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Biostatistics Core

Principal Investigator
Laurel Beckett, Ph.D.
University of California, Davis

The Biostatistics Core is directed by Dr. Laurel Beckett, Ph.D., at UC Davis (UCD) and consists of biostatisticians based at UCD and USC. The Biostatistics Core provides specific expertise related to the ADNI data, including navigating the database, changes in data acquisition across the phases of ADNI, and working with the data files. This core interacts with biostatisticians and other quantitative researchers from academia and industry who are interested in ADNI data. In addition, the core develops multivariate statistical methods and conducts analyses utilizing data that span the ADNI cores.

Laurel Beckett has been involved in AD research for many years. She was the biostatistician for the East Boston AD studies that first estimated the population prevalence and incidence of AD and projected those numbers to the US population. Her methodological research in longitudinal studies and population-based studies has helped to describe patterns and correlates of clinical decline, both in AD and in the general population.

  1. Beckett LA, Harvey DJ, Gamst A, Donohue M, Kornak J, Zhang H, Kuo JH; and the Alzheimer’s Disease Neuroimaging Initiative. The Alzheimer’s Disease Neuroimaging Initiative: Annual change in biomarkers and clinical outcomes. Alzheimer’s and Dementia (2010);6:257-264.  PMCID: PMC2867839
  2. Wyman BT, Harvey DJ, Crawford K, Bernstein MA, Carmichael O, Cole PE, Crane PK, DeCarli C, Fox NC, Gunter JL, Hill D, Killiany RJ, Pachai C, Schwarz AJ, Schuff N, Senjem ML, Suhy J, Thompson PM, Weiner M, Jack CR Jr. Standardization of analysis sets for reporting results from ADNI MRI data.  Alzheimer’s and Dementia (2013);9:332-337. PMCID: PMC3891834
  3. Donohue MC, Sperling RA, Salmon DP, Rentz DM, Raman R, Thomas RG, Weiner M, Aisen PS; Australian Imaging, Biomarkers, and Lifestyle Flagship Study of Ageing; Alzheimer’s Disease Neuroimaging Initiative; Alzheimer’s Disease Cooperative Study. The preclinical Alzheimer cognitive composite; measuring amyloid-related decline. JAMA Neurology (2014);71:961-970. PMCID: PMC4439182
  4. Beckett LA, Donohue MC, Wang C, Aisen P, Harvey DJ, Saito N; Alzheimer’s Disease Neuroimaging Initiative. The Alzheimer’s Disease Neuroimaging Initiative phase 2: increasing the length, breadth, and depth of our understanding. Alzheimers & Dementia (2015);11:823-  831. PMCID:PMC4510463