With collaborations with various cores and centers, we support quantitative talks in the seminars.
This is an archive of past course. If you are interested in learning more about future short courses, please contact us.
Seminars
Institute for Translational Sciences - Request for Applications
Funding Opportunity: Collaborative Pilot Projects
University of Texas Medical Branch and Texas Southern University
REQUEST FOR APPLICATIONS
Applications Due: February 3, 2023
Award Period: April 1, 2023 – March 31, 2024
The Institute for Translational Sciences at The University of Texas Medical Branch at Galveston (UTMB) and the College of Pharmacy and Health Sciences at Texas Southern University (TSU) have partnered to solicit applications that will provide pilot funding for new joint projects addressing a roadblock in translational science. Both TSU and UTMB have unique strengths and expertise that complement each other, creating opportunities for successful collaborative research. These awards will provide funding and expertise to address challenges commonly found in patients from Southeast Texas that impact overall health and well-being.
Up to two awards ($15,000-$30,000 each) are available to support investigator-initiated studies. The primary goal is to use pilot funds in order to catalyze larger, extramurally funded joint collaborative projects. Priority will be given to projects that propose innovative solutions to address health disparities, public health emergency preparedness, improve safety and effectiveness, and removal of barriers to advance clinical translational research. More specifically, the proposed joint projects should address a translational research question in a particular disease or intervention development/dissemination context and provide generalizable solutions that can be applied to other translational research projects. Projects can include in vitro, in silico, animal studies, and clinical studies. The proposed project must be for a new pilot study and therefore must differentiate from existing funding.
Who should apply?
This is a collaborative project that must include Co-PIs from UTMB and TSU. Any faculty from either institution can apply. Only one application can be submitted from the same Co-PI. Priority will be given to projects that have previously established working relationships, e.g., collaborative teams from UTMB and TSU with a track record on specific projects and accomplishments.
What support is provided?
Up to one year of funding with no carryforward. Pre-award costs and faculty salaries are not allowed.
What are the application requirements?
Apply by submitting a single PDF containing the elements in the Application Checklist to ebruiz@utmb.edu no later than 5:00 p.m. on Friday, February 3, 2023. Late and/or incomplete applications and applications not following the specified format will not be reviewed. Documentation of requisite approval for animal (IACUC) and clinical (IRB) study protocols as well as proof of IACUC/CITI training completion for all team members is required.
FULL RFA WITH APPLICATION CHECKLIST FOUND HERE: https://utmb.us/7g2.
Questions? Email ctsa@utmb.edu for assistance.
Event Information
Event Contacts
Biostatistics and Data Science - Short Course Series Archive
With collaborations with various departments and education programs across UTMB schooled, we provide biostatistics & data science short courses.
We are excited to launch our new Biostatistics and Data Science - Short Course Series!
Below you will find helpful and need-to-know information. If you need assistance at any time, please do not hesitate to contact Monica Cline via email or phone (409) 772-6355.
Course Schedule:
- Tuesdays and Thursdays
- 6:30 PM - 8:00 PM
- Fall 2023 - Spring 2024
Short Courses:
Mini Session of R Software Training (Dr. Wang)
Dates: August 29, 2023 – August 31, 2023
Introduction to Linear Models (Dr. Yu)
Dates: September 5, 2023 – October 3, 2023
This course introduces the most common statistical models used in data analysis, which model the relationship between a continuous outcome and one or more explanatory variables.
Categorical Data Analysis (Dr. Chakraborty)
Dates: October 5, 2023 – November 2, 2023
This course surveys theory and methods for the analysis of categorical response data. Students will learn the basics of chi-square tests and logistic regression.
Survival Analysis (Dr. Kuo)
Dates: November 7-16, 2023 & November 28, 2023 – December 14, 2023
This course introduces fundamental concepts in survival analysis and the statistical methods which are useful in medical follow-up studies for time-to-event outcomes. The following topics are included in this course: censoring, truncation, hazard and survival functions, Kaplan-Meier estimator, log-rank tests, Cox proportional hazards model.
Machine Learning (Dr. Wang)
Dates: January 9, 2024 -February 8, 2024
This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction. Algorithms covered include Classification and Regression Trees, Random Forests, Gradient Boosted Trees, Support Vector Machines, and Multivariate Adaptive Regression Splines.
Introduction to Big Data Visual Analytics (Dr. Bhavnani)
Dates: February 13, 2024 – March 7, 2024 & March 19-21, 2024
This course provides the theoretical foundations and practical methods related to visual analytics focused on the analysis and interpretation of large and complex biomedical datasets (e.g., genomic data, and electronic health records). The theoretical foundations will focus on principles related to cognition, computation, and graphic design. The practical methods will focus on using commercial applications and research prototypes which integrate machine learning with visual analytics.
Introduction to Public Health Informatics (Dr. Amith)
Dates: March 26, 2024 – April 25, 2024
The course is designed to be an overview of major topics related to this interdisciplinary field that combines various sub-fields in public health, and the application of sub-topics from the computer and information sciences. Topics will include introduction to aspects of information theories, exposure to applied methods and tools in informatics, ethics and standards, and an overview of sub-fields within public health informatics (public health informatics, consumer informatics, geographic informatics, etc.).
Additional Information:
All assignments and recordings will be located on Blackboard. Zoom links will be sent for you to be able to attend live lectures. As we would like you to attend 100% of all live lectures, you must attend at least 50% of live lectures. For the lectures which you cannot attend, there is requirement to view the recorded lectures. We are requesting that when attending the live sessions that you enter your name into the chat section, so that we can make sure you are counted for your attendance. Every section will have homework that requires 100% participation. Engagement in the classroom discussion is anticipated.
Payments:
- Fall semester must be paid in full by September 9, 2023.
- Spring semester must be paid in full by January 16, 2024.
Other Short Courses:
Introduction to Biostatistics for Clinicians (Dr. Villasante-Tezanos)
Dates: April 11, 2025 and May 9, 2025
Three lecture series where clinicians were shown basic concepts of Research Study Design, Power Analysis and basic Statistical Testing techniques. With applications and examples applicable to their field and expertise.
Introduction to Biostatistics for Medical Students (Dr. Villasante-Tezanos)
Dates: November 22, 2024 and December 6, 2024
Two lecture series where students were shown basic concepts of Research Study Design and basic Statistical Testing techniques. With applications and examples applicable to their field and expertise.