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Researcher Resources

Biostatistics, Epidemiology and Research Design Services

The Biostatistics, Epidemiology and Research Design Program provides integrated services and biostatistical support. Services include (1) contemporary data analysis methodology consultation, implementation, and epidemiology expertise; (2) the best available clinical data management software; (3) study design assistance; and (4) bioinformatics/computational biology data analysis. See below for a list of services or view the flier.

Eligibility
Eligible individuals include faculty, clinical instructors, fellows, postdocs, students, research staff and residents. 

Drop-in Consulting

UCLA CTSI offers free biostatistical consults at UCLA, Lundquist/Harbor-UCLA and Cedars-Sinai. 

UCLA
No appointment necessary for drop-in consults
12-1 PM every Wednesday
& 1-3 PM every Friday
Location: 1100 Glendon Avenue, Suite 1820, Los Angeles, CA 90024
Email: domstat@mednet.ucla.edu
Website: http://domstat.med.ucla.edu
Phone: 310-794-3111, Fax: 310-794-8149 

Lundquist/Harbor-UCLA
Appointments preferred
Location: 1124 West Carson Street, Walter P Martin Research Center (RB-1), Rm. 248
Email: ypak@labiomed.org
Website: research.labiomed.org/biostat
Phone : 310-222-1874
Fax: 310-533-1874

Cedars-Sinai
Appointments preferred
Location: Pacific Theatres Building, 116 North Robertson Blvd. Suite 900C, Los Angeles, CA 90048
Email: angela.banks@cshs.org
Website: https://www.cedars-sinai.edu/Research/Research-Cores/Biostatistical-Sciences/
Phone : 310-248-8901
Fax: 310-423-4020

Program Services

Biostatistical Collaboration

  • Data analysis consultation
  • Epidemiological expertise
  • Survey research and practice
  • Survival analysis and adaptive clinical trials
  • Clinical-data-management consulting
  • Methodologies for community-based studies

Data Management

  • Pros and cons of data management options
  • REDCap

Grant Preparation

  • Study design and power analysis
  • Data analysis protocols
  • Career development (K series) applications

Computational Biology (Omics Data Analysis)

  • Microarray data analysis
  • Sequencing analysis (mRNA, miRNA, DNA, methylation)
  • Proteomics (mass-spec, Luminex)

Educational Programs

  • Short courses
  • Journal clubs
  • Grant writing
  • Bioinformatics