Survival Analysis with R and Python workshop

Posted on February 17, 2023 by Dariia Mykhailyshyna in R bloggers | 0 Comments

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Learn more about Survival Analysis and how to apply it both in R and in Python! Join our workshop on Survival Analysis with R and Python which is a part of our workshops for Ukraine series. 
Here’s some more info: 
Title: Survival Analysis with R and Python
Date: Thursday, March 16th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone) 
Speaker: Christopher Peters is the Principal Data Scientist and ninth employee at Zapier where the mission is to make automation work for everyone. For the last decade, he’s applied survival analysis in R and Python, along with statistics and econometrics to affect positive change for people. He learned many of his skills through self-study with friends as well as during his education at Louisiana State University where he completed his terminal degree, Masters of Applied Statistics. There he was privileged to be advised by reliability analysis giant, Professor Luis A. Escobar. His committee also included co-founder of Penalized B-splines and co-author of The Joys of P-Splines, Professor Brian Marx. As well as Emeritus Professor of Econometrics R. Carter Hill, co-author of Principles of Econometrics. Christopher was recently invited to review the book Statistical Methods for Reliability Data, 2nd Edition, co-authored by Distinguished Professor William Q. Meeker, Professor Luis A. Escobar, and Emeritus Associate Professor Francis G. Pascual. He also recently reviewed Telling Stories with Data by Assistant Professor Rohan Alexander. He loves being in nature and his interests lie in the interactions of technology and nature and span a wide variety of topics related to business, economics and causal inference. You can find him on Twitter at: @statwonk or at http://statwonk.com.
Description: How can we speed up growth? Bring about or prevent important events? Design technology and human processes for high-reliability? Survival Analysis (time-to-event) allows us to wisely answer these questions by allowing us to accurately and precisely allocate credibility among their possible answers. Our interest in future events is insatiable for many serious reasons. Through the benefit of systemization, we can use time-to-event analysis to better understand the possibilities of future events and how they can be reconfigured for the benefit of people and ourselves. Whether it’s causing or preventing important events, or just better understanding them, time-to-event analysis (aka survival or reliability analysis) affords us these abilities through the benefits of systemization. In this two hour workshop, I’ll give a gentle introduction to industrial and commercial application of time-to-event analysis technology in R and Python side-by-side. The workshop will focus on how you can best get started with these technologies and begin to answer these questions yourself on a deeper-level for the purpose of innovation. As part of that, I’ll share what I’ve learned over a decade of applying this high-technology in the SaaS software industry.
Minimal registration fee: 20 euro (or 20 USD or 750 UAH)


How can I register?

  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.
How can I sponsor a student?
  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

  • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.


If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).

You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.
Looking forward to seeing you during the workshop!



Survival Analysis with R and Python workshop was first posted on February 17, 2023 at 7:03 pm.
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