Pairwise comparisons for proportions estimated by pooled testing
From MaRDI portal
Publication:872086
DOI10.1016/j.jspi.2006.02.007zbMath1107.62056OpenAlexW2067219636MaRDI QIDQ872086
Joshua M. Tebbs, Melinda H. McCann
Publication date: 27 March 2007
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jspi.2006.02.007
screening experimentsgroup testingmultiple comparisonssimultaneous inferenceHIV seroprevalence estimationJeffreys--Perks intervalsvector-transfer design
Applications of statistics to biology and medical sciences; meta analysis (62P10) Paired and multiple comparisons; multiple testing (62J15)
Related Items (9)
Nonparametric estimation of distributions and diagnostic accuracy based on group‐tested results with differential misclassification ⋮ Simultaneous Confidence Intervals for Comparing Binomial Parameters ⋮ Large-sample hypothesis tests for stratified group-testing data ⋮ Confidence intervals for the difference of two proportions estimated from pooled samples ⋮ Estimating disease prevalence using inverse binomial pooled testing ⋮ Classic group testing with cost for grouping and testing ⋮ Simultaneous Logit-Based Confidence Intervals for Odds Ratios in 2 × kClassification Tables with a Fixed Reference Level ⋮ Bayesian inference for disease prevalence using negative binomial group testing ⋮ Some limit results in estimation of proportion based on group testing
Cites Work
- Unnamed Item
- Multiple Comparisons
- A Path Length Inequality for the Multivariate-t Distribution, With Applications to Multiple Comparisons
- A Multiple Comparison Procedure for Comparing Several Treatments with a Control
- Simple and Effective Confidence Intervals for Proportions and Differences of Proportions Result from Adding Two Successes and Two Failures
- A One-Sided Studentized Range Test for Testing Against a Simple Ordered Alternative
- Asymptotic Confidence Intervals for the Difference between Two Binomial Parameters for Use with Small Samples
- Screening for the Presence of a Disease by Pooling Sera Samples
- A Two-Stage Adaptive Group-Testing Procedure for Estimating Small Proportions
- Estimating ordered binomial proportions with the use of group testing
- Robustness of Group Testing in the Estimation of Proportions
- Use of Binomial Group Testing in Tests of Hypotheses for Classification or Quantitative Covariables
- On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening
This page was built for publication: Pairwise comparisons for proportions estimated by pooled testing