Minding Averages: Comment on “Experimental Design and Power Calculation in Omics Circadian Rhythmicity Detection Using the Cosinor Model” by Zong et al.
Fuente:
Wiley Open Access
Saved in:
| Main Author: | Pål O. Westermark |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
by: RuoFei Yin, et al.
Published: (2025)
Weighted Trigonometric Regression for Suboptimal Designs in Circadian Transcriptome Studies
by: Michael T. Gorczyca, et al.
Published: (2025)
by: Michael T. Gorczyca, et al.
Published: (2025)
Authors' Response to Comments by Di Tanna et al.
by: Heejung Bang, et al.
Published: (2026)
by: Heejung Bang, et al.
Published: (2026)
Sample Size Calculation for the ROCI Design
by: Henry Bern, et al.
Published: (2026)
by: Henry Bern, et al.
Published: (2026)
Integrating Multiple Data Sources With Interactions in Multi‐Omics Using Cooperative Learning
by: Matteo D'Alessandro, et al.
Published: (2025)
by: Matteo D'Alessandro, et al.
Published: (2025)
Sample Size and Power Calculations With Win Measures Based on Hierarchical Endpoints
by: Huiman Barnhart, et al.
Published: (2025)
by: Huiman Barnhart, et al.
Published: (2025)
Sample Size Calculation in Dose Optimization Trials Using the Margin of Practical Non‐Inferiority
by: Hakim‐Moulay Dehbi, et al.
Published: (2025)
by: Hakim‐Moulay Dehbi, et al.
Published: (2025)
Comments on “Novel Non‐Linear Models for Clinical Trial Analysis With Longitudinal Data: A Tutorial Using SAS for Both Frequentist and Bayesian Methods”
by: M. C. Donohue, et al.
Published: (2025)
by: M. C. Donohue, et al.
Published: (2025)
Comments on “Sample Size Adaptation Designs and Efficiency Comparison With Group Sequential Designs”
by: Meinhard Kieser, et al.
Published: (2025)
by: Meinhard Kieser, et al.
Published: (2025)
A Causal Perspective on “Appropriate Implementation of ICH E9 ( R1 ) Addendum Strategies” (Comment on Fleming et al.)
by: Tim P. Morris, et al.
Published: (2026)
by: Tim P. Morris, et al.
Published: (2026)
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies
by: Melody A. Owen, et al.
Published: (2025)
by: Melody A. Owen, et al.
Published: (2025)
Two‐Stage Drop‐the‐Losers Design for the Selection of Effective Treatments and Estimating Their Average Worth
by: Yogesh Katariya, et al.
Published: (2025)
by: Yogesh Katariya, et al.
Published: (2025)
Instrumental Variable Model Average With Applications in Nonlinear Causal Inference
by: Dong Chen, et al.
Published: (2024)
by: Dong Chen, 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)
by: Jingmao Li, et al.
Published: (2026)
Overcoming Model Uncertainty — How Equivalence Tests Can Benefit From Model Averaging
by: Niklas Hagemann, et al.
Published: (2025)
by: Niklas Hagemann, et al.
Published: (2025)
Expected Value of Sample Information Calculations for Risk Prediction Model Development
by: Abdollah Safari, et al.
Published: (2026)
by: Abdollah Safari, et al.
Published: (2026)
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)
by: Qiyiwen Zhang, et al.
Published: (2026)
Multivariate Adjustments for Average Equivalence Testing
by: Younes Boulaguiem, et al.
Published: (2025)
by: Younes Boulaguiem, et al.
Published: (2025)
Reconciling Binary Replicates: Beyond the Average
by: H. Lorenzo, et al.
Published: (2026)
by: H. Lorenzo, et al.
Published: (2026)
Integrative Multi‐Omics and Multivariate Longitudinal Data Analysis for Dynamic Risk Estimation in Alzheimer's Disease
by: Yuanyuan Guo, et al.
Published: (2025)
by: Yuanyuan Guo, et al.
Published: (2025)
A Sensitivity Analysis Framework Using the Proxy Pattern–Mixture Model for Generalization of Experimental Results
by: Rebecca R. Andridge, et al.
Published: (2025)
by: Rebecca R. Andridge, et al.
Published: (2025)
Estimating Average Treatment Effects With Support Vector Machines
by: Alexander Tarr, et al.
Published: (2025)
by: Alexander Tarr, et al.
