# 5/6 COMpAAAS U24: Resource in Informatics and Biostatistics (RIB)

> **NIH NIH U24** · YALE UNIVERSITY · 2020 · $279,784

## Abstract

The overall aim of the NIAAA-funded Consortium to improve OutcoMes in hiv/Aids, Alcohol, Aging, & multi-
Substance use (COMpAAAS) is to build and disseminate the evidence needed to optimize care for HIV+
experiencing medical harm from alcohol and related substance use, through coordinated, integrated, and
externally validated observational, operations research modeling, and intervention studies. Combining and
integrating the complimentary expertise of informatics, biostatistics and epidemiology, we propose a U24
Resource for Informatics and Biostatistics (RIB) to support and inform the other COMpAAAS components. This
resource will address the complex challenges required to maximize power and minimize bias in analyses
addressing consortium-wide questions. Advanced informatics methods supported include natural language
processing (NLP), ontologies, database and clinical decision support, and application of vital data management
tools for secure data collection, storage, annotation, retrieval, and integration. Advanced epidemiological and
statistical methods include time-updated exposure techniques, multiple imputation, propensity score
techniques, measurement error correction, and competing risks regression. Routine, but essential, statistical
methods include Cox proportional hazards, logistic and linear regression, goodness of fit diagnostics, and
agreement/accuracy metrics (kappa, sensitivity, specificity, etc.). The RIB will further leverage the
observational and interventional studies, simulation models, and well-coordinated network of cores and
workgroups of COMpAAAS with advanced informatics and biostatistical techniques tailored to the particular
challenges of large scale, longitudinal data from multiple sources including electronic health records (EHR),
clinical interventions, patient self-report, and tissue repositories. Our specific aims are to provide 1) statistical
and 2) informatics expertise for COMpAAAS to maximize scientific impact. To accomplish this, we will enhance
the design, recruitment, and follow-up of intervention studies, support appropriate design and execution of data
analyses and cross cohort collaborations, provide advanced statistical methods plus estimates of alcohol
patterns for OR modeling and identify sexual/gender minority populations (CHAMP) from VACS survey data.
In addition we will enhance the Consortium Web-Based Laboratory (WBL Portal) informatics infrastructure to
support ongoing research design, data collection and management, development and testing of interventions
such as clinical decision support and eHealth tools and enhance support for the analysis of textual data.

## Key facts

- **NIH application ID:** 10003116
- **Project number:** 5U24AA022001-09
- **Recipient organization:** YALE UNIVERSITY
- **Principal Investigator:** CYNTHIA A. BRANDT
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $279,784
- **Award type:** 5
- **Project period:** 2012-09-15 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10003116

## Citation

> US National Institutes of Health, RePORTER application 10003116, 5/6 COMpAAAS U24: Resource in Informatics and Biostatistics (RIB) (5U24AA022001-09). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/10003116. Licensed CC0.

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