Cover Image

Leveraging Rank Information for Robust Regression Analysis: A Nomination Sampling Approach

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Neve Loewen, Mohammad Jafari Jozani
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

Threshold Exceedance Estimation in Spatially Correlated Areal Data Using Maxima-Nominated Sampling
by: Jozani, Mohammad Jafari
Published: (2026)

Bayesian mixture modelling with ranked set samples
by: Amirhossein Alvandi, et al.
Published: (2024)

L-Estimation of Population Quantiles Using Ranked Set Sampling
by: Jozani, Mohammad Jafari, et al.
Published: (2026)

Fractionally Supervised Classification with Maxima Nominated Samples
by: Jozani, Mohammad Jafari, et al.
Published: (2026)

An Augmented Approach for Regression Analysis of Case‐Cohort Interval‐Censored Failure Time Data
by: Yichen Lou, et al.
Published: (2025)

Elite-Driven Support Vector Machines for Classification
by: Jozani, Mohammad Jafari, et al.
Published: (2026)

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

A Simple Information Criterion for Variable Selection in High‐Dimensional Regression
by: Matthieu Pluntz, et al.
Published: (2024)

Penalized Reduced Rank Regression for Multi‐Outcome Survival Data Supports a Common Metabolic Risk Score for Age‐Related Diseases
by: Marije H. Sluiskes, et al.
Published: (2025)

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

Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model
by: Ping Xie, et al.
Published: (2024)

Adaptive Incorporation of External Summary Information in the Cox Regression Under Population Heterogeneity
by: Yiqi Li, et al.
Published: (2026)

Regression—A Means, Not an End
by: Robert W. Platt
Published: (2025)

Network Meta‐Analysis With Individual Participant‐Level Data of Time‐to‐Event Outcomes Using Cox Regression
by: Kaiyuan Hua, et al.
Published: (2025)

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

Regression Trees With Fused Leaves
by: Xiaogang Su, et al.
Published: (2024)

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
by: Yi Chen, et al.
Published: (2026)

A Proposal for Homoskedastic Modeling With Conditional Auto‐Regressive Distributions
by: Miguel A. Martinez‐Beneito, et al.
Published: (2025)

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

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

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

Tutorial on Bayesian Functional Regression Using Stan
by: Ziren Jiang, et al.
Published: (2025)

A Nonparametric Regression Calibration for the Accelerated Failure Time Model With Measurement Error
by: Yih‐Huei Huang, et al.
Published: (2024)

On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching
by: John B. Carlin, et al.
Published: (2025)

A Fully‐Integrated Bayesian Approach for the Imputation and Analysis of Derived Outcome Variables With Missingness
by: Harlan Campbell, 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)

Doubly Robust Estimation of Marginal Cumulative Incidence Curves for Competing Risk Analysis
by: Patrick van Hage, et al.
Published: (2025)

Extended Joinpoint Regression Methodology for Complex Survey Data
by: Benmei Liu, et al.
Published: (2026)

Marginally Interpretable Spatial Logistic Regression With Bridge Processes
by: Changwoo J. Lee, et al.
Published: (2026)

Transfer Learning for Error‐Contaminated Poisson Regression Models
by: Jou‐Chin Wu, et al.
Published: (2025)

High‐Dimensional Multiresponse Partially Functional Linear Regression
by: Xiong Cai, et al.
Published: (2025)

Bayesian Additive Regression Trees for Group Testing Data
by: Madeleine E. St. Ville, et al.
Published: (2025)

Discussion of “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching”
by: Stijn Vansteelandt, 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)

Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
by: Chenxi Li, et al.
Published: (2025)

Accommodating Spatial Heterogeneity in Geographically Weighted Regression with Group Penalty
by: Tengdi Zheng, et al.
Published: (2025)

Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology
by: Roberta De Vito, et al.
Published: (2025)

Weighted Trigonometric Regression for Suboptimal Designs in Circadian Transcriptome Studies
by: Michael T. Gorczyca, et al.
Published: (2025)

Gaussian Process Regression for Value‐Censored Functional and Longitudinal Data
by: Adam Gorm Hoffmann, et al.
Published: (2025)

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