Image de couverture de livre

Expected Value of Sample Information Calculations for Risk Prediction Model Development

Fuente: Wiley Open Access

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Abdollah Safari, Paul Gustafson, Mohsen Sadatsafavi
Format:	Artículo Open Access
Publié:	Wiley 2026
Sujets:	Statistics in Medicine
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Expected value of sample information calculations for risk prediction model development
par: Safari, Abdollah, et autres
Publié: (2024)

A Fully‐Integrated Bayesian Approach for the Imputation and Analysis of Derived Outcome Variables With Missingness
par: Harlan Campbell, et autres
Publié: (2026)

Sample Size Calculation for the ROCI Design
par: Henry Bern, et autres
Publié: (2026)

Sample Size and Power Calculations With Win Measures Based on Hierarchical Endpoints
par: Huiman Barnhart, et autres
Publié: (2025)

Regional Consistency Evaluation and Sample Size Calculation Under Two MRCTs
par: Kunhai Qing, et autres
Publié: (2025)

Sample Size Calculation in Dose Optimization Trials Using the Margin of Practical Non‐Inferiority
par: Hakim‐Moulay Dehbi, et autres
Publié: (2025)

Variant‐Specific Mendelian Risk Prediction Model
par: Julie‐Alexia Dias, et autres
Publié: (2025)

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

Validation of a Risk‐Prediction Model in the Presence of Outcome Misclassification
par: Runjia Zou, et autres
Publié: (2026)

Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling
par: David Svensson, et autres
Publié: (2026)

Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models
par: Junhui Mi, et autres
Publié: (2025)

Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies
par: Dadong Zhang, et autres
Publié: (2024)

Predicting Individual Risk of Advanced Adenoma Based on the Interval‐Censored Recurrent Adenoma Event and Informative Screening Time
par: Yipeng Wei, et autres
Publié: (2026)

Flexible and Interpretable Modeling of Overlapping Exposure Risks in Self‐Controlled Case Series Analysis
par: Xuezhixing Zhang, et autres
Publié: (2026)

Modelling and Predicting Population‐Level Growth With Individual‐Level Information
par: Tuuli Kauppala, et autres
Publié: (2026)

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

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

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
par: Yi Chen, et autres
Publié: (2026)

Leveraging Rank Information for Robust Regression Analysis: A Nomination Sampling Approach
par: Neve Loewen, et autres
Publié: (2026)

Efficient Risk Assessment of Time‐to‐Event Targets With Adaptive Information Transfer
par: Jie Ding, et autres
Publié: (2024)

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

A Bayesian Causal Model for Matrix‐Valued Exposures With Applications to Radiotherapy Planning
par: Zijin Liu, et autres
Publié: (2026)

Confidence Intervals and Sample Size for the ICC in Two‐Way ANOVA Models
par: Dipro Mondal, et autres
Publié: (2025)

Instability of the AUROC of Clinical Prediction Models
par: Florian D. van Leeuwen, et autres
Publié: (2025)

A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk
par: Joanne Kim, et autres
Publié: (2024)

Can the Unit Size Predict Outcomes? Testing for Informativeness in Three‐Level Designs
par: Samuel Anyaso‐Samuel, et autres
Publié: (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
par: Seungwoo Lee, et autres
Publié: (2026)

BEAM: Bayesian Hybrid Design With Adaptive Sample Size Through Multisource Exchangeability Modeling
par: Feng Tian, et autres
Publié: (2025)

Model Validation for Survival Analysis by Smoothed Predictive Likelihood
par: Chengyuan Lu, et autres
Publié: (2025)

Linear Mixed Modeling of Federated Data When Only the Mean, Covariance, and Sample Size Are Available
par: Marie Analiz April Limpoco, et autres
Publié: (2024)

A New Parametric Accelerated Failure Time Model for Semi‐Competing Risks Data
par: Antoniya Dineva, et autres
Publié: (2026)

Testing Similarity of Parametric Competing Risks Models for Identifying Potentially Similar Pathways in Healthcare
par: Kathrin Möllenhoff, et autres
Publié: (2024)

Bayesian Expectile Joint Model With Varying Coefficient for Longitudinal and Semi‐Competing Risks Data
par: Feng Gu, et autres
Publié: (2025)

A Personalized Predictive Model That Jointly Optimizes Discrimination and Calibration
par: Tatiana Krikella, et autres
Publié: (2025)

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

Missing Value Imputation With Adversarial Random Forests— MissARF
par: Pegah Golchian, et autres
Publié: (2026)

Gaussian Process Regression for Value‐Censored Functional and Longitudinal Data
par: Adam Gorm Hoffmann, et autres
Publié: (2025)

Bioequivalence Design With Sampling Distribution Segments
par: Luke Hagar, et autres
Publié: (2025)

The Generalized Harmonic Mean for p‐Values: Combining Dependent and Independent Tests
par: Zhengbang Li, et autres
Publié: (2026)

Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster‐Level Interaction Effects and Small Sample Sizes
par: Dongho Shin, et autres
Publié: (2025)