Data Studio

We foster dialogue between data scientists and researchers in clinics and laboratories in order to drive excellence in health care research at Stanford.

About the 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. The Data Studio is open to the Stanford community engaged in biomedical research. We expect it to have educational value for students and postdocs interested in biomedical data science. The Data Studio features DBDS faculty and staff who offer the following services: workshops, office hours, and one-to-one consultations. When you complete the Data Studio request form, our coordinator and consultants will work with you to choose the right service for your research project.

Workshops 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 Workshop, the researcher explains the project, goals, and needs. Experts in the related topic from 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 each PI with a data scientist for long-term collaboration.

Office Hours are brief consultations for Medical School researchers during the last session of each month. DBDS faculty are available to advise about your research questions. Consult the schedule below to complete the Office Hour registration form. Once you have registered, you will receive a calendar invitation with the date, time, and location of the session. Bring any data, prior analyses, or other materials that you have. Our consultants may even recommend your project for a Workshop if it is appropriate.

One-to-one consultations for Medical School researchers are available year-round. Our facilitator assigns each request to a data scientist with the relevant expertise.


General questions about statistical issues may be brought to the STAT390 Consulting Workshop. This is a class offered by the Department of Statistics during each academic quarter that is staffed by graduate students and directed by a faculty instructor. The service typically consists of a single meeting with the researcher to address a specific concern, such as planning of experiments and data analysis. Appointments may be requested by completing the required form. For more information, consult the STAT390 Consulting Workshop web page.

Researchers who are members of the Stanford Cancer Institute (SCI) conducting research projects related to cancer may request assistance from the SCI Biostatistics Shared Resource.


The Data Studio is held each Wednesday from 1:30 until 3:00pm during the fall, winter, and spring quarters of the academic year. Consult the schedule below for the location of each session. Students may participate by enrolling in BIODS 232 for an introduction to the art of statistical consultation and practicum working on projects with a biomedical researcher. All are welcome to attend. Click here to sign up for our mailing list.

Currently scheduled topics are listed below, followed by links to topics and summaries from previous quarters.

Fall 2022

DATE: Wednesday, 5 October 2022

TIME: 1:30–3:00 PM

TITLE: Intraoperative Ketamine Versus Saline in Depressed Patients Undergoing Anesthesia for Non-Cardiac Surgery


Theresa Lii (1)

Boris Heifets (1)

(1) Anesthesiology, Perioperative, and Pain Medicine

LOCATION: Conference Room X303, Medical School Office Building, 1265 Welch Road, Stanford, CA



The Data Studio Workshop brings together a biomedical investigator with a group of experts for an in-depth session to solicit advice about statistical and study design issues that arise while planning or conducting a research project. This week, the investigator(s) will discuss the following project with the group.

This is a single-site, double-blinded RCT to evaluate the antidepressant superiority of IV ketamine compared to placebo, when administered during surgery (while under anesthesia) to adult patients with symptomatic major depressive disorder.

Participants were randomly allocated in a 1:1 ratio to one of two groups: the intervention group (n=20) received a single administration of IV ketamine during surgery; the placebo group (n=20) received IV saline during surgery. The study drug was given after anesthetic induction to ensure participant blinding. Healthcare providers, investigators, and outcomes assessors were also blinded.

Our primary outcome measure is the Montgomery-Asberg Depression Rating Scale (MADRS), which is widely used in depression trials. Baseline MADRS scores were obtained during screening and immediately prior to surgery. MADRS scores were also collected on postoperative days 1, 2, 3, 5, 7, and 14. Secondary outcomes include the Hospital Anxiety and Depression Scale (HADS), pain scores, opioid use, and hospital length of stay.

Our pre-specified analysis method uses linear mixed modeling (specifically MMRM) using the following timepoints: day 0 (baseline), and postoperative days 1, 2 and 3.


This study has completed enrollment, randomization, and collection of all pre-specified outcomes.

  1. Are the linear mixed model parameters we chose appropriate for our data? (e.g. random intercepts, random slopes, interaction term)
  2. Is an unstructured covariance structure appropriate for our data?
  3. Does our interpretation of the linear mixed model results make sense?


Join from PC, Mac, Linux, iOS or Android:

  Password: 131369

Or iPhone one-tap (US Toll):

  +18333021536,,92650097177# or


Or Telephone:

    Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or

          +1 833 302 1536 (US, Canada, Caribbean Toll Free)


    Meeting ID: 926 5009 7177

    Password: 131369

    International numbers available:

    Meeting ID: 926 5009 7177

    Password: 131369



TITLE: Data Studio Office Hour

DATE: Wednesday, 28 September 2022

TIME: 1:30–3:00 PM

LOCATION: Conference Room X303, Medical School Office Building, 1265 Welch Road, Stanford, CA



The Data Studio Office Hour brings together a series of biomedical investigators with a group of experts for brief individualized sessions to solicit advice about a statistical and study design issue that arises while planning or conducting a research project.

This week, Data Studio holds office hours for your data science needs. Biomedical Data Science faculty are available to provide assistance with your research questions. If you need help with bioinformatics software and pipelines, check out the Computational Services and Bioinformatics Facility ( and the Genetics Bioinformatics Service Center (

Reserve a Data Studio Office Hour session by completing the Registration Form. Sessions are at about 30 minutes long but might be extended at the discretion of the coordinator. If you register for a session, please be present at the start time on Wednesday.

If you are not able to register for a session, you are welcome to complete our Data Studio Consultation services form for a free one-hour meeting with one of our statisticians. You will find a link to the Consultation services form on our Data Studio web page (


Join from PC, Mac, Linux, iOS or Android:

Password: 131369

Or iPhone one-tap (US Toll): +18333021536,,92650097177# or +16507249799,,92650097177#

Or Telephone:

    Dial: +1 650 724 9799 (US, Canada, Caribbean Toll) or +1 833 302 1536 (US, Canada, Caribbean Toll Free)


    Meeting ID: 926 5009 7177

    Password: 131369

    Meeting ID: 926 5009 7177

    Password: 131369


   Password: 131369

DBDS on Diversity

We are committed to our historical and ongoing mission to use biomedical data science to improve human health. A cornerstone of this mission is diversity, reflected in embracing a breadth of complementary research interests, research styles, and a diverse and inclusive community. DBDS recognizes that we have significant work to do in shaping our future as we work towards achieving justice, equity, diversity and inclusion throughout our work and operations, our research and activities, and our professional relationships and partnerships.

Stanford's Land Acknowledgment Statement

Stanford sits on the ancestral land of the Muwekma Ohlone Tribe. This land was and continues to be of great importance to the Ohlone people. Consistent with our values of community and inclusion, we have a responsibility to acknowledge, honor, and make visible the University’s relationship to Native peoples.

This acknowledgment has been developed in collaboration with the Muwekma Ohlone Tribe.