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    News Update – November 12

    CARiNG-StARR Speakers Series

    The CARiNG-StARR (Creating Alzheimer’s Disease and Related Dementias Researchers for the Next Generation – Stimulating Access to Research in Residency) Pathway Speakers Series features experts on a wide range of topics in the Alzheimer’s disease and related dementias field including advances in research, clinical care, and more.

    CARiNG-StARR Speakers Series is open to all faculty, staff, trainees, students, alumni, and friends of the program.

    “Longitudinal Analysis of Cognitive Performance”
    Wednesday, November 17, 2021, Noon-1pm


    Meeting ID: 918 9631 6414
    Passcode: 965262

    Learning Objectives

    Dr. Carl Pieper, DrPH, & Associate Professor of Biostatistics & Bioinformatics, Duke University will:

    • Provide background on the area of dementia research around modeling the trajectory of cognitive change over time, used both in observational studies and clinical trials
    • Will discuss several areas where longitudinal models are typically employed
    • Provide examples and explain the statistical models employed
    • Explore advantages and disadvantages in the use of the measures

    About Our Speaker:

    Dr. Pieper’s analytic areas of interest include issues in the design of medical experiments and in the analysis of repeated measures designs and longitudinal data. Within the area of issues in the design of medical experiments, he explores the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, Dr. Pieper studies powering longitudinal trials with multiple outcomes and substantial missing data using Mixed Models. Among analytic issues in the analysis of repeated measures designs and longitudinal data, Dr. Pieper has interest in the use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multiple variables over time. He has a substantive interest in experimental design and analysis in gerontology and geriatrics, and psychiatry, and multivariate repeated measures designs.