Joint estimation of disease-specific sensitivities and specificities in reader-based multi-disease diagnostic studies of paired organs
DOI10.1080/02664763.2014.909790zbMath1352.62024OpenAlexW2056565315MaRDI QIDQ2953294
Christopher J. Rudnisky, N. Withanage, Alexander R. de Leon
Publication date: 4 January 2017
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://figshare.com/articles/journal_contribution/Joint_estimation_of_disease_specific_sensitivities_and_specificities_in_reader_based_multi_disease_diagnostic_studies_of_paired_organs/1004949
latent variable modelspairwise likelihoodgeneralized linear mixed modelbinocular datacorrelated binary outcomes
Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)
Cites Work
- Longitudinal data analysis using generalized linear models
- A pairwise likelihood approach to estimation in multilevel probit models
- ANOVA extensions for mixed discrete and continuous data
- Models for discrete longitudinal data.
- Correlated data analysis: modeling, analytics, and applications
- A note on pseudolikelihood constructed from marginal densities
- Estimating the Error Rates of Diagnostic Tests
- Random Effects Models in Latent Class Analysis for Evaluating Accuracy of Diagnostic Tests
- Generalized linear models for beta correlated binary longitudinal data
- Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles
This page was built for publication: Joint estimation of disease-specific sensitivities and specificities in reader-based multi-disease diagnostic studies of paired organs