# HISPANIC COMMUNITY HEALTH STUDY - STUDY OF LATINOS COORDINATING CENTER DIVERSITY SUPPLEMENT FOR JOSE LOPEZ

> **NIH NIH N01** · UNIV OF NORTH CAROLINA CHAPEL HILL · 2024 · $26,743

## Abstract

Attrition often occurs in longitudinal studies, e.g., participants dropped out of the study, and results in missing data. There are three general categories of missing data mechanisms: missing completely at random (MCAR), missing at random (MAR), and not missing at random (MNAR). It is well known that if participants who returned to follow-up visits are systematically different from those who did not, using standard methods on only those who returned could provide biased results. Properly accounting for the missing data is critical to obtain valid results. Adjustment Cell Weighting (ACW) is one approach to adjust Baseline Sampling Weights (BSW) when missing is at random. This diversity supplement project proposes to implement ACW when analyzing complex longitudinal survey data using MLMs with 3 or more levels.

## Key facts

- **NIH application ID:** 11180937
- **Project number:** 75N92019D00010-P00002-759202200002-1
- **Recipient organization:** UNIV OF NORTH CAROLINA CHAPEL HILL
- **Principal Investigator:** JIANWEN CAI
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $26,743
- **Award type:** —
- **Project period:** 2022-09-01 → 2024-11-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/11180937

## Citation

> US National Institutes of Health, RePORTER application 11180937, HISPANIC COMMUNITY HEALTH STUDY - STUDY OF LATINOS COORDINATING CENTER DIVERSITY SUPPLEMENT FOR JOSE LOPEZ (75N92019D00010-P00002-759202200002-1). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/11180937. Licensed CC0.

---

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