So far at this conference I have seen reports of true experiments, natural experiments, difference in difference analysis and regression discontinuity design - but no instrumental variable analysis
I wonder why?
I was hoping for the full set of causal inference methods
#statstab #367 Matching in R: Propensity Scores, Weighting (IPTW) and the Double Robust Estimator
Thoughts: A guide on common adjustments for observational studies.
#r #observational #iptw #matching #weights #doublerobust #guide #causalinference
https://www.franciscoyira.com/post/matching-in-r-3-propensity-score-iptw/
In the last part of this series about Matching estimators in R, we'll look at Propensity Scores as a way to solve covariate imbalance while handling the curse of dimensionality, and to how implement a Propensity Score estimator using the `twang` package in R. We'll also explore the importance of common support, the inverse probability weighting estimator (IPTW) and the double robust estimator, which combines a regression specification with a matching-based model in order to obtain a good estimate even when there is something wrong with one of the two underlying models.
What are people’s fave methods for this situation:
At t0, all units are untreated.
As time goes on, individual units are one by one selected for treatment, on an expert’s assessment of their potential improvement under treatment.
How to measure the treatment effect, either over all units or ideally the treatment effect on each unit?
Oh, for extra fun, they’re probably not independent
Registration is open for the GMDS ACADEMY 2025 (Hannover, October 20-23).
There will be three parallel workshops on meta analysis, causal inference and time-to-event analysis involving Wolfgang Viechtbauer (@wviechtb), Christian Röver, Sebastian Weber, Vanessa Didelez, Arthur Allignol, Oliver Kuß, Alexandra Strobel, Hannes Buchner, Xiaofei Liu and Ann-Kathrin Ozga.
See here for more details:
👉 https://www.gmds.de/fileadmin/user_upload/GMDS-Academy-2025.pdf
Causal inference feels like pretty much the most important topic one can think of in statistics or even for humanity in general. So why is the entire field dominated by just one or two people (obviously I'm referring to Judea Pearl and/or Donald Rubin)? It feels rather... cultish.
Can any folks in the field opine why it is so dominated by one or two individuals, compared to any other important area of research today?
#statstab #348 The Effect {book} - Causal Diagrams
Thoughts: At some point you'll need to learn about DAGs. Maybe this is the chapter you need.
Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks
University of Massachusetts Chan Medical School
Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.
See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=94702
Hello SFBA! I’ve been wistfully thinking of switching over here for a while and recent fosstodon choices gave me the push I needed. So #introduction time!
I’m from #SanFrancisco and moved back here after some wandering. Raising two kids and a dog. Working in tech (sigh) but on #sustainability at least.
Interested in and post about #CausalInference, #Statistics, #Politics, #Policy, #Climate, #Energy, #Dogs, #Crafting and #Parenting
Postdoc in Single-Cell Multi-Omic Gene Regulatory Networks
University of Massachusetts Chan Medical School
Join us to decode #GeneRegulatoryNetwork from #SingleCell multiomics with #CausalInference as a #postdoc! Quantitative bg needed.
See the full job description on jobRxiv: https://jobrxiv.org/job/university-of-massachusetts-chan-medica...
https://jobrxiv.org/job/university-of-massachusetts-chan-medical-school-27778-postdoc-in-single-cell-multi-omic-gene-regulatory-networks/?feed_id=94125
This looks great: Andrew Gelman (@statmodeling_bot ) would be joining Nancy Cartwright and Berna Devezer. Short idea talks, lots of panel discussion and Q&A.
Join us on April 25th to discuss RCTs, replications, and scientific inference.
https://sites.google.com/view/cepbi/talks-gatherings?authuser=0
Tom Stafford
Dr Mircea Zloteanu ☀️ 🌊🌴
MinmiTheDino
Christian Röver
मेंथी
jobRxiv
Martin Modrák