1996
DOI: 10.1080/10543409608835122
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Mixed-model analysis of incomplete longitudinal data from a high-dose trial of tacrine (cognex®) in alzheimer's patients

Abstract: Mixed-model techniques are applied to incomplete longitudinal data from a double-blind, placebo-controlled, parallel-group, high-dose study of tacrine in patients with Alzheimer's disease. The study consisted of a 30-week double-blind treatment period. Patients were randomized to one of four treatment groups. Dosing was initiated at 40 mg/day and increased in increments of 40 mg/day every 6 weeks until the target dose was achieved. If the study medication was not well tolerated or there were significant elevat… Show more

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Cited by 13 publications
(2 citation statements)
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“…This model, which was determined to be a better fit for our repeated-measures study design with unequally spaced measurements, is also better at dealing with incomplete data sets. 20,21 Changes in craving for cigarettes were analyzed using a mixed model with dose of naloxone and time of measurement as within-subject factors. In cases of significant effects, multiple comparisons were conducted using least-square (adjusted) means.…”
Section: Discussionmentioning
confidence: 99%
“…This model, which was determined to be a better fit for our repeated-measures study design with unequally spaced measurements, is also better at dealing with incomplete data sets. 20,21 Changes in craving for cigarettes were analyzed using a mixed model with dose of naloxone and time of measurement as within-subject factors. In cases of significant effects, multiple comparisons were conducted using least-square (adjusted) means.…”
Section: Discussionmentioning
confidence: 99%
“…Although not ideal, mixed regression can go some way into providing a solution for such issues and provide greater statistical power than LOCF methods [10] . Although not a standard approach, mixed regression has been used to analyze longitudinal data from AD studies with tacrine [27] and sertraline [28] .…”
Section: Adverse Eventsmentioning
confidence: 99%