Sign in

David Kahle

@dkahle.bsky.social
83 followers 98 following 4 posts

Computational statistician; #rstats dev; 3x girl dad

PostsRepliesMedia
David Kahle @dkahle.bsky.social · 29/08/2026
🚨 We're hiring! The Department of Statistical Science at Baylor University is searching for a tenure-track Assistant Professor. Come work with me and my brilliant colleagues in a warm, supportive environment! Apply 👉 apply.interfolio.com/186688 #Statistics #AcademicJobs #rstats
Marrs McLean Science Building at Baylor University, home of the Department of Statistical Science
1108
David Kahle @dkahle.bsky.social · 03/10/2025
"Mathematics is done by people. Mathematics is a cultural entity." - Bernd Sturmfels Wonderful quote. Simple, yet profound. youtu.be/1EryuvBLY80?...
youtu.be
Nonlinear algebra, Lecture 1: "Polynomials, Ideals, and Groebner Bases", by Bernd Sturmfels
YouTube video by mpiMathSci
010
David Kahle @dkahle.bsky.social · 17/09/2025
🚨 We’re hiring! 🚨 The Department of Statistical Science at Baylor University invites applications for a tenure-line faculty position. Applications close October 19, 2025. Apply/learn more here 👉 apply.interfolio.com/169878 Please share! #Statistics #AcademicJobs
apply.interfolio.com
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio
010
Reposted by David Kahle
Jeff Leek @jtleek.bsky.social · 06/08/2025
The highlight of my #jsm2025 talk was @hadley.nz roasting the panel with ChatGPT.😂 I also love that he talked about aspiring to kindness!
1366
Reposted by David Kahle
Richard D. Morey @richarddmorey.bsky.social · 08/08/2025
Paper drop, for anyone interested in #metascience, #statistics, or #metaanalysis! @clintin.bsky.social and I show in a new paper in JASA that the P-curve, a popular forensic meta-analysis method, has deeply undesirable statistical properties. www.tandfonline.com/doi/full/10.... 1/?
Cover page for the manuscript: Morey, R. D., & Davis-Stober, C. P. (2025). On the poor statistical properties of the P-curve meta-analytic procedure. Journal of the American Statistical Association, 1–19. https://doi.org/10.1080/01621459.2025.2544397Abstract for the paper: The P-curve (Simonsohn, Nelson, & Simmons, 2014; Simonsohn, Simmons, & Nelson, 2015) is a widely-used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of p values (e.g., Marden, 1985) across significant (p < .05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in p values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the P-curve tests.
17288121