Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA

Journal article

Open access

Peer reviewed

BMC medical research methodology, v 20(1), pp 146-146

06 Jun 2020

PMID: 32505172

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https://doi.org/10.1186/s12874-020-01037-4View

Published, Version of Record (VoR)CC BY V4.0, Open

Bias analysis

Epidemic

Sensitivity

Simulation

Specificity

Uncertainty

Under-diagnosis

8 Record Views

18 citations in Scopus

Title: Towards reduction in bias in epidemic curves due to outcome misclassification through Bayesian analysis of time-series of laboratory test results: case study of COVID-19 in Alberta, Canada and Philadelphia, USA
Creators: Igor Burstyn - Drexel University
Neal D. Goldstein - Drexel University
Paul Gustafson - University of British Columbia
Publication Details: BMC medical research methodology, v 20(1), pp 146-146
Publisher: BioMed Central
Grant note: K01AI143356 / ;
Resource Type: Journal article
Language: English
Academic Unit: Epidemiology and Biostatistics; Environmental and Occupational Health
Web of Science ID: WOS:000540472400002
Scopus ID: 2-s2.0-85086355180
Other Identifier: 991019169595204721

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