Pooling Designs for Outcomes under a Gaussian Random Effects Model
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Publication:2893980
DOI10.1111/j.1541-0420.2011.01673.xzbMath1241.62158OpenAlexW2136239288WikidataQ34155857 ScholiaQ34155857MaRDI QIDQ2893980
Yaakov Malinovsky, Paul S. Albert, Enrique F. Schisterman
Publication date: 27 June 2012
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc4159259
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Related Items (8)
Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments ⋮ Single-index regression for pooled biomarker data ⋮ Group testing case identification with biomarker information ⋮ A sequential decoding procedure for pooled quantitative measure ⋮ Varying‐coefficient regression analysis for pooled biomonitoring ⋮ Regression for skewed biomarker outcomes subject to pooling ⋮ Case-control data analysis for randomly pooled biomarkers ⋮ Local polynomial regression for pooled response data
Cites Work
- Detecting random-effects model misspecification via coarsened data
- Binary Regression Analysis with Pooled Exposure Measurements: A Regression Calibration Approach
- On the Detection of Defective Members of Large Populations
- Pooling biospecimens and limits of detection: effects on ROC curve analysis
- A Review of Inference Procedures for the Intraclass Correlation Coefficient in the One-Way Random Effects Model
- Mixed Effects Models with Censored Data with Application to HIV RNA Levels
- Using Pooled Exposure Assessment to Improve Efficiency in Case‐Control Studies
- Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples
- The efficiency of pooling mRNA in microarray experiments
- Group Testing Regression Models with Fixed and Random Effects
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