CIBR Center Data Clinics & Statistical Consultation


The data clinics help faculty, postdocs and students solve problematic scientific and computational issues that arise in their research. Our informal clinics are free and devoted to employing and sharing methods of data analysis; bringing together experts in statistics, image processing, sequence analysis, parallel computing and other computational fields with scientists producing large quantities of data that require computers to analyze.

The expectation is that when possible we will point out approaches to solutions or refer you to Baylor College of Medicine computational labs with the relevant expertise. All are welcome to drop in with a laptop, their data and questions.

Data Clinic Schedule

The Data Clinics for Fall 2024 will be held from 1-2 p.m. on the following dates:

  • Aug. 7, 2024
  • Aug. 21, 2024
  • Sept. 4, 2024
  • Sept. 18, 2024
  • Oct. 16, 2024
  • Oct. 30, 2024
  • Nov. 13, 2024

You will also find fliers posted at the first floor elevators throughout the Baylor campus one week prior to each Data Clinic session. Anyone throughout the Baylor/Texas Medical Center community is welcome to benefit from this service.


Need Statistical Advice?


Genevera I. Allen, Ph.D. is offering free drop-by statistical consulting for members of the NRI community. Advice in the following areas are offered:

  • Experimental Design
  • Statistical Inference and Multiple Testing
  • Statistical Modeling
  • Classification, Regression and Prediction
  • Interpretation of Data Analysis Results
  • Understanding Statistics in Biological / Medical Literature

Note: No calculations or data analysis will be performed.

When: Fridays 1 - 2 p.m.
Where: NRI Suite 1365.16.

Appointments are not needed during this period. This time frame is strictly enforced; requests for consultation for other time slots are considered on a case-by-case basis.

Preference is given to members of the NRI community, but members of the wider Baylor and Texas Children's Hospital family are welcome.