Copertina

Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Roberta De Vito, Alejandra Avalos‐Pacheco
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2025
Soggetti:	Statistics in Medicine
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics
di: Mavis Liang, et al.
Pubblicazione: (2026)

Improving the Modeling of Binary Response Regression Based on New Proposals for Statistical Diagnostics With Applications to Medical Data
di: Manuel Galea, et al.
Pubblicazione: (2025)

Bayesian Variable Selection for High‐Dimensional Mediation Analysis: Application to Metabolomics Data in Epidemiological Studies
di: Youngho Bae, et al.
Pubblicazione: (2026)

A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data
di: Johannes Wieditz, et al.
Pubblicazione: (2024)

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

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

Statistical Inference for Tensor‐Based Covariates in Cox Regression Modeling in Integrated Genome Studies
di: Chin‐Chun Chen, et al.
Pubblicazione: (2025)

Poisson Beta Regression for Count Data With an Application to Hospital Length of Stay Data
di: Alan Herschtal
Pubblicazione: (2025)

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

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

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

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

To Explain, to Predict, or to Describe: Figuring out the Study Goal [Commentary on “On the Uses and Abuses of Regression Models” by Carlin and Moreno‐Betancur]
di: Galit Shmueli
Pubblicazione: (2025)

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

Cumulative Logit Ordinal Regression With Proportional Odds Under Nonignorable Missing Responses—Application to Phase III Trial
di: Arnab Kumar Maity, et al.
Pubblicazione: (2025)

Bayesian Estimation of Partial Functional Tobit Censored Quantile Regression Model
di: Chunjie Wang, et al.
Pubblicazione: (2025)

Some Ways to Make Regression Modeling More Helpful Than Misleading
di: Sander Greenland
Pubblicazione: (2025)

Commentary: Regression Models—Efforts Are Required to Improve Statistical Practice and Teaching
di: Willi Sauerbrei, et al.
Pubblicazione: (2025)

Interpretable Deep Regression Models With Interval‐Censored Failure Time Data
di: Changhui Yuan, et al.
Pubblicazione: (2026)

Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime
di: Kaidi Kong, et al.
Pubblicazione: (2025)

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

Comparing Methods to Assess Treatment Effect Heterogeneity in General Parametric Regression Models
di: Yao Chen, et al.
Pubblicazione: (2026)

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

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

Regression Trees With Fused Leaves
di: Xiaogang Su, et al.
Pubblicazione: (2024)

Discussion of “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching”
di: Stijn Vansteelandt, et al.
Pubblicazione: (2025)

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
di: Yuanyuan Luan, et al.
Pubblicazione: (2026)

Equivalency Between the Generalized Bivariate Bernoulli Model Dependency Test and a Logistic Regression Model With Interaction Effects
di: Kazi Md Farhad Mahmud, et al.
Pubblicazione: (2025)

A Variance Estimator for Marginal Cox Regression Models Fit to Non‐Nested Multilevel Data
di: Peter C. Austin
Pubblicazione: (2025)

Rejoinder to Commentaries on: On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching
di: John B. Carlin, et al.
Pubblicazione: (2025)

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

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

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

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

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

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

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

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

Pairwise Accelerated Failure Time Regression Models for Infectious Disease Transmission in Close‐Contact Groups With External Sources of Infection
di: Yushuf Sharker, et al.
Pubblicazione: (2024)

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