Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods

DOI10.1007/s00180-019-00930-xzbMath1482.62015OpenAlexW2980288734WikidataQ127095195 ScholiaQ127095195MaRDI QIDQ782646

Shen-Ming Lee, T. Martin Lukusa, Chin-Shang Li

Publication date: 28 July 2020

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-019-00930-x

zbMATH Keywords

count datamissing at randominverse probability weighting (IPW)zero-inflated Poisson regressionnonparametric multiple imputation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05)

Related Items (3)

Validation likelihood estimation method for a zero-inflated Bernoulli regression model with missing covariates ⋮ Estimation in the zero-inflated bivariate Poisson model, with an application to health-care utilization data ⋮ Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods

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