Validation of a Risk‐Prediction Model in the Presence of Outcome Misclassification
Fuente:
Wiley Open Access
Guardado en:
| Autores principales: | Runjia Zou, Brian D Williamson, Susan M Shortreed, R Yates Coley |
|---|---|
| Formato: | Artículo Open Access |
| Publicado: |
Wiley
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Statistical Inference for Association Studies in the Presence of Binary Outcome Misclassification
por: Kimberly A. Hochstedler Webb, et al.
Publicado: (2025)
por: Kimberly A. Hochstedler Webb, et al.
Publicado: (2025)
A Bayesian Prevalence‐Incidence Mixture Model for Screening Outcomes With Misclassification
por: Thomas Klausch, et al.
Publicado: (2026)
por: Thomas Klausch, et al.
Publicado: (2026)
Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models
por: Junhui Mi, et al.
Publicado: (2025)
por: Junhui Mi, et al.
Publicado: (2025)
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example
por: Mikail Nourredine, et al.
Publicado: (2025)
por: Mikail Nourredine, et al.
Publicado: (2025)
Accounting for Misclassification of Cause of Death in Weighted Cumulative Incidence Functions for Causal Analyses
por: Jessie K. Edwards, et al.
Publicado: (2025)
por: Jessie K. Edwards, et al.
Publicado: (2025)
Assessing Treatment Effects in Observational Data With Missing Confounders: A Comparative Study of Practical Doubly‐Robust and Traditional Missing Data Methods
por: Brian D. Williamson, et al.
Publicado: (2026)
por: Brian D. Williamson, et al.
Publicado: (2026)
Behavior of prediction performance metrics with rare events
por: Minus, Emily, et al.
Publicado: (2025)
por: Minus, Emily, et al.
Publicado: (2025)
Variant‐Specific Mendelian Risk Prediction Model
por: Julie‐Alexia Dias, et al.
Publicado: (2025)
por: Julie‐Alexia Dias, et al.
Publicado: (2025)
Model Validation for Survival Analysis by Smoothed Predictive Likelihood
por: Chengyuan Lu, et al.
Publicado: (2025)
por: Chengyuan Lu, et al.
Publicado: (2025)
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes
por: Seungjae Lee, et al.
Publicado: (2024)
por: Seungjae Lee, et al.
Publicado: (2024)
A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk
por: Joanne Kim, et al.
Publicado: (2024)
por: Joanne Kim, et al.
Publicado: (2024)
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
por: Ayon Ganguly, et al.
Publicado: (2026)
por: Ayon Ganguly, et al.
Publicado: (2026)
Expected Value of Sample Information Calculations for Risk Prediction Model Development
por: Abdollah Safari, et al.
Publicado: (2026)
por: Abdollah Safari, et al.
Publicado: (2026)
Evaluating Clinical Implementation of Risk Prediction Based Interventions Using Difference‐In‐Differences
por: Maricela Cruz, et al.
Publicado: (2025)
por: Maricela Cruz, et al.
Publicado: (2025)
Can the Unit Size Predict Outcomes? Testing for Informativeness in Three‐Level Designs
por: Samuel Anyaso‐Samuel, et al.
Publicado: (2025)
por: Samuel Anyaso‐Samuel, et al.
Publicado: (2025)
Incorporating Auxiliary Information into Assessment of Accuracy and Discrimination of Risk Models When Some Predictors are Missing
por: Ruth M. Pfeiffer, et al.
Publicado: (2026)
por: Ruth M. Pfeiffer, et al.
Publicado: (2026)
Constructing a T ‐Test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
por: Minxin Lu, et al.
Publicado: (2025)
por: Minxin Lu, et al.
Publicado: (2025)
Instability of the AUROC of Clinical Prediction Models
por: Florian D. van Leeuwen, et al.
Publicado: (2025)
por: Florian D. van Leeuwen, et al.
Publicado: (2025)
Integrative Multi‐Omics and Multivariate Longitudinal Data Analysis for Dynamic Risk Estimation in Alzheimer's Disease
por: Yuanyuan Guo, et al.
Publicado: (2025)
por: Yuanyuan Guo, et al.
Publicado: (2025)
Modelling Volume‐Outcome Relationships in Health Care
por: Maurilio Gutzeit, et al.
Publicado: (2025)
por: Maurilio Gutzeit, et al.
Publicado: (2025)
Functional Principal Component Analysis as an Alternative to Mixed‐Effect Models for Describing Sparse Repeated Measures in Presence of Missing Data
por: Corentin Ségalas, et al.
Publicado: (2024)
por: Corentin Ségalas, et al.
Publicado: (2024)
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods
por: Lori P. Selby, et al.
Publicado: (2025)
por: Lori P. Selby, et al.
