takuya Kawahara, et al.
Published: (2026)
by: Takuya Kawahara, et al.
Published: (2026)
Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies
by: Yu‐Han Chiu, et al.
Published: (2025)
by: Yu‐Han Chiu, et al.
Published: (2025)
A Bayesian Approach to Estimate Causal Average Treatment Effects Under Unmeasured Confounding
by: Jinghong Zeng
Published: (2026)
by: Jinghong Zeng
Published: (2026)
Accounting for Misclassification of Cause of Death in Weighted Cumulative Incidence Functions for Causal Analyses
by: Jessie K. Edwards, et al.
Published: (2025)
by: Jessie K. Edwards, et al.
Published: (2025)
Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
by: Konstantinos Sechidis, et al.
Published: (2025)
by: Konstantinos Sechidis, et al.
Published: (2025)
Causal Inference for First Non‐Fatal Events With the Competing Risk of Death: A Principal Stratification Approach
by: Jiren Sun, et al.
Published: (2025)
by: Jiren Sun, et al.
Published: (2025)
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)
by: Tonghui Yu, 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)
by: Georgios Kazantzidis, et al.
Published: (2026)
Using Off‐Treatment Sequential Multiple Imputation for Binary Outcomes to Address Intercurrent Events Handled by a Treatment Policy Strategy
by: Sunita Rehal, et al.
Published: (2026)
by: Sunita Rehal, et al.
Published: (2026)
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment
by: Ruiqian Wu, et al.
Published: (2025)
by: Ruiqian Wu, 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)
by: Mireille E. Schnitzer, et al.
Published: (2026)
A Precision Mixture Risk Model to Identify Adverse Drug Events in Subpopulations Using a Case‐Crossover Design
by: Yi Shi, et al.
Published: (2024)
by: Yi Shi, et al.
Published: (2024)
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight
by: Zihan Qian, et al.
Published: (2025)
by: Zihan Qian, et al.
Published: (2025)
Causal Rule Ensemble Approach for Multi‐Arm Data
by: Ke Wan, et al.
Published: (2026)
by: Ke Wan, et al.
Published: (2026)
Nonparametric Path‐Specific Effects on a Survival Outcome Through Multiple Time‐to‐Event Mediators
by: Yen‐Tsung Huang, et al.
Published: (2025)
by: Yen‐Tsung Huang, et al.
Published: (2025)
Varying Treatment Effects in Subgroups: A Unified Framework for Longitudinal Data Analysis
by: Pu Zhang, et al.
Published: (2026)
by: Pu Zhang, et al.
Published: (2026)
Using Causal Diagrams to Assess Parallel Trends in Difference‐in‐Differences Studies
by: Audrey Renson, et al.
Published: (2026)
by: Audrey Renson, et al.
Published: (2026)
A Causal Perspective on “Appropriate Implementation of ICH E9 ( R1 ) Addendum Strategies” (Comment on Fleming et al.)
by: Tim P. Morris, et al.
Published: (2026)
by: Tim P. Morris, et al.
Published: (2026)
Modern Causal Inference Approaches to Improve Power for Subgroup Analysis in Randomized Controlled Trials
by: Antonio D'Alessandro, et al.
Published: (2026)
by: Antonio D'Alessandro, et al.
Published: (2026)
Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time‐To‐Event Outcomes
by: Denis Talbot, et al.
Published: (2025)
by: Denis Talbot, et al.
Published: (2025)
Comparing Methods to Assess Treatment Effect Heterogeneity in General Parametric Regression Models
by: Yao Chen, et al.
Published: (2026)
by: Yao Chen, et al.
Published: (2026)
Strategy to Control Biases in Prior Event Rate Ratio Method, With Application to Palliative Care in Patients With Advanced Cancer
by: Xiangmei Ma, et al.
Published: (2026)
by: Xiangmei Ma, et al.
Published: (2026)
A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
by: Moka Komaki, et al.
Published: (2026)
by: Moka Komaki, et al.
Published: (2026)
Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach
by: Nasrin Sultana, et al.
Published: (2026)
by: Nasrin Sultana, et al.
Published: (2026)
Bayesian Prediction of Event Times Using Mixture Model for Blinded Randomized Controlled Trials
by: Jingyan Fu, et al.
Published: (2025)
by: Jingyan Fu, et al.
Published: (2025)
A Functional Approach to Testing Overall Effect of Interaction Between DNA Methylation and SNPs
by: Yvelin Gansou, et al.
Published: (2026)
by: Yvelin Gansou, et al.
Published: (2026)
Accounting for Carryover Toxicity in Phase I Clinical Trials with Intra‐Patient Dose Escalation
by: Chloe E. Falke, et al.
Published: (2025)
by: Chloe E. Falke, et al.
Published: (2025)
Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
by: Yi Chen, et al.
Published: (2026)
by: Yi Chen, et al.
Published: (2026)
Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime
by: Kaidi Kong, et al.
Published: (2025)
by: Kaidi Kong, et al.
Published: (2025)
Bayesian Random‐Effects Meta‐Analysis of Aggregate Data on Clinical Events
by: Christian Röver, et al.
Published: (2026)
by: Christian Röver, et al.
Published: (2026)
A Multi‐Phenotype Approach to Joint Testing of Main Genetic and Gene‐Environment Interaction Effects
by: Saurabh Mishra, et al.
Published: (2025)
by: Saurabh Mishra, et al.
Published: (2025)
A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data
by: Pedro Miranda Afonso, et al.
Published: (2025)
by: Pedro Miranda Afonso, et al.
Published: (2025)
Nonparametric Estimation for Propensity Scores With Misclassified Treatments
by: Li‐Pang Chen
Published: (2024)
by: Li‐Pang Chen
Published: (2024)
Causal Covariate Selection for the Regression Calibration Method for Exposure Measurement Error Bias Correction
by: Wenze Tang, et al.
Published: (2026)
by: Wenze Tang, et al.
Published: (2026)
Network Meta‐Analysis With Individual Participant‐Level Data of Time‐to‐Event Outcomes Using Cox Regression
by: Kaiyuan Hua, et al.
Published: (2025)
by: Kaiyuan Hua, et al.
Published: (2025)
Similar Items
-
What Makes an Estimand Useful? Guidance on the Choice of Intercurrent Event Strategies
by: Brennan C. Kahan, et al.
Published: (2026) -
A Perspective on the Appropriate Implementation of ICH E9(R1) Addendum Strategies for Handling Intercurrent Events
by: Thomas R. Fleming, et al.
Published: (2025) -
Commentary on Fleming et al. “A Perspective on the Appropriate Implementation of ICH E9 ( R1 ) Addendum Strategies for Handling Intercurrent Events”
by: Oliver Keene, et al.
Published: (2026) -
Causal Mediation Analysis: A Summary‐Data Mendelian Randomization Approach
by: Shu‐Chin Lin, 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)