Estimating disease prevalence using inverse binomial pooled testing
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Publication:2260204
DOI10.1007/s13253-010-0036-4zbMath1306.62324OpenAlexW2005578321WikidataQ35090545 ScholiaQ35090545MaRDI QIDQ2260204
Joshua M. Tebbs, Nicholas A. Pritchard
Publication date: 5 March 2015
Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3131210
prevalencemaximum likelihoodnegative binomial distributiongroup testinggeometric distributionWest Nile virusfoot and mouth disease
Related Items (12)
Estimation of proportions by group testing with retesting of positive groups ⋮ Improved estimation of proportions using inverse binomial group testing ⋮ Sequential estimation in the group testing problem ⋮ Proportional closeness estimation of probability of contamination under group testing ⋮ A New Estimator for a Population Proportion Using Group Testing ⋮ Bayesian inference for disease prevalence using negative binomial group testing ⋮ The optimal group size using inverse binomial group testing considering misclassification ⋮ Odds ratio-based group sequential analysis for joint binomial and inverse binomial sampling ⋮ Interval Estimations for the Mean of the Generalized Poisson and Generalized Negative Binomial Distributions ⋮ Bias correction of estimated proportions using inverse binomial group testing ⋮ Group testing: Revisiting the ideas ⋮ Some limit results in estimation of proportion based on group testing
Cites Work
- Pairwise comparisons for proportions estimated by pooled testing
- Large-sample hypothesis tests for stratified group-testing data
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- On Latent-Variable Model Misspecification in Structural Measurement Error Models for Binary Response
- Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
- Bayesian Models for Limiting Dilution Assay and Group Test Data
- Exact Confidence Intervals for Proportions Estimated by Group Testing
- Mid-P confidence intervals based on the likelihood ratio for proportions estimated by group testing
- 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
- ON A METHOD OF ESTIMATING FREQUENCIES
- Group Testing Regression Models with Fixed and Random Effects
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