Hierarchical Bayesian cognitive processing models to analyze clinical trial data

By William R. Shankle, Junko Hara, Tushar Mangrola, Suzanne Hendrix, Gus Alva, Michael D. Lee Abstract: Identifying disease-modifying treatment effects in earlier stages of Alzheimer’s disease (AD)—when changes are subtle—will require improved trial design and more sensitive analytical methods. We applied hierarchical Bayesian analysis with cognitive processing (HBCP) models to the Alzheimer’s Disease Assessment Scale—Cognitive subscale (ADAS-Cog) and MCI (mild cognitive impairment) Screen word list Read & Research Alzheimer’s More

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