[UCR_DataScience] REMINDER: Data Science talk by Prof. Esra Kurum, tomorrow Friday May 27th, 12-1pm, MRB Seminar Room

tsotras at cs.ucr.edu tsotras at cs.ucr.edu
Thu May 26 06:42:14 PDT 2022


Reminder about the Data Science Seminar by Prof. Esra Kurum, tomorrow
Friday at noon.
Please register using the link below if you plan to attend.

V. Tsotras

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> The next Data Science talk will be on Friday May 27th, 2022, from
> 12:00-1:00pm at the MRB Seminar Room (1st floor).
>
> **** Pizza and refreshments will be provided ****
>
> To keep track of the number of attendees, please *register* at:
> https://www.eventbrite.com/e/data-science-talk-tickets-346339168777
>
> The talk will be given by Prof. Esra Kurum, Department of Statistics, UCR
>
> Title: A Bayesian multilevel time-varying framework for joint modeling of
> hospitalization and survival in patients on dialysis.
>
> Abstract:
>
> Over 782,000 individuals in the U.S. have end-stage kidney disease with
> about 72% of patients on dialysis, a life-sustaining treatment. Dialysis
> patients experience high mortality and frequent hospitalizations, at about
> twice per year. These poor outcomes are exacerbated at key time periods,
> such as the fragile period after transition to dialysis. In order to study
> the time-varying effects of modifiable patient and dialysis facility risk
> factors on hospitalization and mortality, we propose a novel Bayesian
> multilevel time-varying joint model. Efficient estimation and inference is
> achieved within the Bayesian framework using Markov Chain Monte Carlo,
> where multilevel (patient- and dialysis facility-level) varying
> coefficient functions are targeted via Bayesian P-splines. Applications to
> the United States Renal Data System, a national database which contains
> data on nearly all patients on dialysis in the U.S., highlight significant
> time-varying effects of patient- and facility-level risk factors on
> hospitalization risk and mortality. Finite sample performance of the
> proposed methodology is studied through simulations.
>
>
> ------------------------------------
> Sponsored by the UCR Data Science Center, the purpose of the Data  Science
> talks is to foster collaborations between "core" Data Science  faculty
> (from CSE/ECE/Stat Departments) and faculty/visitors from other  sciences
> that face Data Science problems in their research. These  informal
> gatherings are open to interested faculty and graduate students. Each
> meeting will start with a talk describing research problems and then a
> discussion will follow for questions, open problems, ideas for possible
> collaborations etc.
>
> A full list of previous seminars appears at:
> http://datascience.ucr.edu/news
>
> Please forward this email to other colleagues or graduate students in your
> lab that may be interested.
>
> Moreover, if you are interested in giving a Data Science related talk,
> please contact me.
>
> Sincerely,
> Vassilis Tsotras
> Professor, CSE Department
> Director, Data Science Major
>




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