Estimating incidence rates with misclassified disease status: a likelihood-based approach, with application to hepatitis C virus-Reference-Cited by-同舟云学术

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Estimating incidence rates with misclassified disease status: a likelihood-based approach, with application to hepatitis C virus

Published:2012-07 Issue:7 Volume:16 Page:e527-e531
ISSN:1201-9712
Container-title:International Journal of Infectious Diseases
language:en
Short-container-title:International Journal of Infectious Diseases

Author:

Shebl Fatma M.,El-Kamary Samer S.,Shardell Michelle,Langenberg Patricia,Dorgham Laila S.,Maguire James H.,Magder Laurence S.

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),General Medicine

Reference27 articles.

1. Applications of continuous time hidden Markov models to the study of misclassified disease outcomes;Bureau;Stat Med,2003

2. Estimation of infection and recovery rates for highly polymorphic parasites when detectability is imperfect, using hidden Markov models;Smith;Stat Med,2003

3. Discrete proportional hazards models for mismeasured outcomes;Meier;Biometrics,2003

4. Product limit estimation for infectious disease data when the diagnostic test for the outcome is measured with uncertainty;Richardson;Biostatistics,2000

5. Estimating disease rates from a diagnostic test;Yanagawa;Am J Epidemiol,1984

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accounting for misclassification bias of binary outcomes due to underscreening: a sensitivity analysis;BMC Medical Research Methodology;2017-12

2. Misclassification in Administrative Claims Data: Quantifying the Impact on Treatment Effect Estimates;Current Epidemiology Reports;2014-10-15

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