Analysis of case-control data with interacting misclassified covariates
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Publication:1690079
DOI10.1186/s40488-017-0069-0OpenAlexW2748073226WikidataQ59522899 ScholiaQ59522899MaRDI QIDQ1690079
Publication date: 18 January 2018
Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s40488-017-0069-0
interaction termcase-control studymisclassificationprospective logistic regressionreplicated measurements
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Cites Work
- Statistical analysis with measurement error or misclassification. Strategy, method and application
- Extended Matrix and Inverse Matrix Methods Utilizing Internal Validation Data When Both Disease and Exposure Status Are Misclassified
- Case-Control Analysis with Partial Knowledge of Exposure Misclassification Probabilities
- A Note on Estimating Crude Odds Ratios in Case-Control Studies with Differentially Misclassified Exposure
- A Semiparametric Mixture Approach to Case-Control Studies With Errors in Covariables
- Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application
- Approximation Theorems of Mathematical Statistics
- Logistic regression for two-stage case-control data
- Logistic disease incidence models and case-control studies
- The Effects of Misclassification on the Estimation of Relative Risk
- Matrix Methods for Estimating Odds Ratios with Misclassified Exposure Data: Extensions and Comparisons
- Case-Control Studies with Errors in Covariates
- Prospective Analysis of Logistic Case-Control Studies
- Estimators of Odds Ratio Regression Parameters in Matched Case-Control Studies with Covariate Measurement Error
- Measurement Error in Nonlinear Models
- Misclassification in 2 X 2 Tables
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