Large-sample hypothesis tests for stratified group-testing data

DOI10.1198/108571107X250977zbMath1306.62351OpenAlexW2070732339WikidataQ113752678 ScholiaQ113752678MaRDI QIDQ2259841

Joshua M. Tebbs, Melinda H. McCann

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/108571107x250977

zbMATH Keywords

EM algorithmasymptotically optimal testsvector-transfer designpooled testingplant disease

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12)

Related Items (2)

A sequential decoding procedure for pooled quantitative measure ⋮ Estimating disease prevalence using inverse binomial pooled testing

Cites Work

• Unnamed Item
• Unnamed Item
• Pairwise comparisons for proportions estimated by pooled testing
• Approximation Theorems of Mathematical Statistics
• A comparison of asymptotically equivalent test statistics for regression transformation
• A Two-Stage Adaptive Group-Testing Procedure for Estimating Small Proportions
• Screening with Cost-Effective Quality Control: Potential Applications to HIV and Drug Testing
• Exact Confidence Intervals for Proportions Estimated by Group Testing
• Testing for Treatment Effect in the Presence of Regression toward the Mean
• Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples
• The Restricted EM Algorithm for Maximum Likelihood Estimation Under Linear Restrictions on the Parameters
• Sensitivity Analysis of Variable‐Size Group Testing and its Related Continuous Models
• Convergence properties of the EM algorithm in constrained parameter spaces

This page was built for publication: Large-sample hypothesis tests for stratified group-testing data