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STATCOM | Stats + Stories Episode 191

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Manage episode 294054346 series 1228032
Content provided by Stats + Stories and The Stats + Stories Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stats + Stories and The Stats + Stories Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Where are the best locations for food pantries? What are the patterns and use of a crisis call center? How can services be improved for the senior population of Wahtenaw County in Michigan? These questions share a common denominator, they represent data and analysis needs of community service organizations. Statistics in the service of the community is the focus of this episode of Stats and Stories with guests. Emily Morris and Tom Braun. Tom Braun is a Professor in the Department of Biostatistics and has been a faculty advisor for STATCOM for the past three years. Dr. Braun is an international expert in the design of Bayesian adaptive designs for oncology clinical trials, and he has more recently expanded his research into snSMART designs for clinical trials for rare diseases. Dr. Braun has collaborated with a variety of medical and public health investigators, including bone marrow transplantation, cancer of the mouth, breast, and lungs, periodontal disease, and development of anthrax vaccines. Tom also is an active member in University of Michigan committees working to address issues of incivility, rankism, and harassment in academia, and he also active in developing new pedagogy for teaching biostatistics and data science. Emily Morris is a PhD candidate in the Department of Biostatistics and former co-president of Statistics in the Community (STATCOM) at the University of Michigan. In addition to the leadership role, her involvement in STATCOM projects ranges from summarizing patterns in counseling visits at a local nonprofit to identifying optimal locations for mobile food pantries in Toledo. Her research primarily involves machine learning methods applied to brain imaging analysis.
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406 episodes

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STATCOM | Stats + Stories Episode 191

Stats + Stories

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Manage episode 294054346 series 1228032
Content provided by Stats + Stories and The Stats + Stories Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stats + Stories and The Stats + Stories Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Where are the best locations for food pantries? What are the patterns and use of a crisis call center? How can services be improved for the senior population of Wahtenaw County in Michigan? These questions share a common denominator, they represent data and analysis needs of community service organizations. Statistics in the service of the community is the focus of this episode of Stats and Stories with guests. Emily Morris and Tom Braun. Tom Braun is a Professor in the Department of Biostatistics and has been a faculty advisor for STATCOM for the past three years. Dr. Braun is an international expert in the design of Bayesian adaptive designs for oncology clinical trials, and he has more recently expanded his research into snSMART designs for clinical trials for rare diseases. Dr. Braun has collaborated with a variety of medical and public health investigators, including bone marrow transplantation, cancer of the mouth, breast, and lungs, periodontal disease, and development of anthrax vaccines. Tom also is an active member in University of Michigan committees working to address issues of incivility, rankism, and harassment in academia, and he also active in developing new pedagogy for teaching biostatistics and data science. Emily Morris is a PhD candidate in the Department of Biostatistics and former co-president of Statistics in the Community (STATCOM) at the University of Michigan. In addition to the leadership role, her involvement in STATCOM projects ranges from summarizing patterns in counseling visits at a local nonprofit to identifying optimal locations for mobile food pantries in Toledo. Her research primarily involves machine learning methods applied to brain imaging analysis.
  continue reading

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