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.

  1. 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 emphasize
    •  Innovative 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.
       
  2. To facilitate identification, adaptation, and/or development of assessment strategies that maximize
    validity, technological currency and flexibility, and explanatory power by providing expertise in
    • Identification 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.
       
  3. 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: 

Martina Pavlicova, PhD

Core Co-Director:

Susan Tross, PhD

Core Investigators:

Bridget Anderson, PhD
Cale Basaraba
Richard Buchsbaum, MS
Aimee Campbell, PhD
Alex Carballo-Diéguez, PhD
Theresa Exner, PhD
Peter Gordon, MD
Mary Irvine, PhD
Claude Ann Mellins, PhD
Reuben Robbins, PhD
Karolynn Siegel, PhD
Melanie Wall, PhD

Core Affiliates:

Don DesJarlais, PhD
Mark Hatzenbuehler, PhD
Haomiao Jia, PhD
Bruce Levin, PhD
Bruce Rapkin, PhD
Columbia University Department of Biomedical Informatics