The UTMB MakerHealthSpace is hosting a "Solar Eclipse Watch Party."

Please meet promptly at the Maker HealthSpace at 1:00 PM and the group will walk together to view the eclipse that is set to have maximum visiblity at 1:18 PM.

We look forward to seeing you there!

August 23rd Session

2pm- ***This week’s “Time-Out” session will be in Jennie Sealy 9.926 Conference Room***

Presenter: Rebecca Castro, LCSW

Topic: "Breathe"

Overview: During this session, caregivers and families will receive relaxation techniques and tips to help relieve stress and reconnect with themselves.

Please encourage caregivers and family members to attend! 

"Time-Out “is a weekly educational/support session for caregivers and family members of UTMB patients, to support them in their adjustment and maintenance of their caregiving role.  These sessions will not be tied to a specific diagnosis- all caregivers and family members are welcome.  The hope is that these sessions will provide a chance for them to have “time out” to relieve some stress, have a little fun, build on care giving skills, decrease burnout and affirm that they are not alone in the role of caregiving.

These sessions are facilitated by UTMB students and staff and will occur every Wednesday at 2pm in Jennie Sealy 2.506A.  Sessions will last around 30 minutes and will address topics that falls into the following categories: Relaxation, Self-Care, Discharge Planning and Medical Topics.  

If you have questions or are interested in facilitating a session, please contact Savannah Parks at sjparks@utmb.eduor 409-266-7542

"Evaluating Paired Categorial Data When the Pairing is Lost"

Jonathan D. Mahnken, Ph.D.

Professor in Department of Biostatistics,

Director of the Data Management and Statistics Core,

University of Kansas

Thursday, August 24, 2017

12:00pm – 1:00 pm

1.104 Ewing Hall.

This seminar contributes to achieving one or more of the CTSA core competencies in the category of Statistical Approaches.

Abstract: We encountered a problem in which the experimental design for evaluation data called for the use of a paired data analysis, but the pairing between subjects was lost during the data collection procedure. Thus, we were presented with a data set consisting of pre- and post-intervention response measures on 2-dimensional ordinal affect grids, but with no way of determining the dependencies between our observed pre- and post-intervention values. We utilized a bootstrap approach to create a null hypothesized distribution for our test statistic, which we defined as the Euclidean distance between the center of mass from two affect grids (pre- and post-intervention). Using this test statistic we addressed whether a self-revelatory performance impacted perceptions of Alzheimer's disease. We rejected the null hypothesis and concluded that the intervention did influence perceptions about the disease; specifically the intervention resulted in more positive perceptions of Alzheimer’s disease.

*** Lunch Provided ***

Participating TRCC Institutions include: UTMB, UTHSC-Houston, UTHSC-San Antonio, and UT Southwestern