Isabella Gollini

New paper with @albertocaimo.bsky.social on "Separable models for dynamic signed #networks"!
Let's have a chat about it at #Sunbelt2025 in Paris @insna.bsky.social

Great to be back at my alma mater in Genoa! Together with @isabellagollini.bsky.social, I'm giving a short course on Statistical Analysis of Complex Networks. Thanks to Eva Riccomagno and the Department of Maths for the warm welcome!

◆ Bergm workshop at #Insna #Sunbelt 2025◆ #rstat #Bayesian #statistical #networkanalysis

Plot showing respondent demographic proportions compared to national proportions, overlaid on variable-specific regions of practical equivalence (ROPEs)

Table showing sample characteristics compared to nationally representative Current Population Survey (CPS) estimates, with probability that the sample is equivalent to the national proportion

Also, it’s important to check the variable details to check for availability. While basic demographic variables like age, sex, marital status, etc. are available in both the monthly surveys and in the annual ASEC, more specialized variables are not. Variables related to philanthropy and volunteering are only available in September (since they’re part of a special CPS Volunteer Supplement), and only in some years: [Screenshot from the IPUMS website showing the availability of the volunteer status CPS variable]

Contents for the post Nationally representative demographic data Accessing US Census data ACS CPS (and others!) Getting started Getting CPS data from the IPUMS website Finding variables Selecting samples Downloading the data More reproducible alternative: using the IPUMS API Loading CPS data Summarizing CPS data Weighting Calculating population-level proportions Summarizing sample proportions Testing sample vs. population proportions frequentist-ly One-sample proportion test for age One-sample proportion test for volunteering Proportion tests and differences for everything all at once Testing sample vs. population proportions Bayesian-ly ew null hypothesis significance testing Modeling proportions with a binomial distribution Working with the posterior The region of practical equivalence (ROPE) Bayesian proportion test for volunteering Posterior proportions, differences, and ROPEs for everything all at once

New blog post! Here's an #rstats guide for how to (1) get CPS data from IPUMS and (2) compare sample and population proportions both frequentistly and Bayesianly with {brms} (with ROPEs!), and (3) make pretty plots and tables #econsky #polisky #dataskyence www.andrewheiss.com/blog/2025/01...

In case you ever wondered about the differences between magrittr pipe and base pipe 🤔

This table is taken from a great stackoverflow answer by @GeorgKindermann

stackoverflow.com/questions/67...

#rstats #dataviz #phd

Screenshot from webpage in post. It shows two interactive statistics questions created with {exams2forms}

Embedding R/exams Exercises as Forms in R/Markdown or Quarto Documents
www.r-exams.org/tutorials/ex... #rstats This is pretty neat and something I should really explore for one of my courses.