Parameter estimation for logistic errors-in-variables regression under case-control studies
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Publication:6580660
DOI10.1007/s10260-023-00737-7zbMATH Open1541.6218MaRDI QIDQ6580660
Publication date: 29 July 2024
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)
Cites Work
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- Parameter estimation for the logistic regression model under case-control study
- Practical bandwidth selection in deconvolution kernel density estimation
- Covariate measurement error in logistic regression
- Minimum distance regression model checking
- Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
- Bootstrap bandwidth selection in kernel density estimation from a contaminated sample
- A consistent nonparametric density estimator for the deconvolution problem
- Deconvolving kernel density estimators
- Minimum distance estimation for the logistic regression model
- Optimal Rates of Convergence for Deconvolving a Density
- Logistic disease incidence models and case-control studies
- A goodness-of-fit test for logistic regression models based on case-control data
- Estimation of Linear and Nonlinear Errors-in-Variables Models Using Validation Data
- Handbook of Measurement Error Models
- Measurement error correction and sensitivity analysis in longitudinal dietary intervention studies using an external validation study
- An Introduction to Generalized Linear Models, Fourth Edition
- Measurement error correction using validation data: a review of methods and their applicability in case-control studies
- Testing goodness-of-fit in logistic case-control studies
- Measurement Error in Nonlinear Models
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