Spatial correlation in Bayesian logistic regression with misclassification.
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Summary
The results demonstrated that adjustment for misclassification must be included to produce unbiased regression estimates, and the recommended model would be the ICAR(ρ), assuming convergence can be obtained.
- Type
- article
- Published
- 2014-06-01
- Cited by
- 7
- References
- 23
- OpenAlex
- https://openalex.org/W24889989
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:27671384
Keywords
Political science
References
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- Bayesian analysis of correlated misclassified binary data
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- Validation Data-Based Adjustments for Outcome Misclassification in Logistic Regression:An Illustration
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- Modelling risk when binary outcomes are subject to error
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- Statistics for Spatial Data, Revised Edition.
Cited by
- Spatial pattern and variations in the prevalence of congenital heart disease in children aged 4-18 years in the Qinghai-Tibetan Plateau.
- Spatial pattern in prevalence of paratuberculosis infection diagnosed with misclassification in Danish dairy herds in 2009 and 2013.
- Identification of Biomarkers for the Prognosis of Pancreatic Ductal Adenocarcinoma with miRNA Microarray Data
- Low prevalence of Salmonella in Swedish dairy herds highlight differences between serotypes.
- Spatial measurement errors in the field of spatial epidemiology
- The Simulation and Analysis of Image Change with Improved Cellular Automata and Optimization Methods
- Spatial patterns and predictors of antenatal care interruption in war-torn Tigray, northern Ethiopia: Spatial modelling approach
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