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Bayesian estimation of pneumonia etiology: Epidemiologic considerations and applications to the Pneumonia Etiology Research for Child Health study
- Source :
- Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America, Clinical Infectious Diseases
- Publication Year :
- 2017
-
Abstract
- In pneumonia, specimens are rarely obtained directly from the infection site, the lung, so the pathogen causing infection is determined indirectly from multiple tests on peripheral clinical specimens, which may have imperfect and uncertain sensitivity and specificity, so inference about the cause is complex. Analytic approaches have included expert review of case-only results, case–control logistic regression, latent class analysis, and attributable fraction, but each has serious limitations and none naturally integrate multiple test results. The Pneumonia Etiology Research for Child Health (PERCH) study required an analytic solution appropriate for a case–control design that could incorporate evidence from multiple specimens from cases and controls and that accounted for measurement error. We describe a Bayesian integrated approach we developed that combined and extended elements of attributable fraction and latent class analyses to meet some of these challenges and illustrate the advantage it confers regarding the challenges identified for other methods.
- Subjects :
- 0301 basic medicine
Microbiology (medical)
medicine.medical_specialty
Pathology
Bayes theorem
Biomedical Research
030106 microbiology
Bayesian probability
epidemiologic methods
Pneumonia, Viral
Inference
Diagnostic Techniques, Respiratory System
statistical models
Logistic regression
Sensitivity and Specificity
03 medical and health sciences
Bayes' theorem
0302 clinical medicine
medicine
Pneumonia, Bacterial
Humans
030212 general & internal medicine
Intensive care medicine
Child
etiologic estimations
Models, Statistical
business.industry
Child Health
Pneumonia
medicine.disease
Latent class model
3. Good health
Infectious Diseases
Case-Control Studies
Epidemiologic Research Design
Attributable risk
Etiology
Supplement Article
business
Subjects
Details
- Language :
- English
- ISSN :
- 15376591 and 10584838
- Volume :
- 64
- Issue :
- suppl_3
- Database :
- OpenAIRE
- Journal :
- Clinical Infectious Diseases
- Accession number :
- edsair.doi.dedup.....3949eaf7d447faf7ba0de8f36c45a348