# Project 2 Measurement

> **NIH NIH U19** · JOHNS HOPKINS UNIVERSITY · 2020 · $276,078

## Abstract

PROJECT 2: SUMMARY/ABSTRACT
Project 2 is entitled “Novel Measurement Approaches to Preclinical AD”, and is designed to capitalize on
the fact that the subjects in the BIOCARD study have been followed for up to 27 years. This offers an
unparalleled opportunity to identify biomarkers, together with their combinations, that can predict which
cognitively normal individuals will progress to mild cognitive impairment, as well as the changepoints in these
biomarkers during preclinical Alzheimer’s disease. However, this wealth of data also presents many analytical
challenges. These challenges include: how to optimally or efficiently combine biomarker measurements and
how to estimate their changepoints, together with rates of change in the biomarkers, in relation to the incidence
of mild cognitive impairment. The focus of this project is therefore to examine these essential biostatistical
issues for the study of preclinical AD, using data from the BIOCARD study. The specific aims include: (1) To
develop machine learning methods of prediction and compare these approaches to existing methods, (2) to
examine model-based approaches to combining multiple biomarkers for long-term or dynamic prediction, and
(3) to develop and compare methods for examining changepoints in biomarkers. These aims complement the
analytic approaches described in the Biostatistical Core for applying established methods to examine the data
to be collected in the next funding cycle.

## Key facts

- **NIH application ID:** 10003158
- **Project number:** 5U19AG033655-12
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** Mei Cheng Wang
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $276,078
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10003158

## Citation

> US National Institutes of Health, RePORTER application 10003158, Project 2 Measurement (5U19AG033655-12). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10003158. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*