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NOBEL PRIZE 2026

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NIHNATIONAL INSTITUTE ON AGING

Core C: Data Management Core

Active
Institution
University of California-Irvine, CA
Principal investigator
Daniel L Gillen
Funding
$433K
Duration
2020–2030
Open portfolio

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Abstract

PROJECT SUMMARY – DATA MANAGEMENT AND STATISTICAL CORE (CORE C) Efficient, clean, and organized data, together with valid, flexible, and reproducible statistical design and analysis techniques, are an integral component to achieving the scientific mission of the UCI ADRC. Our overarching goal in the Data Management and Statistical Core (DMSC) is to provide logistical and intellectual support to all ADRC investigators at all phases of scientific projects. The DMSC has a history of leading the way in methodologic development and application of analytic techniques for the analysis of AD/ADRD data and we will continue to lead in the coming cycle. DMSC faculty and staff will be intimately involved in the conception, design, implementation, analysis, and reporting of research conducted by members of the ADRC. The DMSC emphasizes regular communication with ADRC investigators and proactive involvement in ADRC-sponsored projects. In the coming cycle, we will develop and implement continuous integration and continuous deployment workflows for ADRC-derived research projects, enhance our ability to implement Application Program Interface (API) procedures for ADRC projects, and develop novel statistical methodology for generalizable, reproducible, and robust causal inference in AD/ADRD research. These DMSC-specific research endeavors will increase the intellectual contribution of the DMSC to the scientific community at large, and will also lead to improved methods for collecting, entering, and analyzing complex data obtained through local ADRC projects.

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NATIONAL INSTITUTE ON AGINGP30Special Emphasis Panel[ZAG1 ZIJ-G (J1)]statisticalreproducibledata managementcomingadrcadrddmscmanagement statistical

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