:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Abdollah Safari, Paul Gustafson, Mohsen Sadatsafavi
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2026
Soggetti:	Statistics in Medicine
Accesso online:	https://onlinelibrary.wiley.com/doi/10.1002/sim.70484
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Expected value of sample information calculations for risk prediction model development
di: Safari, Abdollah, et al.
Pubblicazione: (2024)

A Fully‐Integrated Bayesian Approach for the Imputation and Analysis of Derived Outcome Variables With Missingness
di: Harlan Campbell, et al.
Pubblicazione: (2026)

Sample Size Calculation for the ROCI Design
di: Henry Bern, et al.
Pubblicazione: (2026)

Sample Size and Power Calculations With Win Measures Based on Hierarchical Endpoints
di: Huiman Barnhart, et al.
Pubblicazione: (2025)

Regional Consistency Evaluation and Sample Size Calculation Under Two MRCTs
di: Kunhai Qing, et al.
Pubblicazione: (2025)

Sample Size Calculation in Dose Optimization Trials Using the Margin of Practical Non‐Inferiority
di: Hakim‐Moulay Dehbi, et al.
Pubblicazione: (2025)

Variant‐Specific Mendelian Risk Prediction Model
di: Julie‐Alexia Dias, et al.
Pubblicazione: (2025)

Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies
di: Melody A. Owen, et al.
Pubblicazione: (2025)

Validation of a Risk‐Prediction Model in the Presence of Outcome Misclassification
di: Runjia Zou, et al.
Pubblicazione: (2026)

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

Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models
di: Junhui Mi, et al.
Pubblicazione: (2025)

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

Predicting Individual Risk of Advanced Adenoma Based on the Interval‐Censored Recurrent Adenoma Event and Informative Screening Time
di: Yipeng Wei, et al.
Pubblicazione: (2026)

Flexible and Interpretable Modeling of Overlapping Exposure Risks in Self‐Controlled Case Series Analysis
di: Xuezhixing Zhang, et al.
Pubblicazione: (2026)

Modelling and Predicting Population‐Level Growth With Individual‐Level Information
di: Tuuli Kauppala, et al.
Pubblicazione: (2026)

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

Incorporating Auxiliary Information into Assessment of Accuracy and Discrimination of Risk Models When Some Predictors are Missing
di: Ruth M. Pfeiffer, et al.
Pubblicazione: (2026)

Efficient Risk Assessment of Time‐to‐Event Targets With Adaptive Information Transfer
di: Jie Ding, et al.
Pubblicazione: (2024)

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

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

Leveraging Rank Information for Robust Regression Analysis: A Nomination Sampling Approach
di: Neve Loewen, et al.
Pubblicazione: (2026)

A Bayesian Causal Model for Matrix‐Valued Exposures With Applications to Radiotherapy Planning
di: Zijin Liu, et al.
Pubblicazione: (2026)

Confidence Intervals and Sample Size for the ICC in Two‐Way ANOVA Models
di: Dipro Mondal, et al.
Pubblicazione: (2025)

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

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

Flexible Modeling of Time‐Dependent Covariate Effects in Survival Models With Correlated Competing Risks: Application to the Evaluation of Risk‐Reducing Salpingo‐Oophorectomy in Women With BRCA1 Pathogenic Variants
di: Seungwoo Lee, et al.
Pubblicazione: (2026)

Can the Unit Size Predict Outcomes? Testing for Informativeness in Three‐Level Designs
di: Samuel Anyaso‐Samuel, et al.
Pubblicazione: (2025)

BEAM: Bayesian Hybrid Design With Adaptive Sample Size Through Multisource Exchangeability Modeling
di: Feng Tian, et al.
Pubblicazione: (2025)

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

A New Parametric Accelerated Failure Time Model for Semi‐Competing Risks Data
di: Antoniya Dineva, et al.
Pubblicazione: (2026)

Testing Similarity of Parametric Competing Risks Models for Identifying Potentially Similar Pathways in Healthcare
di: Kathrin Möllenhoff, et al.
Pubblicazione: (2024)

Bayesian Expectile Joint Model With Varying Coefficient for Longitudinal and Semi‐Competing Risks Data
di: Feng Gu, et al.
Pubblicazione: (2025)

Linear Mixed Modeling of Federated Data When Only the Mean, Covariance, and Sample Size Are Available
di: Marie Analiz April Limpoco, et al.
Pubblicazione: (2024)

Missing Value Imputation With Adversarial Random Forests— MissARF
di: Pegah Golchian, et al.
Pubblicazione: (2026)

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

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

Modeling the Role of Baseline Risk and Additional Study‐Level Covariates in Meta‐Analysis of Treatment Effects
di: Phuc T. Tran, et al.
Pubblicazione: (2025)

The Generalized Harmonic Mean for p‐Values: Combining Dependent and Independent Tests
di: Zhengbang Li, et al.
Pubblicazione: (2026)

Bioequivalence Design With Sampling Distribution Segments
di: Luke Hagar, et al.
Pubblicazione: (2025)

Logistic Mixed‐Effects Model Analysis With Pseudo‐Observations for Estimating Risk Ratios in Clustered Binary Data Analysis
di: Hisashi Noma, et al.
Pubblicazione: (2025)