Published: (2025)
Response to Letter to the Editor “Comments on ‘Novel Non‐Linear Models for Clinical Trial Analysis With Longitudinal Data: A Tutorial Using SAS for Both Frequentist and Bayesian Methods’”
by: Guoqiao Wang, et al.
Published: (2025)
by: Guoqiao Wang, et al.
Published: (2025)
Matching‐Based Nonparametric Estimation of Group Average Treatment Effects
by: Peng Wu, et al.
Published: (2026)
by: Peng Wu, et al.
Published: (2026)
Improved Pharmacovigilance Signal Detection Using Bayesian Generalized Linear Mixed Models
by: Paloma Hauser, et al.
Published: (2025)
by: Paloma Hauser, et al.
Published: (2025)
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight
by: Zihan Qian, et al.
Published: (2025)
by: Zihan Qian, et al.
Published: (2025)
Identification and Estimation of the Average Causal Effects Under Dietary Substitution Strategies
by: Yu‐Han Chiu, et al.
Published: (2025)
by: Yu‐Han Chiu, et al.
Published: (2025)
Regional Consistency Evaluation and Sample Size Calculation Under Two MRCTs
by: Kunhai Qing, et al.
Published: (2025)
by: Kunhai Qing, et al.
Published: (2025)
A Model Based on Mixture of Weibull Distributions for Depending Competing Risks Data in the Presence of Long‐Term Survivors, and Its Application to Malignant Melanoma Cancer Data
by: Ayon Ganguly, et al.
Published: (2026)
by: Ayon Ganguly, et al.
Published: (2026)
A Bayesian Approach to Estimate Causal Average Treatment Effects Under Unmeasured Confounding
by: Jinghong Zeng
Published: (2026)
by: Jinghong Zeng
Published: (2026)
A Precision Mixture Risk Model to Identify Adverse Drug Events in Subpopulations Using a Case‐Crossover Design
by: Yi Shi, et al.
Published: (2024)
by: Yi Shi, et al.
Published: (2024)
Tuning LASSO Models for Propensity Score Weighting and Using Synthetic Negative Control Exposures for Residual Bias Detection
by: Richard Wyss, et al.
Published: (2026)
by: Richard Wyss, et al.
Published: (2026)
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior
by: Zifei Han, et al.
Published: (2025)
by: Zifei Han, et al.
Published: (2025)
Group Sequential Trial Design Using Stepwise Monte Carlo for Increased Flexibility and Robustness
by: Amitay Kamber, et al.
Published: (2025)
by: Amitay Kamber, et al.
Published: (2025)
Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints
by: Ryota Ishii, et al.
Published: (2025)
by: Ryota Ishii, et al.
Published: (2025)
Sample Size Re‐Estimation in Blinded Hybrid‐Control Design Using Inverse Probability Weighting
by: Masahiro Kojima, et al.
Published: (2026)
by: Masahiro Kojima, et al.
Published: (2026)
Dirichlet Distribution Parameter Estimation With Applications in Microbiome Analyses
by: Daniel T. Fuller, et al.
Published: (2026)
by: Daniel T. Fuller, et al.
Published: (2026)
Adaptive Sparsening and Smoothing of the Treatment Model for Longitudinal Causal Inference Using Outcome‐Adaptive LASSO and Marginal Fused LASSO
by: Mireille E. Schnitzer, et al.
Published: (2026)
by: Mireille E. Schnitzer, et al.
Published: (2026)
On Inclusion of Covariates in Model Based Dose Finding Clinical Trial Designs
by: Adrien Ollier, et al.
Published: (2025)
by: Adrien Ollier, et al.
Published: (2025)
Commentary on Fleming et al. “A Perspective on the Appropriate Implementation of ICH E9 ( R1 ) Addendum Strategies for Handling Intercurrent Events”
by: Oliver Keene, et al.
Published: (2026)
by: Oliver Keene, et al.
Published: (2026)
Similar Items
-
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) -
Weighted Trigonometric Regression for Suboptimal Designs in Circadian Transcriptome Studies
by: Michael T. Gorczyca, et al.
Published: (2025) -
Authors' Response to Comments by Di Tanna et al.
by: Heejung Bang, et al.
Published: (2026) -
Sample Size Calculation for the ROCI Design
by: Henry Bern, et al.
Published: (2026) -
Integrating Multiple Data Sources With Interactions in Multi‐Omics Using Cooperative Learning
by: Matteo D'Alessandro, et al.
Published: (2025)