NACC YEARS 11 – 15
To maintain and further develop the NACC database and facilitate its use for research, including:
Expanding the web-based data query capabilities and data analysis tools;
Refining existing data submission systems through the development of new internal data monitoring tools;
Providing database consultation to Alzheimer's Disease Center (ADC) Data Cores and investigators; and
Establishing and maintaining study-specific databases for NACC funded collaborative and external projects.
To continue and build upon the Uniform Data Set (UDS), data quality assurance and quality control procedures already in place, including:
Providing quality assurance for the UDS in terms of operational procedures, documentation, consultation and training;
Applying computerized data checks and statistical pattern monitoring to detect and correct errors;
Conducting audits of ADC data or procedures;
Sustaining attention on data quality issues through monthly data monitoring reports to ADCs and NIA; and
Monitoring responses to identified data issues through the Quality Assurance Issues Tracking System (QAITS).
To promote collaborative research among the ADCs through research funding and technical support, including:
Facilitating NIA sponsored collaborative research initiatives among the ADCs;
Providing competitive, peer-reviewed funding of investigator-initiated collaborative projects and junior investigator NACC data analysis projects;
Continuing to refine the web-based Potential Research Topic List and Tracking system; and
Providing database design/analysis consulting for all ADC investigators.
To develop new methodological tools and approaches relevant to research on Alzheimer's disease (AD) and related disorders, including:
Analysis of binary longitudinal data in multi-center studies with missing covariate values;
Verification bias in diagnostic test studies; and
Markov process models for disease progression accounting for clustering and age dependence.
To conduct descriptive and analytic studies of specific content areas from the NACC database; including:
Prognostic role of body mass index on cognition function and behavior in AD;
Diagnostic accuracy and use of a consensus diagnosis process;
Association between hearing impairment and rate of cognitive decline; and
Factors that predict dropout in the UDS.
To perform NACC's NIA-required administrative functions, including:
Providing logistical support for the directors' and core leaders' semi-annual meetings;
Interfacing with NIA initiative groups;
Distributing funds in support of NACC data collection effort and collaborative projects; and
Facilitating inter-ADC communication activities.