Buchumschlag

Sample Size and Power Calculations With Win Measures Based on Hierarchical Endpoints

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Huiman Barnhart, Yuliya Lokhnygina, Roland Matsouaka, Susan Halabi, David Yanez, Robert J. Mentz, Frank Rockhold
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2025
Schlagworte:	Statistics in Medicine
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Estimation and Inference for Win Measures with Multiple Ordinal Endpoints Subject to Missingness
von: Liu, Yi, et al.
Veröffentlicht: (2026)

Estimation and Inference of the Win Ratio for Two Hierarchical Endpoints Subject to Censoring and Missing Data
von: Liu, Yi, et al.
Veröffentlicht: (2026)

The FORSS Framework for Sample Size and Power Calculations With Win Statistics for Hierarchical Endpoints
von: Zhang, Baoshan, et al.
Veröffentlicht: (2026)

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

Sample Size Calculation for the ROCI Design
von: Henry Bern, et al.
Veröffentlicht: (2026)

Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies
von: Melody A. Owen, et al.
Veröffentlicht: (2025)

A Tutorial for Propensity Score Weighting Methods Under Violations of the Positivity Assumption
von: Yi Liu, et al.
Veröffentlicht: (2025)

A Nonparametric Global Win Probability Approach to the Analysis and Sizing of Randomized Controlled Trials With Multiple Endpoints of Different Scales and Missing Data: Beyond O'Brien–Wei–Lachin
von: Guangyong Zou, et al.
Veröffentlicht: (2024)

Regional Consistency Evaluation and Sample Size Calculation Under Two MRCTs
von: Kunhai Qing, et al.
Veröffentlicht: (2025)

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

Sample Size Calculation in Dose Optimization Trials Using the Margin of Practical Non‐Inferiority
von: Hakim‐Moulay Dehbi, et al.
Veröffentlicht: (2025)

Longitudinal Extension of the Win Odds for Ordinal Repeated Measurements
von: Yongxi Long, et al.
Veröffentlicht: (2026)

Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster‐Level Interaction Effects and Small Sample Sizes
von: Dongho Shin, et al.
Veröffentlicht: (2025)

Expected Value of Sample Information Calculations for Risk Prediction Model Development
von: Abdollah Safari, et al.
Veröffentlicht: (2026)

Adaptive Designs in Trials With Time‐to‐Event Endpoints and Covariate Adjustment
von: Daniel Backenroth, et al.
Veröffentlicht: (2026)

Response‐Adaptive Randomization Procedure in Clinical Trials with Surrogate Endpoints
von: Jingya Gao, et al.
Veröffentlicht: (2024)

Sample Size Adjustment in Sequential Multiple Assignment Randomized Trials
von: Liwen Wu, et al.
Veröffentlicht: (2025)

Confidence Intervals and Sample Size for the ICC in Two‐Way ANOVA Models
von: Dipro Mondal, et al.
Veröffentlicht: (2025)

Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints
von: Ryota Ishii, et al.
Veröffentlicht: (2025)

Response to the Commentary on “Experimental Design and Power Calculation in Omics Circadian Rhythmicity Detection Using the Cosinor Model”
von: RuoFei Yin, et al.
Veröffentlicht: (2025)

Comments on “Sample Size Adaptation Designs and Efficiency Comparison With Group Sequential Designs”
von: Meinhard Kieser, et al.
Veröffentlicht: (2025)

BEAM: Bayesian Hybrid Design With Adaptive Sample Size Through Multisource Exchangeability Modeling
von: Feng Tian, et al.
Veröffentlicht: (2025)

Using Win Odds to Improve Commit‐to‐Phase‐3 Decision‐Making in Oncology
von: Benjamin F. Hartley, et al.
Veröffentlicht: (2025)

Exact Randomized Two‐Stage Phase 2 Clinical Trial Designs for Two Binary Co‐Primary Endpoints
von: Hyejung Jung, et al.
Veröffentlicht: (2026)

Sample Size Re‐Estimation in Blinded Hybrid‐Control Design Using Inverse Probability Weighting
von: Masahiro Kojima, et al.
Veröffentlicht: (2026)

Linear Mixed Modeling of Federated Data When Only the Mean, Covariance, and Sample Size Are Available
von: Marie Analiz April Limpoco, et al.
Veröffentlicht: (2024)

Sequential Parallel Comparison Design for Assessing Induction, Maintenance, Long‐Term, and Other Treatment Effects on a Binary Endpoint
von: Hui Quan, et al.
Veröffentlicht: (2026)

Improving the Effectiveness of Sample Size Re‐Estimation: An Operating Characteristic Focused, Hybrid Frequentist‐Bayesian Approach
von: Ping Gao
Veröffentlicht: (2025)

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

Powerful Test of Heterogeneity in Two‐Sample Summary‐Data Mendelian Randomization
von: Kai Wang, et al.
Veröffentlicht: (2024)

DOD ‐ SSR : An Adaptive Seamless Phase II / III Design With Dose Optimization Decision and Sample Size Re‐estimation
von: Meizi Liu, et al.
Veröffentlicht: (2025)

Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies
von: Abderrahmane Bourredjem, et al.
Veröffentlicht: (2024)

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

Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data
von: Guoqiao Wang, et al.
Veröffentlicht: (2024)

τ$$ \tau $$‐Inflated beta regression model for censored recurrent events
von: Yizhuo Wang, et al.
Veröffentlicht: (2024)

Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID‐19 Study
von: Jiachen Cai, et al.
Veröffentlicht: (2026)

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

Can the Unit Size Predict Outcomes? Testing for Informativeness in Three‐Level Designs
von: Samuel Anyaso‐Samuel, et al.
Veröffentlicht: (2025)

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

Bioequivalence Design With Sampling Distribution Segments
von: Luke Hagar, et al.
Veröffentlicht: (2025)