
Predicting Attrition in a Pediatric Asthma Intervention Study
Author(s) -
Kathy Zebracki,
Dennis Drotar,
H. Lester Kirchner,
Mark D. Schluchter,
Susan Redline,
Carolyn M. Kercsmar,
Natalie Walders
Publication year - 2003
Publication title -
journal of pediatric psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.054
H-Index - 121
eISSN - 1465-735X
pISSN - 0146-8693
DOI - 10.1093/jpepsy/jsg042
Subject(s) - attrition , intervention (counseling) , medicine , asthma , randomization , operationalization , dropout (neural networks) , randomized controlled trial , clinical psychology , psychiatry , philosophy , surgery , dentistry , epistemology , machine learning , computer science
To operationalize a comprehensive description of attrition, including pre-inclusion, dropout, and attrition due to intermittent missing data, and to test a predictive model of attrition using a data set from a randomized controlled intervention in pediatric asthma.