"Bayesian Ordinal Regression for Crop Development and Disease Assessment" a slide deck by Dr Zhanglong Cao presented at Biometrics in the Bush Capital conference last November. A fresh look at analysing ordinal agronomic data. https://biometricsociety.org.au/conference2025/slides/Contributed/S5B3-Zhanglong%20Cao/S5B3-Zhanglong%20Cao.html#/title-slide #RStats #Statstodon #Bayesian #AgData #Biometry #Agriculture
Bayesian Ordinal Regression for Crop Development and Disease Assessment

If I collect some data for a new treatment, but don't collect a control group, can I use the data from an older study that has the control condition? If so, how would I integrate this into my analysis? and what is the name for this? historical control?

#statstodon #stats #research #bayesian

If I were to say that the primary benefit of randomization (and possibly blinding) is that it makes simple statistical models match the true data generating process quite well, would that be a provocative statement? Or would that be obvious? Is there a good reference for this line of reasoning?

#stats #statstodon #phil #philosophy #philsci #philscidon

#r and #statstodon people: do you have any resources for running sensitivity power analyses for mixed effects models? (e.g. for fixed samples to determine what is the smallest reliable detectable effect at a specific power level)

#power #stats #NHST

Great guide to thinking about the age-period-cohort problem by Julia Rohrer: https://osf.io/preprints/psyarxiv/8zmuv

#stats #statstodon

OSF

In the latest installment of "Statistical Ideas that Changed the World", son Ryan interviews father Rob Tibshirani, humor included.
https://www.youtube.com/watch?v=3rvl4KV41JE&list=PLt_pNkbycxqahVksaNnjz3M6759xHIZ-r&index=15
#RStats #statstodon #machineLearning
Interview with Rob Tibshirani on the Lasso

YouTube

🚨 New Substack Post - A secret third way: Likelihoodist statistics

I provide a quick tutorial on conducting research using the Likelihoodist approach. It's step-by-step + #R code

https://open.substack.com/pub/mzloteanu/p/a-secret-third-way-likelihoodist?r=3b457w&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

#substack #statistics #education #guide #science #research #statstodon #stats #tutorial

A secret third way: Likelihoodist statistics

A tutorial on designing and reporting experiments in the most objective framework

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#statstab #42 Bayes Factors in #brms

Thoughts: Bayes Factors are just the ratio of the height difference of two points on two lines, don't @ me! (seriously, that's how most packages commute it)

#rstats #jasp #bayesian #bayesfactors #SavageDickey #ResearchMethods #psychology #statstodon

https://mvuorre.github.io/posts/2017-03-21-bayes-factors-with-brms/

Matti’s homepage - Bayes Factors with brms

How to calculate Bayes Factors with the R package brms using the Savage-Dickey density ratio method.

Matti's homepage

#statstab #39 Permutation test for "sharp" vs "weak" null hyp

Thoughts: Perm/Rand tests have a different (often inappropriate) Null Hypothesis. The similarity in estimates to asymptomatic tests is misleading wrt their inference.

#permutation #nhst #statistics #statstodon #experiments

https://stats.stackexchange.com/questions/315891/permutation-tests-for-sharp-vs-weak-null-hypothesis

Permutation tests for sharp vs weak null hypothesis

Permutation tests provide an easy way to obtain well-calibrated tests for experimental (randomized) data for the sharp null of no treatment effect. The idea: In context where either only the treat...

Cross Validated