Cost-efficient designs based on linearly associated biomarkers

DOI10.1080/02664763.2011.567254OpenAlexW1975617028WikidataQ58322505 ScholiaQ58322505MaRDI QIDQ5124954

Lili Tian, Albert Vexler, Chang-Xing Ma, Enrique F. Schisterman

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.567254

zbMATH Keywords

D-optimalitylinear regressionrandom samplinggroupingpooling designsampling designsbiological samplescost-efficient sampling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Single-index regression for pooled biomarker data ⋮ Additive partially linear model for pooled biomonitoring data ⋮ Varying‐coefficient regression analysis for pooled biomonitoring ⋮ Local polynomial regression for pooled response data

Cites Work

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• On the construction of multi-level supersaturated designs
• On the Detection of Defective Members of Large Populations
• Pooling biospecimens and limits of detection: effects on ROC curve analysis
• Order Statistics
• Comparison of Diagnostic Accuracy of Biomarkers With Pooled Assessments
• Efficient Design and Analysis of Biospecimens with Measurements Subject to Detection Limit
• A new approach in constructing orthogonal and nearly orthogonal arrays.

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