Joseph Bulbulia
@prof_joe_
Psych Prof Victoria University NZ | New Zealand Attitudes & Values Study| causal inference
This is 👍
How can we reform science? I have some ideas. But I am not sure you’ll like them, because they don’t promise much. elevanth.org/blog/2025/07/0…
I asked the AI for the least inspiring inspirational poster and I weirdly like it
London is famous for its garden squares, laid out by private developers in the eighteenth and nineteenth centuries. Why did they do this? A short thread.
I was often asked by practitioners about power calculations for causal inference with observational data, a hard problem with little leads. Finally had a clean solution, thanks to my spectacular student Bo Liu. Here it is: arxiv.org/abs/2501.11181 cran.r-project.org/web/packages/P…
1/ That "immortal time" is so frequent in survival analyses for #causalinference is fascinating. Because "immortal time" doesn't exist in the data, *we* create it when misanalyzing data. Our paper pubmed.ncbi.nlm.nih.gov/39494894/ summarizes why immortal time arises & how to prevent it.
Using three waves of national panel data, we estimate well-defined causal effects of religious service attendance on charitable giving among New Zealanders and also include measures of help received: journals.sagepub.com/doi/10.1177/00…
Causal Directed Acyclic Graphs (DAGs) are like chainsaws: used well, they slice through heavy tasks; used poorly, and you might lose a limb. Here's the first of four tutorials in @Journal_EHS for human scientists new to causal inference: cambridge.org/core/journals/… Tips: -…
Okay this is fun; a paper by @RmusciPHD and me is used as a citation for the definition of a causal effect in the new NIH/FDA glossary of terms for clinical research! fda.gov/media/178477/d…
do you guys know that you can *design* experiments with TMLE/DML/etc. in mind for the analysis? Here's the power calculation. Smaller sample size for free if you can guess how much your R2 will go down with ML adjustment. degruyter.com/document/doi/1…
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We don't publish quickly. It's a feature, not a bug. I don't really fear getting scooped cuz we always do deep and intricate analyses that are appreciated by the community & provide value, thereby differentiating our contributions from similar work.
Reporting effect sizes without causal effects is like reporting the height of an imaginary friend — we distract ourselves from the fiction.
New paper and software alert! arxiv.org/abs/2408.14620 Interested in modern mediation analysis methods with machine learning and multivariate mediators? Take a look at this joint work with Richard Liu, @nickWillyamz , and @kara_rudolph Short 🧵...
It’s good to know that it is actually possible to install Python. I’ve never succeeded (that I can confirm). Any compelling reasons to stop doing stuff in R, my muttersprache?
I really like this. I’m decent at Python but R is still the language I feel most comfortable with, so this made some concepts a little more crystallized for me via analogy to R. I think it’s a great resource for people who started with R rebeccabarter.com/blog/2023-09-1…
The side of planet Earth we are used to seeing 🙃🙂: pulotu.com
The side of planet Earth we aren't used to seeing.