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Mixed-model analysis of incomplete longitudinal data from a high-dose trial of tacrine (cognex<sup>®</sup>) in alzheimer's patients

Journal of Biopharmaceutical StatisticsPublished 1 January 1996
Fraser Smith
Citations15
SJR quartileQ2
SJR score0.56
SNIP0.78

TL;DR

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 to evaluate disease progression over time and the effect of incremental dose increases of tacine on changes on the Alzheimer's Disease Assessment Scale-Cognitive subscale.

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study medication was not well tolerated or there were significant elevations in alanine aminotransferase, patients were withdrawn from the study. The use of SAS procedure PROC MIXED for the analysis of incomplete longitudinal data is discussed. This approach is used to evaluate disease progression over time and the effect of incremental dose increases of tacrine on changes on the Alzheimer's Disease Assessment Scale-Cognitive subscale.

Keywords

MathematicsDecision Sciences