The Association of Dropout and Outcome in Trials of Antipsychotic Medication and Its Implications for Dealing With Missing Data
Author(s) -
Jonathan Rabinowitz,
Ori Davidov
Publication year - 2007
Publication title -
schizophrenia bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.823
H-Index - 190
eISSN - 1745-1707
pISSN - 0586-7614
DOI - 10.1093/schbul/sbm161
Subject(s) - dropout (neural networks) , positive and negative syndrome scale , antipsychotic , clinical trial , schizophrenia (object oriented programming) , missing data , psychology , psychiatry , medicine , clinical psychology , psychosis , statistics , mathematics , machine learning , computer science
The extent to which noncompletion of a clinical trial relates to outcomes has implications for choosing the most appropriate method for contending with missing data due to dropout. We examined whether dropout relates to outcome in clinical trials of antipsychotic medication.
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