A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity
DOI10.1214/11-AOAS490zbMath1234.62149arXiv1202.6524WikidataQ58322499 ScholiaQ58322499MaRDI QIDQ766005
Neil J. Perkins, Aijun Ye, Enrique F. Schisterman, Albert Vexler
Publication date: 22 March 2012
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1202.6524
poolingmeasurement errorlimit of detectionduplicatecost-efficient designone-pool designthree-assay designtwo-assay design
Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)
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- A combined efficient design for biomarker data subject to a limit of detection due to measuring instrument sensitivity
- Estimating the Parameters of a Truncated Gamma Distribution
- Pooling biospecimens and limits of detection: effects on ROC curve analysis
- Maximum Likelihood Ratio Tests for Comparing the Discriminatory Ability of Biomarkers Subject to Limit of Detection
- Using Pooled Exposure Assessment to Improve Efficiency in Case‐Control Studies
- Sample Size and Power Calculation in Comparing Diagnostic Accuracy of Biomarkers with Pooled Assessments
- ESTIMATION OF THE MEAN AND STANDARD DEVIATION OF A NORMAL POPULATION FROM A CENSORED SAMPLE
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