:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yimo Zhang, Jon A. Steingrimsson, Akhil Ambekar, Hwamee Oh, Ani Eloyan
Format:	Artículo Open Access
Published:	Wiley 2025
Subjects:	Statistics in Medicine
Online Access:	https://onlinelibrary.wiley.com/doi/10.1002/sim.70128
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Geometric Modeling of Hippocampal Tau Deposition: A Surface-Based Framework for Covariate Analysis and Off-Target Contamination Detection
by: Wang, Liangkang, et al.
Published: (2025)

TRAECR: A Tool for Preprocessing Positron Emission Tomography Imaging for Statistical Modeling
by: Ambekar, Akhil, et al.
Published: (2025)

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

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

Single‐Index Measurement Error Jump Regression Model in Alzheimer's Disease Studies
by: Yan‐Yong Zhao, et al.
Published: (2025)

Deep Neural Network‐Based Accelerated Failure Time Models Using Rank Loss
by: Gwangsu Kim, et al.
Published: (2024)

Integrative Multi‐Omics and Multivariate Longitudinal Data Analysis for Dynamic Risk Estimation in Alzheimer's Disease
by: Yuanyuan Guo, 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)

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

Comparison of Methods for Sensitivity Analysis of Heterogeneous Treatment Effects in Observational Studies and Application to Alzheimer's Disease and Cognitive Decline
by: Jingqi Duan, et al.
Published: (2026)

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)

A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk
by: Joanne Kim, et al.
Published: (2024)

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

Specification of Estimands for Complex Disease Processes Using Multistate Models and Utility Functions
by: Alexandra Bühler, et al.
Published: (2025)

A Surrogate‐Calibrated Updating Method for Logistic Regression With Missing Covariates
by: Jooha Oh, et al.
Published: (2026)

Ordinal Sparse Neural Networks for Modeling Gene‐ and Imaging‐Environment Interactions
by: Jiajing Xue, et al.
Published: (2025)

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

Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis
by: Xingdong Feng, et al.
Published: (2026)

Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling
by: David Svensson, et al.
Published: (2026)

Separable and controlled direct effects for competing events: Estimation of component specific effects on sickness absence
by: Niklas N. Maltzahn, et al.
Published: (2024)

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

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

Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies
by: Dadong Zhang, et al.
Published: (2024)

A Personalized Predictive Model That Jointly Optimizes Discrimination and Calibration
by: Tatiana Krikella, et al.
Published: (2025)

Combining Straight‐Line and Map‐Based Distances to Investigate the Connection Between Proximity to Healthy Foods and Disease
by: Sarah C. Lotspeich, 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)

Bayesian Network Meta‐Analysis With One or Two Continuous Outcomes Measured at Multiple Time Points Using Gaussian Random Walks With Drift
by: Pai‐Shan Cheng, et al.
Published: (2026)

Dynamic Treatment Regimes on Dyadic Networks
by: Marizeh Mussavi Rizi, et al.
Published: (2024)

Correction to “Using principal stratification in analysis of clinical trials”
by: Ilya Lipkovich, et al.
Published: (2024)

Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
by: Konstantinos Sechidis, et al.
Published: (2025)

Spatial Individual‐Level Models for Transmission Dynamics of Seasonal Infectious Diseases
by: Amin Abed, et al.
Published: (2026)

Modeling Chronic Disease Mortality by Methods From Accelerated Life Testing
by: Marina Zamsheva, et al.
Published: (2024)

Instability of the AUROC of Clinical Prediction Models
by: Florian D. van Leeuwen, et al.
Published: (2025)

Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior
by: Zifei Han, et al.
Published: (2025)

A Bayesian Mixture of Exponential Family Factor Models for Uncovering Disease Progression Subtypes
by: Kai Kang, et al.
Published: (2025)

Multi‐Model Ensembles in Infectious Disease and Public Health: Methods, Interpretation, and Implementation in R
by: Li Shandross, et al.
Published: (2026)

Variant‐Specific Mendelian Risk Prediction Model
by: Julie‐Alexia Dias, 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)

Model Validation for Survival Analysis by Smoothed Predictive Likelihood
by: Chengyuan Lu, et al.
Published: (2025)