Imputation for Repeated Bounded Outcome Data: Statistical and Machine-Learning Approaches

Imputation for Repeated Bounded Outcome Data: Statistical and Machine-Learning Approaches

Real-life data are bounded and heavy-tailed variables. Zero-one-inflated beta (ZOIB) regression is used for modelling them. There are no appropriate methods to address the problem of missing data in repeated bounded outcomes. We developed an imputation method using ZOIB (i-ZOIB) and compared its per...

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Bibliographic Details
Main Authors: Urko Aguirre-Larracoechea, Cruz E. Borges
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
imputation
bounded outcomes
repeated measures
zero-one-inflated beta distribution
machine learning
Online Access:https://www.mdpi.com/2227-7390/9/17/2081

Internet

https://www.mdpi.com/2227-7390/9/17/2081

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