Estimation of sensitivity and specificity of multiple repeated binary tests without a gold standard
From MaRDI portal
Publication:6627101
DOI10.1002/sim.8114zbMATH Open1546.62786MaRDI QIDQ6627101
Chun Ling Wang, Timothy E. Hanson
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Modeling bivariate longitudinal diagnostic outcome data in the absence of a gold standard
- On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables
- Evaluation of the accuracy of diagnostic tests from repeated~measurements~without a~gold~standard
- Componentwise adaptation for high dimensional MCMC
- A Framework for the Joint Modeling of Longitudinal Diagnostic Outcome Data and Latent Infection Status: Application to Investigating the Temporal Relationship between Infection and Disease
- Identifiability of Models for Multiple Diagnostic Testing in the Absence of a Gold Standard
- What Are the Limits of Posterior Distributions Arising From Nonidentified Models, and Why Should We Care?
- Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests
- Estimating the Error Rates of Diagnostic Tests
- Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests
- Latent Model for Correlated Binary Data with Diagnostic Error
- Estimation of Operating Characteristics for Dependent Diagnostic Tests Based on Latent Markov Models
Related Items (1)
This page was built for publication: Estimation of sensitivity and specificity of multiple repeated binary tests without a gold standard
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6627101)
