Regression-based imputation of explanatory discrete missing data-Reference-Cited by-同舟云学术

Regression-based imputation of explanatory discrete missing data

Published:2022-11-29 Issue: Volume: Page:1-17
ISSN:0361-0918
Container-title:Communications in Statistics - Simulation and Computation
language:en
Short-container-title:Communications in Statistics - Simulation and Computation

Author:

Hernández-Herrera Gilma¹²,Navarro Albert¹^ORCID,Moriña David³^ORCID

Affiliation:

1. Research Group on Psychosocial Risks, Organization of Work and Health (POWAH), Unitat de Bioestadística, Facultat de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain

2. Instituto de Investigaciones Médicas, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia

3. Department of Econometrics, Statistics and Applied Economics, Riskcenter-IREA, Universitat de Barcelona (UB), Barcelona, Spain

Funder

Ministry of Economy and Competitiveness

Fundación Santander Universidades

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610918.2022.2149805

Reference34 articles.

1. Cox's Regression Model for Counting Processes: A Large Sample Study

2. A COM-Poisson-type generalization of the negative binomial distribution

3. Committee for Medicinal Products for Human Use (CHMP). 2010. Guideline on missing data in confirmatory clinical trials. Technical report, European Medicines Agency, London.

4. A useful distribution for fitting discrete data: revival of the Conway-Maxwell-Poisson distribution

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