Censored count data regression with missing censoring information
Copyright policy )Censored count data regression with missing censoring information
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- Mathematics Research Institute of Rennes France
- University of Rennes 2 France
- University of Carthage Tunisia
- University of Rennes 1 France
- University of Rennes France
Simulations, Generalized linear models (logistic models), [STAT.ME] Statistics [stat]/Methodology [stat.ME], 330, multiple imputation, Missing data, augmented inverse probability weighting, Augmented inverse probability weighting, regression calibration, 510, Poisson regression, missing data, Regression calibration, Asymptotic properties, asymptotic properties, Multiple imputation, simulations, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Asymptotic properties of parametric estimators
Simulations, Generalized linear models (logistic models), [STAT.ME] Statistics [stat]/Methodology [stat.ME], 330, multiple imputation, Missing data, augmented inverse probability weighting, Augmented inverse probability weighting, regression calibration, 510, Poisson regression, missing data, Regression calibration, Asymptotic properties, asymptotic properties, Multiple imputation, simulations, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Asymptotic properties of parametric estimators
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