[ds-undergrads] Data Science talk by Prof. Esra Kurum, Friday May 27th, 12-1pm, MRB Seminar Room

[tsotras at cs.ucr.edu]

Dear DS majors,
please find below info about the next Data Science seminar, given by one
of our program's faculty, Prof. Esra Kurum.
Everyone is welcome to attend; please register using the link below.

best,
V. Tsotras



---------------------------- Original Message ----------------------------
Subject: [UCR_DataScience] Data Science talk by Prof. Esra Kurum, Friday
May 27th, 12-1pm, MRB Seminar Room
From:    tsotras at cs.ucr.edu
Date:    Mon, May 23, 2022 12:44 pm
To:      datascience at lists.ucr.edu
--------------------------------------------------------------------------

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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