An updated Alzheimer’s disease progression model: incorporating non-linearity, beta regression, and a third-level random effect in NONMEM

• Published in: Journal of pharmacokinetics and pharmacodynamics Vol. 41; no. 6; pp. 581 - 598
• Main Authors: Conrado, Daniela J., Denney, William S., Chen, Danny, Ito, Kaori
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.12.2014; Springer Nature B.V
• Subjects: Aged; Alleles; Alzheimer Disease - drug therapy; Alzheimer Disease - genetics; Alzheimer Disease - pathology; Apolipoprotein E4 - genetics; Biochemistry; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Clinical Trials as Topic; Disease Progression; Double-Blind Method; Female; Humans; Male; Original Paper; Pharmacology/Toxicology; Pharmacy; Randomized Controlled Trials as Topic; Veterinary Medicine/Veterinary Science; Coalition Against Major Diseases (CAMD); Alzheimer’s disease; ADAS-cog; Disease progression; Patient-level model-based meta-analysis; NONMEM

Our objective was to expand our understanding of the predictors of Alzheimer’s disease (AD) progression to help design a clinical trial on a novel AD medication. We utilized the Coalition Against Major Diseases AD dataset consisting of control-arm data (both placebo and stable background AD medicati...