agrogan

Data visualization with #Stata, an updated link: https://agrogan1.github.io/posts/data-visualization-with-Stata/

A thread on #interactions and #moderation.

“Be Less Wrong”, the importance of multivariate, quantitative thinking, especially when thinking about treatments, programs, and interventions for social issues: https://globalfamilies.quarto.pub/be-less-wrong/

#closeread

#quarto

I experimented with using the new #closeread (https://closeread.dev/gallery/) extension for #Quarto to share the results of an article we published last year on parenting and child development in 60 countries: https://globalfamilies.quarto.pub/parenting/

I've updated the #multilevel models in https://agrogan1.github.io/multilevel-multilingual/. The results are much closer, but not yet equivalent, now that all software is estimating uncorrelated random effects, rather than some software estimating correlated random effects and other software estimating uncorrelated random effects. #rstats #Stata #julialang

#Stata question about #margins. Cross-posted at https://www.statalist.org/forums/forum/general-stata-discussion/general/1752205-margins-after-melogit-statistically-different-but-point-estimate-of-one-margin-inside-confidence-interval-of-another

As described at the above link, I am estimating `margins` (predicted probabilities) of a #multilevel #logistic regression. I am finding that in some cases the point estimate of one group is inside the confidence interval of the other group, but a test nonetheless indicates a statistically significant difference between the two groups. Any insights on this seeming paradox would be appreciated.

Hello Everyone! I have been experimenting with using #Quarto to call #julialang to run #multilevel models with #MixedModels. Unfortunately, my document is taking about 10-15 minutes to render with small data sets. I've found it difficult to understand the #julialang documentation on this issue, so would appreciate any "Explain to me like I'm 5" explanations of how to speed up #julialang. Code is here: https://agrogan1.github.io/multilevel-multilingual/. I am grateful for #julialang, just wish I could figure out the speed.

Our research on #parenting and #childdevelopment was featured at https://popresearchcenters.org/research-highlights/is-your-child-misbehaving-try-reasoning-with-them/ #stopviolence

We've published a #multilevel #Bayesian analysis of positive and negative parental discipline and child outcomes in 60 Low and Middle Income Countries. Article: https://bmjopen.bmj.com/content/13/10/e058439. ArcGIS Storymap: https://arcg.is/1OSzvG0

I have written a book draft of an introduction to #multilevel modeling, entitled #Multilevel Thinking: https://agrogan1.github.io/multilevel-thinking/. Comments, questions and corrections are appreciated, as are suggestions for a possible publisher.

While applicable to many different software programs, the book is currently centered around the use of #Stata, but I hope to extend it to use of #rstats (#lme4) and #julialang

This tutorial builds on ideas in my draft book #Multilevel Thinking: https://agrogan1.github.io/multilevel-thinking/ .