UCLA DomStat

Welcome to DOMStat

The Department of Medicine Statistics Core (DOMStat) is a team of experienced faculty and staff biostatisticians, data managers and research assistants. DOMStat is housed within the Department of Medicine's Division of General Internal Medicine and Health Services Research. Our objective is to provide investigators at UCLA with state-of-the-art statistical support. DOMStat collaborates with faculty and trainees throughout the health sciences on study design, data management and statistical analysis. We also work closely with investigators in drafting statistical sections for grant proposals, study protocols and research manuscripts.

We encourage you to consult with our statisticians early in your project, as this is when we can be most helpful in evaluating research designs and data collection plans. Our consultants can provide assistance in the following areas:

  • Study design and power analysis
  • Statistical analysis planning
  • Data collection planning
  • Database design and development
  • Data coordinating for clinical trials
  • Randomization lists and survey samples
  • Data management and quality control
  • Performing statistical analysis
  • Performing bioinformatic analysis
  • Results interpretation
  • Grant preparation
  • Protocol development
  • Manuscript writing
  • Responding to statistical reviewers

DOMStat offers a drop-in statistical consulting service supported by UCLA's Clinical and Translational Science Institute (CTSI).

***Note: Our consulting service is appointment-only until further notice. If you are interested in setting up a Zoom consultation, please contact us by e-mail or phone:

To contact one of our faculty or staff members directly, please visit the About Us page.

Job Opportunities
  • Student Assistant: The Student Assistant will provide secretarial and administrative support to the Department of Medicine Statistics Core. Major duties include data entry, scanning, filing, copying, and related clerical/office tasks. Experience with data management and statistical analysis preferred.