Analyzing Incomplete Item Scores in Longitudinal Data by Including Item Score Information as Auxiliary Variables

Iris Eekhout, Craig K. Enders, Jos W R Twisk, Michiel R. de Boer, Henrica C W de Vet, Martijn W. Heymans

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Fingerprint

Dive into the research topics of 'Analyzing Incomplete Item Scores in Longitudinal Data by Including Item Score Information as Auxiliary Variables'. Together they form a unique fingerprint.

Mathematics

Business & Economics

Engineering & Materials Science

Social Sciences