Cover Image

Strategy to Control Biases in Prior Event Rate Ratio Method, With Application to Palliative Care in Patients With Advanced Cancer

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Xiangmei Ma, Grace Meijuan Yang, Qingyuan Zhuang, Yin Bun Cheung
Format:	Artículo Open Access
Published:	Wiley 2026
Subjects:	Statistics in Medicine
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Reverse Time‐to‐Death as Time‐Scale in Time‐to‐Event Analysis for Studies of Advanced Illness and Palliative Care
by: Yin Bun Cheung, et al.
Published: (2025)

Strategy to control biases in prior event rate ratio method, with application to palliative care in patients with advanced cancer
by: Ma, Xiangmei, et al.
Published: (2024)

Flexible and Interpretable Modeling of Overlapping Exposure Risks in Self‐Controlled Case Series Analysis
by: Xuezhixing Zhang, et al.
Published: (2026)

Estimation and reduction of bias in self‐controlled case series with non‐rare event dependent outcomes and heterogeneous populations
by: Kenneth Menglin Lee, et al.
Published: (2024)

Trivariate Joint Modeling for Family Data with Longitudinal Counts, Recurrent Events and a Terminal Event with Application to Lynch Syndrome
by: Jingwei Lu, et al.
Published: (2024)

Sequential Event Rate Monitoring
by: Dong‐Yun Kim, et al.
Published: (2026)

Partially Linear Additive Quantile Regression: Theory and Applications to Breast Cancer Patients' Survival
by: Xinyi Zhao, et al.
Published: (2026)

Drivers of Palliative Care and Hospice Use Among Patients With Advanced Lung Cancer
by: Megan C. Edmonds, et al.
Published: (2025)

A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards
by: Florian Klinglmüller, et al.
Published: (2025)

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

The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints
by: Xinran Huang, et al.
Published: (2024)

What Makes an Estimand Useful? Guidance on the Choice of Intercurrent Event Strategies
by: Brennan C. Kahan, et al.
Published: (2026)

Towards Efficient Time‐to‐Event Dose‐Escalation Guidance of Multi‐Cycle Cancer Therapies
by: Lukas A. Widmer, et al.
Published: (2025)

A Causal Mediation Approach to Account for Interaction of Treatment and Intercurrent Events: Using Hypothetical Strategy
by: Kunpeng Wu, et al.
Published: (2024)

Dynamic Borrowing From Historical Controls via the Synthetic Prior With Covariates in Randomized Clinical Trials
by: Daniel E. Schwartz, et al.
Published: (2026)

Extending the Median Odds Ratio ( MOR ), the Interval Odds Ratio ( IOR ), and the Proportion of Opposed Odds Ratios ( POOR ) for Use With 3‐Level Multilevel Logistic Regression Models
by: Peter C. Austin, et al.
Published: (2026)

Generalized Method of Moments in Analyzing Recurrent Events for Semiparametric Transformation Models With Informative Censoring
by: Yu‐Jen Cheng, et al.
Published: (2025)

Optimal Control of Directional False Discovery Rates in Large‐Scale Testing
by: Guozhu Tang, et al.
Published: (2025)

Predicting Individual Risk of Advanced Adenoma Based on the Interval‐Censored Recurrent Adenoma Event and Informative Screening Time
by: Yipeng Wei, et al.
Published: (2026)

Bayesian Power Prior in Platform Trials With Non‐Concurrent Control for Binary Outcomes: Development and Comparative Evaluation
by: Junichi Asano, 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)

Time‐Dependent ROC Curve for Multiple Longitudinal Biomarkers and Its Application in Diagnosing Cardiovascular Events
by: Lizhe Sun, et al.
Published: (2025)

Balancing Events, Not Patients, Maximizes Power of the Logrank Test: And Other Insights on Unequal Randomization in Survival Trials
by: Godwin Yung, et al.
Published: (2025)

Bayesian Prediction of Event Times Using Mixture Model for Blinded Randomized Controlled Trials
by: Jingyan Fu, et al.
Published: (2025)

Accounting for Patient Characteristics in a Model‐Based Kappa of Agreement Between Two Experts' Ordinal Ratings
by: Kerrie P. Nelson, 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)

On the Interplay Between Prior Weight and Variance of the Robustification Component in Robust Mixture Prior Bayesian Dynamic Borrowing Approach
by: Marco Ratta, et al.
Published: (2026)

Risk‐Profile Based Monitoring Intervals for Multivariate Longitudinal Biomarker Measurements and Competing Events With Applications in Stable Heart Failure
by: Teun B. Petersen, et al.
Published: (2025)

Dual‐Criterion Approach Incorporating Historical Information to Seek Accelerated Approval With Application in Time‐to‐Event Group Sequential Trials
by: Marco Ratta, et al.
Published: (2026)

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)

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

A Note on the Sample Size Formula for a Win Ratio Endpoint
by: Se Yoon Lee
Published: (2025)

Hierarchical Grouped Horseshoe Priors for Subgroup Identification and Estimation
by: Ethan M. Alt, et al.
Published: (2025)

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

Bayesian Spatial Relative Survival Model to Estimate the Loss in Life Expectancy and Crude Probability of Death for Cancer Patients
by: Yuliya Leontyeva, et al.
Published: (2025)

Integrating Omics and Pathological Imaging Data for Cancer Prognosis via a Deep Neural Network‐Based Cox Model
by: Jingmao Li, et al.
Published: (2026)

Psychosocial Issues and Experiences of Advanced Stage Lung Cancer Patients Receiving Palliative Care: A Qualitative Study
by: Dilek Yıldırım, et al.
Published: (2025)

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)

Performance of prior event rate ratio method in the presence of differential mortality or dropout
by: Cheung, Yin Bun, et al.
Published: (2025)

Two‐Step Error‐Controlling Classifiers With Application to Cost‐Effective Disease Diagnosis
by: Kehao Zhu, et al.
Published: (2026)