Estimation of odds ratio from group testing data with misclassified exposure
From MaRDI portal
Publication:6625381
DOI10.1002/bimj.202200254zbMath1547.62436MaRDI QIDQ6625381
Surupa Roy, Subrata Rana, Sumanta Adhya
Publication date: 28 October 2024
Published in: Biometrical Journal (Search for Journal in Brave)
sensitivityodds ratiopseudo-likelihoodspecificityvalidation dataprevalence ratesmisclassified exposure
Cites Work
- On the impact of misclassification in an ordinal exposure variable
- Nonparametric regression with homogeneous group testing data
- Nonparametric Regression Analysis for Group Testing Data
- New approaches to nonparametric and semiparametric regression for univariate and multivariate group testing data
- Optimality of group testing in the presence of misclassification
- Cost-Efficient Study Designs for Binary Response Data with Gaussian Covariate Measurement Error
- Measurement Error
- Sequentially Deciding between Two Experiments for Estimating a Common Success Probability
- Dual Screening
- Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples
- On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening
- Group testing regression model estimation when case identification is a goal
- Semiparametric isotonic regression modelling and estimation for group testing data
- Estimation of log‐odds ratio from group testing data using Firth correction
- A semi-local likelihood regression estimator of the proportion based on group testing data
- Bayesian Methods for Predicting Interacting Protein Pairs Using Domain Information
- Group Testing Regression Models with Fixed and Random Effects
This page was built for publication: Estimation of odds ratio from group testing data with misclassified exposure