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[farmshare-discuss] R workshop: Friday, 9 June, Alway Building - please RSVP

Alex Chekholko chekh at stanford.edu
Fri Jun 2 12:23:35 PDT 2017


stripped-text: Please announce to relevant communities.

------------------------------ From Prof Daniel Ruben -------------

We would like to invite you to participate in the upcoming workshop on 
introducing data science and advanced statistical modeling into the 
daily decision processes of clinical operations. Please click on the 
following link by Friday, 2 June, to let us know whether you will attend.
Follow this link to let us know whether you will attend:
Take the 
Survey<https://stanforduniversity.qualtrics.com/jfe/form/SV_d5Be2pc7YjjcDkN?Q_DL=dmqSvI3Xxbe4dpP_d5Be2pc7YjjcDkN_MLRP_9FUUy3lZWn7vj2R&Q_CHL=email>

Or copy and paste the URL below into your internet browser:
https://stanforduniversity.qualtrics.com/jfe/form/SV_d5Be2pc7YjjcDkN?Q_DL=dmqSvI3Xxbe4dpP_d5Be2pc7YjjcDkN_MLRP_9FUUy3lZWn7vj2R&Q_CHL=email

Purpose
As precision medicine progresses, algorithms and models developed by 
Stanford statisticians and data scientists can be packaged in 
reproducible workflows and shared via interactive reports that would be 
accessible to clinical decision makers. Software tools based on the open 
source R language now exist, and are partially in place, to enable 
predictive analytics to inform clinical operations at the Stanford 
hospitals on a daily basis. In this workshop, we will describe the 
concepts and the tools underlying an R-based predictive analytics system 
and discuss how it could be deployed to solve research, analytical, 
informatics, and operational problems in the Stanford School of Medicine 
and Stanford hospitals.

Date-Time-Location
The workshop will be held on Friday, 9 June, from 8:00 AM until 12:00 PM 
in Room M112, Alway 
Building<https://proxy.qualtrics.com/proxy/?url=https%3A%2F%2Fwww.google.com%2Fmaps%2Fplace%2FAlway%2BBuilding%2F%4037.4322345%2C-122.1770936%2C17z%2Fdata%3D%213m1%214b1%214m12%211m6%213m5%211s0x808fa4d335c3be37%3A0x9057931f3b312c29%212sAlway%2BBuilding%218m2%213d37.4322345%214d-122.1748996%213m4%211s0x808fa4d335c3be37%3A0x9057931f3b312c29%218m2%213d37.4322345%214d-122.1748996%3Fhl%3Den&token=yPX5lXbTpWy9xLBfQ4OYZSxwiwoyylhtBLA7dNJsewY%3D>.

Agenda

   *   8:00 - Registration and networking
   *   9:00 - Balasubramanian Narasimhan: Introductions and Kickoff
   *   9:15 - Robert Tibshirani: "Integrating Data Science into Hospital 
Operations."
      *   Prof. Tibshirani will present a new forecasting model he has 
developed with Drs. Sourabh Gombar and Tho Pham, and his graduate 
students, for predicting blood supply and describe what a 
data-science-based clinical decision workflow might look like.
   *   10:00 - Phil Bowsher: "An Overview of RStudio Products."
      *   Over several years, RStudio has developed a "tool chain" of 
software to support the development, deployment and sharing of 
statistical models implemented in the R Language. Phil will provide an 
overview of the RStudio tool chain stressing the built in capabilities 
to support reproducible research and reliable information sharing.
   *   10:30 - Coffee
   *   10:45 - Sean Lopp: "A Close Look At Shiny."
      *   RStudio's Shiny reactive programming system has become the 
standard for developing and deploying interactive R applications and 
statistical models. Sean will provide a peak under the covers and show 
examples of Shiny in action.
   *   11:15 - General Discussion
      *   We hope to facilitate a group discussion on the practical 
issues required to make the vision of data science informed clinical 
operations a reality.

-- 
Alex Chekholko chekh at stanford.edu 347-401-4860



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