Data Studio

The Data Studio is a collaboration between Spectrum (The Stanford Center for Clinical and Translational Research and Education) and the Department of Biomedical Data Science (DBDS). Its fundamental goal is to foster dialog between statisticians/data scientists and researchers in clinics and laboratories in order to drive excellence in health care research at Stanford. Data Studio is open to the Stanford community, and we expect it to have educational value for students and postdocs interested in biomedical data science.

Most sessions are an extensive and in-depth consultation for a Medical School researcher based on research questions, data, statistical models, and other material prepared by the researcher with the aid of our facilitator. During the Data Studio, the researcher explains the project, goals, and needs. Experts in the area across campus will be invited and contribute to the brainstorming. After the meeting, the facilitator will follow up, helping with immediate action items and summary of the discussion. Ultimately, we strive to pair up each PI with a data scientist for long term collaboration.

The last session of each month is devoted to drop-in consulting. DBDS faculty are available to provide assistance with your research questions. Bring any data, prior analyses, or other materials that you have. No advance notification is required, but you will reserve your place in the queue and help us prepare if you send a brief description of your project to Laurel Stell.

A Data Studio session may also be an informal, interactive presentation by a data scientist on a topic, such as advanced data visualization in R, the statistical properties of convolutional neural networks (CNN), etc.

Interested in discussing your study in a Data Studio?

If you are a Medical School investigator, clinical or laboratory, who is interested in participating in one of the in-depth consultations, please fill in the consultation request form.

Schedule

The Data Studio is held each Wednesday 1:30-3pm in MSOB x393 during fall, winter, and spring quarters.

Currently scheduled topics are listed below. Click here to sign up for our mailing list. 

DATE
INVESTIGATOR
PROJECT TITLE
4/4
 
NO DATA STUDIO THIS WEEK
4/11
Mark A Hlatky
Professor, Health Research and Policy & Medicine
Choosing initial statin dosage: design of clinical trial with subgroups
(Summary and background reading TBD)
4/18
Safwan Halabi (Radiology) and Nishith Khandwala (Computer Science)
Prospective Evaluation of Machine Learning Models for Radiology
(Summary and background reading)
4/25
Drop-in consulting
5/2
Laurel Stell
Research Associate
Biomedical Data Science
Analysis of Gene Expression Data From RNA-seq
(Summary and background reading)
5/9
Jin Long
Quantitative Sciences Unit
Analysis on Incomplete Longitudinal Data: A Discussion from a Randomized Clinical Trial on Bone Development
(Summary and background reading)
5/16
Manuel Rivas
Biomedical Data Science
From Genome Association to Clinical Trials
(Summary and background reading)
5/23
 
NO DATA STUDIO THIS WEEK
Data Studio will be attending the Big Data in Precision Health Converence
5/30
Drop-in consulting
6/6
Ivana Maric & Gary Shaw
Pediatrics
Analysis of Medications in Pregnancy Using Truven Dataset
(Summary and background reading)
6/13
 
DATA STUDIO IS ON VACATION
It will resume in the fall quarter.
Click here to request an individual consultation during the summer.