Estimation of Covid-19 prevalence from serology tests: a partial identification approach

DOI10.1016/j.jeconom.2020.10.005zbMath1464.62476arXiv2006.16214OpenAlexW3043176317WikidataQ100990398 ScholiaQ100990398MaRDI QIDQ2224909

Panos Toulis

Publication date: 4 February 2021

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.16214

zbMATH Keywords

partial identificationdisease prevalenceCovid-19serology tests

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

Confidence intervals for seroprevalence

Cites Work

• Partial identification using random set theory
• Inference for identifiable parameters in partially identified econometric models
• Partial identification of probability distributions.
• Bounds on Parameters in Panel Dynamic Discrete Choice Models
• Monte Carlo Confidence Sets for Identified Sets
• Inference for the Identified Set in Partially Identified Econometric Models
• Confidence Intervals for Projections of Partially Identified Parameters
• More on Confidence Intervals for Partially Identified Parameters
• Estimation and Confidence Regions for Parameter Sets in Econometric Models
• Testing Statistical Hypotheses
• Confidence Intervals for Partially Identified Parameters

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