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Statistical handling of drop‐outs in longitudinal clinical trials
Author(s) -
Heyting A.,
Tolboom J. T. B. M.,
Essers J. G. A.
Publication year - 1992
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780111603
Subject(s) - observational study , drop out , sample size determination , rating scale , computer science , clinical trial , econometrics , statistics , medicine , mathematics , economics , demographic economics , pathology
This paper considers the statistical complexities that arise due to outcome related drop‐outs in longitudinal clinical trials of the randomized parallel groups design with fixed assessment times and an explanatory aim. The shortcomings of currently popular methods of coping with the problem of drop‐outs are discussed. It is proposed that progress can be made by applying the modern methodology that was primarily developed for sample surveys with non‐response and for observational studies. A practical application using the Hamilton Rating Scale for Depression is presented.