黒木玄 (Gen Kuroki)
@genkuroki.bsky.social
Reposted by 黒木玄 (Gen Kuroki)
@xkcd.com again provides for your meta-science slides (link xkcd.com/3117). I do wish we'd stop talking about a "crisis", bc it's been here for generations. Ppl used to pipette by mouth ffs. Enrico Fermi won a Nobel prize for a false result. But that doesn't mean we can't do better going forward.
July 20, 2025 at 5:27 AM
@xkcd.com again provides for your meta-science slides (link xkcd.com/3117). I do wish we'd stop talking about a "crisis", bc it's been here for generations. Ppl used to pipette by mouth ffs. Enrico Fermi won a Nobel prize for a false result. But that doesn't mean we can't do better going forward.
Reposted by 黒木玄 (Gen Kuroki)
New blog post!
Let's say you have two measures meant to capture the same confounder. They're highly correlated. Can you still proceed with your regression analysis?
(I admit, the title is a bit of a spoiler)
www.the100.ci/2025/10/13/i...
Let's say you have two measures meant to capture the same confounder. They're highly correlated. Can you still proceed with your regression analysis?
(I admit, the title is a bit of a spoiler)
www.the100.ci/2025/10/13/i...
If you have two measures of the same confounder, you can just include both of them in your regression model
Sometimes, researchers worry about multicollinearity in situations where it’s actually a non-issue. Here’s one such scenario.
Imagine a situation where you are interested in the effect of X on Y (X...
www.the100.ci
October 13, 2025 at 1:14 PM
New blog post!
Let's say you have two measures meant to capture the same confounder. They're highly correlated. Can you still proceed with your regression analysis?
(I admit, the title is a bit of a spoiler)
www.the100.ci/2025/10/13/i...
Let's say you have two measures meant to capture the same confounder. They're highly correlated. Can you still proceed with your regression analysis?
(I admit, the title is a bit of a spoiler)
www.the100.ci/2025/10/13/i...
Reposted by 黒木玄 (Gen Kuroki)
While I was busy, @joachim.cidlab.com and @janhove.bsky.social already provided valid short answers. I wrote a bit more at statmodeling.stat.columbia.edu/2025/11/27/e...
Effective sample size | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
November 27, 2025 at 12:11 PM
While I was busy, @joachim.cidlab.com and @janhove.bsky.social already provided valid short answers. I wrote a bit more at statmodeling.stat.columbia.edu/2025/11/27/e...
Reposted by 黒木玄 (Gen Kuroki)
btw "number of effective samples" is wrong and misleading, and should be "the effective sample size"
November 25, 2025 at 2:03 PM
btw "number of effective samples" is wrong and misleading, and should be "the effective sample size"
Reposted by 黒木玄 (Gen Kuroki)
Effective sample size
statmodeling.stat.columbia.edu/2025/11/27/e...
statmodeling.stat.columbia.edu/2025/11/27/e...
Effective sample size | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
November 27, 2025 at 12:53 PM
Effective sample size
statmodeling.stat.columbia.edu/2025/11/27/e...
statmodeling.stat.columbia.edu/2025/11/27/e...