Next Meetup

Workshop on Survival Analysis
Venue Capacity: 30 people The capacity of the venue is about 30 people but because of no-shows, we have a policy of first-come, first-served on the night in the event of the room filling up. Managing no-shows is a problem all Meetups have to deal with and this is the fairest method we can think of. While we have never been in a position to turn anyone away for capacity reasons, it is always a possibility, so please arrive early to avoid disappointment on the night. We have the upstairs room booked from[masked] so if the room is in use till that time, we will gather in the bar below beforehand. https://github.com/kaybenleroll/dublin_r_workshops This workshop is contained in the ws_survival_201809/ folder This is the first workshop in what is likey to be of a three part series on survival analysis - a useful and often-overlooked statistical technique for modelling time-to-event data. Developed originally in medical statistics, there are widespread applications for these methods. As always, I will be using the statistical programming language R for this workshop, as R has a large range of packages useful for survival analysis. This first workshop will focus on the basics of survival analysis, including concepts such as truncated and censored data, hazard functions, and Kaplan-Meier estimates of cumulative survival time. *Please bring fully charged laptops and your own internet connectivity - tethering off a phone should be fine. Further details of software and libraries used will be provided closer to the time.*

Chaplins Bar

Hawkins St · Dublin

    Past Meetups (15)

    What we're about

    This is a meetup for all who are interested in data science and applied statistics.

    We'll cover:
    - Statistics
    - Machine Learning
    - Analytics
    Major languages used include SQL, R & Python, but we're always open to new tools.

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