BIOSTATISTICS SERVICES

Introduction

The Semel Institute Biostatistics Core (SIStat) is a team of expert biostatisticians, methodologists, and research support professionals dedicated to advancing research quality, rigor, and productivity across UCLA. Our mission is to help investigators design scientifically sound studies, secure independent funding, and conduct accurate and meaningful data analyses.
SIStat provides complimentary grant development support to faculty within the Semel Institute and across UCLA, including:

  • Study design consultation
  • Statistical methodology guidance
  • Power and sample size analyses
  • Pilot data analysis and evaluation
  • Statistical sections for grant applications
Support for funded projects is tailored to the needs of individual investigators and research programs. Faculty and staff affiliated with eligible projects may access SIStat's expertise in statistical consultation, data analysis, and programming support. In addition, the Core offers post-award assistance with final data cleaning, analysis, and long-term data archiving. Beyond its core services, SIStat provides fee-based statistical consulting and analytic support for funded research projects. The Core also contributes to the educational mission of UCLA by offering training and mentorship in biostatistics, research methods, and data science for faculty, staff, trainees, and students.


Services

Study Design and Methodological Consultation

  • Research design development
  • Statistical analysis planning
  • Protocol and methodology review
  • Power and sample size determination

Grant Development Support

  • Statistical consultation for grant proposals
  • Pilot data analysis
  • Preparation of statistical and analytic sections
  • Collaboration on extramural funding applications

Data Analysis and Programming

  • Descriptive and inferential statistical analysis
  • Longitudinal and repeated-measures analysis
  • Clinical trial and observational study analysis
  • Database management and statistical programming
  • Reproducible research workflows

Post-Award Support

  • Data quality assessment and cleaning
  • Final analyses and reporting
  • Preparation of publication-ready results
  • Long-term data archiving and documentation

Education and Training

  • Workshops in statistics and research methods
  • Individual consultation and mentoring
  • Support for faculty, staff, fellows, residents, and students

↑