#statstab #387 Give Your Hypotheses Space!

Thoughts: "It’s tempting to throw a bunch of variables...into a model
...but proceed at your own caution!"

#Mbias #causalinference #collider #moderator #confounder #regression #r #DAG

https://brian-lookabaugh.github.io/website-brianlookabaugh/blog/2025/mutual-adjustment/

#statstab #383 Berkson's paradox

Thoughts: aka Berkson's bias, collider bias, or Berkson's fallacy. Important for interpreting conditional probabilities. Can produce counterintuitive patterns.

#paradox #collider #bias #inference #causalinference

https://en.m.wikipedia.org/wiki/Berkson's_paradox

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/

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

#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.

#DAGs #causalinference #guide #book #education #ebook

https://theeffectbook.net/ch-CausalDiagrams.html

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

The case for multiple UESDs and an application to migrant deaths in the Mediterranean Sea https://doi.org/10.1017/psrm.2025.17 #CausalInference Analyzing multiple, comparable unexpected events happening during survey data collection makes a lot of sense to assess patterns. In doing so, one has to follow 1/

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=93671