:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qi Liu, Jie Bao, Xu Zhang, Chuan Shi, Catherine Liu, Rui Luo
Format:	Artículo Open Access
Published:	Wiley 2025
Subjects:	Statistics in Medicine
Online Access:	https://onlinelibrary.wiley.com/doi/10.1002/sim.70020
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Subgroup Testing in the Change‐Plane Cox Model
by: Xiao Zhang, et al.
Published: (2025)

A Unified Framework for Statistical Inference and Power Analysis of Single and Comparative Fβ Scores
by: Chih‐Yuan Hsu, et al.
Published: (2026)

Combining Biomarkers to Improve Diagnostic Accuracy in Detecting Diseases With Group‐Tested Data
by: Jin Yang, et al.
Published: (2024)

A Bayesian Approach to the G‐Formula via Iterative Conditional Regression
by: Ruyi Liu, et al.
Published: (2025)

BayTetra : A Bayesian Semiparametric Approach for Testing Trajectory Differences
by: Wei Jin, et al.
Published: (2025)

The spike‐and‐slab quantile LASSO for robust variable selection in cancer genomics studies
by: Yuwen Liu, et al.
Published: (2024)

A Bayesian Parametric and Nonparametric Approach for the Imputation of Multivariate Left‐Censored Data Due to Limit of Detection
by: Federico L. Perlino, et al.
Published: (2025)

A Corrected Score Approach for Proportional Hazards Model With Error‐Contaminated Covariates Subject to Detection Limits
by: Xiao Song, et al.
Published: (2025)

Causal Inference With Outcomes Truncated by Death and Missing Not at Random
by: Wei Li, 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)

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

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

Detecting changes in the transmission rate of a stochastic epidemic model
by: Jenny Huang, et al.
Published: (2024)

Flexible Empirical Bayesian Approaches to Pharmacovigilance for Simultaneous Signal Detection and Signal Strength Estimation in Spontaneous Reporting Systems Data
by: Yihao Tan, et al.
Published: (2025)

Collaborative inference for treatment effect with distributed data‐sharing management in multicenter studies
by: Mengtong Hu, et al.
Published: (2024)

A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi‐Cohort Alzheimer's Disease Study
by: Wenyi Wang, et al.
Published: (2026)

Randomized Interventional Effects in Semicompeting Risks, With Application to a Hematopoietic Cell Transplantation Study
by: Yuhao Deng, et al.
Published: (2026)

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

A Bayesian Approach for Robust Longitudinal Envelope Models
by: Peng Zeng, et al.
Published: (2026)

Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data
by: Corentin Ségalas, et al.
Published: (2024)

Predicting the multivariate zero‐inflated counts: A novel model averaging method under Pearson loss
by: Yin Liu, et al.
Published: (2024)

Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score
by: Yuhao Deng, et al.
Published: (2025)

Semiparametric Estimation of Relative Causal Effects in Randomized Controlled Trials With Noncompliance
by: Wenli Liu, et al.
Published: (2025)

Weighted Expectile Regression Neural Networks for Right Censored Data
by: Feipeng Zhang, et al.
Published: (2024)

Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout
by: Analissa Avila, et al.
Published: (2025)

Causal Mediation Analysis: A Summary‐Data Mendelian Randomization Approach
by: Shu‐Chin Lin, et al.
Published: (2025)

Simultaneous Representation Learning of Multi‐Omics and Clinical Outcome Data via a Supervised Knowledge‐Guided Bayesian Factor Model
by: Qiyiwen Zhang, et al.
Published: (2026)

Nothing to See Here? A Non‐Inferiority Approach to Parallel Trends
by: Alyssa Bilinski, et al.
Published: (2026)

What Is Fair? Defining Fairness in Machine Learning for Health
by: Jianhui Gao, et al.
Published: (2025)

Constructing a T ‐Test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
by: Minxin Lu, et al.
Published: (2025)

Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial
by: Gerardo Chowell, et al.
Published: (2024)

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

Leveraging Rank Information for Robust Regression Analysis: A Nomination Sampling Approach
by: Neve Loewen, et al.
Published: (2026)

Exploring the Transitivity Assumption in Network Meta‐Analysis: A Novel Approach and Its Implications
by: Loukia M. Spineli, 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)

A Fully‐Integrated Bayesian Approach for the Imputation and Analysis of Derived Outcome Variables With Missingness
by: Harlan Campbell, et al.
Published: (2026)

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

A Generalized Bayesian Stochastic Block Model for Microbiome Community Detection
by: Kevin C. Lutz, et al.
Published: (2025)

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

Outlier Detection in Mendelian Randomization
by: Maximilian M. Mandl, et al.
Published: (2025)