Join our workshop on Inference for non-probability samples with nonprobsvy package in R, which is a part of our workshops for Ukraine series!
Here’s some more info:
Title: Inference for non-probability samples with nonprobsvy package in R
Date: Thursday, January 8th, 18:00 – 20:00 CET (Rome, Berlin, Paris timezone)
Speaker: Maciej Beręsewicz, an R enthusiast, co-organiser of several R conferences including European R Users Meeting 2016, and an R developer. Currently employed as an assistant professor in the Department of Statistics, Poznan University of Economics and Business, and the head of the Centre for the Methodology of Population Studies at the Statistical Office in Poznan. Main research topics: non-probability samples, administrative data, and population size estimation.
Description: During the workshop, the following topics will be covered: 1) basic theory of inference for non-probability samples, 2) how to use population-level information as well as probability samples to correct selection bias using various ways (inverse probability weighting, mass imputation, and double robust approach), 3) how to use the nonprobsvy package to estimate population mean through case studies, 4) how to estimate uncertainty and report results in R. For more details, please see the following working paper: Chrostowski, Chlebicki & Beręsewicz, (2025). nonprobsvy–An R package for modern methods for non-probability surveys. arXiv preprint arXiv:2504.04255 (accepted to the Journal of Statistical Software).
Minimal registration fee: 20 euro (or 20 USD or 800 UAH)
Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registration
How can I register?
- Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.
- 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?
- Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!
- 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!