Cover Image

Weighted Trigonometric Regression for Suboptimal Designs in Circadian Transcriptome Studies

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Michael T. Gorczyca, Justice D. Sefas
Format:	Artículo Open Access
Published:	Wiley 2025
Subjects:	Statistics in Medicine
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Weighted Trigonometric Regression for Suboptimal Designs in Circadian Biology Studies
by: Gorczyca, Michael, et al.
Published: (2024)

A Corrected Score Function Framework for Modelling Circadian Gene Expression
by: Gorczyca, Michael, et al.
Published: (2024)

A Corrected Score Function Framework for Modelling Circadian Gene Expression
by: Michael T. Gorczyca, et al.
Published: (2024)

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

Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures
by: Daniel Rud, et al.
Published: (2025)

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

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

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

Two-Stage Trigonometric Regression for Modeling Circadian Rhythms
by: Gorczyca, Michael T., et al.
Published: (2025)

Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study
by: Walters, Michael, et al.
Published: (2025)

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

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

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

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

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

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

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

Confidence Intervals for Adaptive Trial Designs II : Case Study and Practical Guidance
by: David S. Robertson, et al.
Published: (2025)

Moving Toward Best Practice When Using Propensity Score Weighting in Survey Observational Studies
by: Yukang Zeng, et al.
Published: (2026)

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]
by: Galit Shmueli
Published: (2025)

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

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

A Partially Randomized Patient Preference, Sequential, Multiple‐Assignment, Randomized Trial Design Analyzed via Weighted and Replicated Frequentist and Bayesian Methods
by: Marianthie Wank, et al.
Published: (2024)

Accounting for Misclassification of Cause of Death in Weighted Cumulative Incidence Functions for Causal Analyses
by: Jessie K. Edwards, et al.
Published: (2025)

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)

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)

A Note on Harmonic Underspecification in Log-Normal Trigonometric Regression
by: Gorczyca, Michael T.
Published: (2026)

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

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

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

Regression Adjustment in Covariate‐Adaptive Randomized Experiments With Missing Covariates
by: Wanjia Fu, et al.
Published: (2025)

A Practical Framework to Design Immunization Studies Based on the Beta Distribution
by: Stefan Embacher, et al.
Published: (2025)

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

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

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

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

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

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