Publicado: (2025)
Penalized Reduced Rank Regression for Multi‐Outcome Survival Data Supports a Common Metabolic Risk Score for Age‐Related Diseases
por: Marije H. Sluiskes, et al.
Publicado: (2025)
por: Marije H. Sluiskes, et al.
Publicado: (2025)
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects
por: Jesse Gervais, et al.
Publicado: (2025)
por: Jesse Gervais, et al.
Publicado: (2025)
Model‐Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
por: Xuan Wang, et al.
Publicado: (2025)
por: Xuan Wang, et al.
Publicado: (2025)
A Nonparametric Global Win Probability Approach to the Analysis and Sizing of Randomized Controlled Trials With Multiple Endpoints of Different Scales and Missing Data: Beyond O'Brien–Wei–Lachin
por: Guangyong Zou, et al.
Publicado: (2024)
por: Guangyong Zou, et al.
Publicado: (2024)
Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID‐19 Study
por: Jiachen Cai, et al.
Publicado: (2026)
por: Jiachen Cai, et al.
Publicado: (2026)
Location‐Scale Latent Process Model for Repeated Ordinal Patient‐Reported Outcomes
por: Agnieszka Król, et al.
Publicado: (2026)
por: Agnieszka Król, et al.
Publicado: (2026)
Addressing Outcome Reporting Bias in Meta‐Analysis: A Selection Model Perspective
por: Alessandra Gaia Saracini, et al.
Publicado: (2025)
por: Alessandra Gaia Saracini, et al.
Publicado: (2025)
Validation of predicted individual treatment effects in out of sample respondents
por: Alena Kuhlemeier, et al.
Publicado: (2024)
por: Alena Kuhlemeier, et al.
Publicado: (2024)
Predicting Individual Risk of Advanced Adenoma Based on the Interval‐Censored Recurrent Adenoma Event and Informative Screening Time
por: Yipeng Wei, et al.
Publicado: (2026)
por: Yipeng Wei, et al.
Publicado: (2026)
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data
por: Yunju Im, et al.
Publicado: (2025)
por: Yunju Im, et al.
Publicado: (2025)
Assessing efficacy in non‐inferiority trials with non‐adherence to interventions: Are intention‐to‐treat and per‐protocol analyses fit for purpose?
por: Matthew Dodd, et al.
Publicado: (2024)
por: Matthew Dodd, et al.
Publicado: (2024)
Pattern Mixture Sensitivity Analyses via Multiple Imputations for Non‐Ignorable Dropout in Joint Modeling of Cognition and Risk of Dementia
por: Tetiana Gorbach, et al.
Publicado: (2025)
por: Tetiana Gorbach, et al.
Publicado: (2025)
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome
por: Xinxin Sun, et al.
Publicado: (2024)
por: Xinxin Sun, et al.
Publicado: (2024)
τ$$ \tau $$‐Inflated beta regression model for censored recurrent events
por: Yizhuo Wang, et al.
Publicado: (2024)
por: Yizhuo Wang, et al.
Publicado: (2024)
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
por: Seungwoo Lee, et al.
Publicado: (2026)
por: Seungwoo Lee, et al.
Publicado: (2026)
A Latent‐factor MCACE Model for Multidimensional Outcomes and Treatment Noncompliance with Application to a Longitudinal Trial of Arthritis Health Journal
por: Lulu Guo, et al.
Publicado: (2026)
por: Lulu Guo, et al.
Publicado: (2026)
Simultaneous Representation Learning of Multi‐Omics and Clinical Outcome Data via a Supervised Knowledge‐Guided Bayesian Factor Model
por: Qiyiwen Zhang, et al.
Publicado: (2026)
por: Qiyiwen Zhang, et al.
Publicado: (2026)
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions
por: Hannah Klinkhammer, et al.
Publicado: (2024)
por: Hannah Klinkhammer, et al.
Publicado: (2024)
Ejemplares similares
-
Statistical Inference for Association Studies in the Presence of Binary Outcome Misclassification
por: Kimberly A. Hochstedler Webb, et al.
Publicado: (2025) -
A Bayesian Prevalence‐Incidence Mixture Model for Screening Outcomes With Misclassification
por: Thomas Klausch, et al.
Publicado: (2026) -
Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models
por: Junhui Mi, et al.
Publicado: (2025) -
Accounting for Misclassification of Binary Outcomes in External Control Arm Studies for Unanchored Indirect Comparisons: Simulations and Applied Example
por: Mikail Nourredine, et al.
Publicado: (2025) -
Accounting for Misclassification of Cause of Death in Weighted Cumulative Incidence Functions for Causal Analyses
por: Jessie K. Edwards, et al.
Publicado: (2025)