Statistics, Assessment and Data Management Core
The Statistics, Assessment, and Data Management (StAD) Core will be a resource for cutting-edge conceptualization, consultation, and collaboration in major research-methods domains critical to the HIV Center’s mission.
To develop and promote state-of-the-art research design and analytic strategies for study planning,
analytic monitoring, and statistical analyses in bio-behavioral HIV/AIDS research that emphasizeInnovative trials research including intervention development studies; efficacy trials; and comparative effectiveness, health services, and other implementation research designs;
Observational or determinants-focused research using individual-level data or existing institutional and
population-based databases to understand basic bio-behavioral mechanisms affecting the HIV
prevention and care continua for emerging and persisting vulnerable special populations;Mixed methods research that integrates quantitative (i.e., trial or observational) data with qualitative
descriptions of experiences, meanings, contexts, and facilitators/barriers that underlie those data.
To facilitate identification, adaptation, and/or development of assessment strategies that maximize
validity, technological currency and flexibility, and explanatory power by providing expertise inIdentification and adaptation of quantitative assessments, especially of mental health and substance
use; neurocognitive; and psychosocial, structural, system-level and health behavior characteristics;Development and adaptation of qualitative assessment tools and guidance in qualitative analysis;
Use of current and emerging digital platforms (e.g., social media, text messaging, mobile apps, large
electronic databases such as electronic medical records and surveillance data) for assessment as well
as for developing and implementing targeted HIV prevention and treatment initiatives.
To promote rigorous data management by all investigators by
Leveraging expertise in our institutional data management center to provide access to a state-of-the-art
data management system that ensures and optimizes secure data collection, including quality-checks
of data in real time, and storage of data;Working with investigators to establish project-specific methods for high-quality, efficient data collection
and management;Building capacity for harmonizing existing data and maximizing compatibility of new datasets to enable
meta-analyses, pooled analyses, pilot study research, and data sharing both within the HIV Center and
across the broader research community.
CORE MEMBERSHIP:
Core Director:
Core Co-Director:
Core Investigators:
Bridget Anderson, PhD
Cale Basaraba, MPH
Richard Buchsbaum, MS
Aimee Campbell, PhD
Theresa Exner, PhD
Peter Gordon, MD
Mary Irvine, PhD
Claude Ann Mellins, PhD
Reuben Robbins, PhD
Melanie Wall, PhD
Core Affiliates:
Don DesJarlais, PhD
Mark Hatzenbuehler, PhD
Bruce Levin, PhD
Columbia University Department of Biomedical Informatics
Columbia University Department of Biostatistics
Columbia University’s Clinical and Translational Science Award (CTSA) Biostatistics Core
New York State Psychiatric Institute Mental Health Data Science