Silly me! Thanks so much! π
18.11.2025 10:43 β π 1 π 0 π¬ 0 π 0
Hi Richard, could you share an example of frequentists proving good properties of Bayesian estimators?
18.11.2025 05:38 β π 1 π 0 π¬ 1 π 0
For a step by step intro to poststratification, we cover it here (again, code-heavy; conceptual explanation in the book): theissbendixen.com/dag-book/cha...
14.11.2025 05:40 β π 1 π 0 π¬ 0 π 0
The Data Analystβs Guide to Cause and Effect
The is the companion website for The Data Analystβs Guide to Cause and Effect
We have an intro book on causal inference as part of Sage's QASS series coming out next year, so won't be of use for you right now, but the companion website (code-heavy) is live and might provide some inspiration
theissbendixen.com/dag-book/
13.11.2025 11:52 β π 7 π 0 π¬ 1 π 0
Seems analogous to how, in the missing data literature, reasonable folks recommend a complete case analysis alongside any fancy imputation? Can be useful to see what the adjustment is doing descriptively, or even in terms of broader sensitivity/robustness checks ("totality of evidence" and all that)
28.09.2025 05:14 β π 5 π 0 π¬ 0 π 0
Other applications of hierarchical models here for borrowing across different regions of the world.
cdn.who.int/media/docs/d...
29.08.2025 17:49 β π 1 π 1 π¬ 1 π 0
Sweet, thanks!
29.08.2025 18:27 β π 0 π 0 π¬ 0 π 0
Thanks!
28.08.2025 18:15 β π 0 π 0 π¬ 0 π 0
Don't remember having seen Dirichlet processes used this way, any chance you could point to a rationale and/or implementation? Thanks!
28.08.2025 14:57 β π 0 π 0 π¬ 1 π 0
Added a small section on tau
27.08.2025 08:04 β π 0 π 0 π¬ 0 π 0
Depends on the model, of course, but with a simple post ~ pre + treatment, I don't immediately see why you couldn't put an informative prior on pre (and/or treatment, given relevant data)?
26.08.2025 08:57 β π 1 π 0 π¬ 1 π 0
Sure, I think you could just borrow information for the controls on the raw scale?
26.08.2025 08:46 β π 1 π 0 π¬ 0 π 0
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25.08.2025 06:35 β π 0 π 0 π¬ 0 π 0
Possibly of interest to @rmcelreath.bsky.social @solomonkurz.bsky.social @dingdingpeng.the100.ci @ruben.the100.ci @chelseaparlett.bsky.social @phdemetri.bsky.social @stephenjwild.bsky.social @matti.vuorre.com @healthstatsdude.bsky.social @jonaslindeloev.bsky.social @andrew.heiss.phd
25.08.2025 06:35 β π 0 π 0 π¬ 1 π 0
"Being Bayesian in a Frequentist World"
New post on "Bayesian dynamic borrowing" in R π
Link π
25.08.2025 06:19 β π 10 π 2 π¬ 2 π 0
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