What we're about

This group is for everybody interested in R, the programming language for statistical computing, data science, visualisation and reproducible reporting. Whether you are just learning R for the first time or are an expert R user, all are welcome.
We plan to meet the first Monday of every month to discuss R-related topics, exchange ideas and offer tips to new R users. Meetings are currently hosted in the Department of Statistics, Oxford.
Details of past talks are available on our website. You can also follow us on Twitter @rusersoxford.
Oxford R User Group follows the R Consortium and R Community code of conduct.

Upcoming events (2)

[TODAY] OxfordRUG November 2022 meetup | Causal inference in R

Department of Statistics, University of Oxford

!! Note: This event has been rescheduled to take place on Monday 28th November (a week later than originally planned)

For our November meetup, we are very excited to have Emma Vestesson giving a talk on "Using machine learning for causal inference in R"

Agenda:

6:00 pm: Talk "Using machine learning for causal inference in R" by Emma Vestesson

7:00 pm: Pizza!

Abstract:

In this talk I will demonstrate how machine learning can get us closer to answering the age old question of causation vs correlation. Machine learning might seem like it is all about prediction but with the right assumptions it can be a useful tool for causal inference. I will use the packages sl3 and tmle3 packages from the tlverse and take you through all the steps and code needed to estimate the average treatment effect using targeted maximum likelihood estimation.

Speaker bio:

Emma is a part-time PhD student at UCL Great Ormond Street Institute of Child Health. She is interested in using electronic health care records to measure and improve antimicrobial drug use in children. She is an organiser for R-ladies London and sits on the NHS-R community technical advisory group. Emma is also a senior data analyst at the Health Foundation where she works on quantitative evaluations of healthcare interventions.

Thanks to our sponsor:

Oxford RUG is thrilled to be sponsored by Ascent/Mango Solutions. Thanks to their generosity, there will be pizza after the talk.

[Today] OxfordRUG November 2022 meetup | Causal inference in R

Department of Statistics, University of Oxford

This is happening today:

On Monday 28th November, we are very excited to have Emma Vestesson giving a talk on "Using machine learning for causal inference in R"

Agenda:

6:00 pm: Talk "Using machine learning for causal inference in R" by Emma Vestesson

7:00 pm: Pizza!

Abstract:

In this talk I will demonstrate how machine learning can get us closer to answering the age old question of causation vs correlation. Machine learning might seem like it is all about prediction but with the right assumptions it can be a useful tool for causal inference. I will use the packages sl3 and tmle3 packages from the tlverse and take you through all the steps and code needed to estimate the average treatment effect using targeted maximum likelihood estimation.

Speaker bio:

Emma is a part-time PhD student at UCL Great Ormond Street Institute of Child Health. She is interested in using electronic health care records to measure and improve antimicrobial drug use in children. She is an organiser for R-ladies London and sits on the NHS-R community technical advisory group. Emma is also a senior data analyst at the Health Foundation where she works on quantitative evaluations of healthcare interventions.

Thanks to our sponsor:

Oxford RUG is thrilled to be sponsored by Ascent/Mango Solutions. Thanks to their generosity, there will be pizza after the talk.

Past events (28)

OxfordRUG October 2022 meetup | Quarto

Department of Statistics, University of Oxford

Photos (15)

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