Jost Reinecke

Latest

• How to and how not to impute incomplete count data
• Quantile regression based multiple imputation of missing data - An evaluation and application to corporal punishment data
• Proper multiple imputation of clustered or panel data
• The development of delinquency during adolescence: a comparison of missing data techniques revisited
• Applied Multiple Imputation. Advantages, Pitfalls, New Developments and Applications in R
• countimp version 2 – A multiple imputation package for incomplete count data
• Multiple imputation of overdispersed multilevel count data.
• Multiple imputation of multilevel count data.
• Multiple Imputation of Zero-Inflated and Overdispersed Multilevel Count Data
• Multiple imputation of incomplete zero‐inflated count data
• countimp 1.0 – A Multiple Imputation Package for Incomplete Count Data
• Efficient ways to impute incomplete panel data
• Multiple imputation of incomplete ordinary and overdispersed count data