Recent content by hlsmith

I'll start by saying the isn't my content area - but yeah there has to be a name for the bias (name recognition). Kind of like companies calling themselves AAA games to get listed first. It seems like randomly ordering them and then use a/b testing. There are some new books on A/B testing. If I...

Not sure I am following, but wouldn't you just perform multiple Fisher's tests and correct alpha? However Fishers only provides a p value so effect estimates would be more informative!

I feel like there is an approach that uses cross-validation, but is usually called best subset. Perhaps just searching "best subset" may be fruitful.

Measles gets aerosolized and 95% people exposed to it - get it. It is scary contagious. Yeah, a person's risk falls under state space models - where a person moves through states - dynamically changing risk. See, SIR, SEIR,.., etc. models. Good point @fed2

Updated results related to delta variant: https://www.nejm.org/doi/full/10.1056/NEJMoa2108891

Yeah with triangle dist I think you put the min and max in. Also, with say ~N, you can just use the variance value to target a certain data range. You just need to find an example of get your feet wet!

@obh has a good point with comparing the risk of chronic sequela or death in unvaccinated vs. vaccinated individuals. That is what needs to be considered. Secondarily, say you don't get vaccinated, become infected with SARS-CoV-2 and infect other people that are more likely to have negative...

"Fist my bump!"

I bet your results help in proving chaos 'theory'. Just kidding, but at the end of chapter 23 there is a little twist in the book. It turns out Dr. Grace is actually the long lost brother of Mark Watney!

Yeah the UCLA articles and anything by Paul Allison are usually helpful as introductions. Correct that the interaction does not explain anything additional beyond change, conditional on your sample (which you state is large). The common approach is not to attempt to overly interpret the base...

Nah, just kidding. It was not a dream but a simulation!

I don' t think your model above includes an interaction term. Rating ~ Parent_Gender + Child_Gender + Parent_Gender*Child_Gender Yeah, I wouldn't use chi-sq either. Effect estimates with confidence intervals are much better!

Well this is my 10K post - so I thought I would use it to say that in the book Hail Mary by Andy Weir... THE WHOLE THING IS A DREAM spoiler alert @Dason

General comment - will the output be penalize to address false discovery related to the plethora of possible models explored? More over with such sparse data - your results will likely not generalize well outside of the sample even if cross-validation is used!

Have you all covered this in class yet? https://sphweb.bumc.bu.edu/otlt/mph-modules/bs/sas/sas6-categoricaldata/SAS6-CategoricalData2.html