Explore >> Select a destination
|
You are here 
|
www.karsdorp.io | ||
| | | | |
www.rdatagen.net
|
|
| | | | | I was thinking a lot about proportional-odds cumulative logit models last fall while designing a study to evaluate an intervention's effect on meat consumption. After a fairly extensive pilot study, we had determined that participants can have quite a difficult time recalling precise quantities of meat consumption, so we were forced to move to a categorical response. (This was somewhat unfortunate, because we would not have continuous or even count outcomes, and as a result, might not be able to pick up small changes in behavior.) We opted for a question that was based on 30-day meat consumption: none, 1-3 times per month, 1 time per week, etc. - six groups in total. The question was how best to evaluate effectiveness of the intervention? | |
| | | | |
austinrochford.com
|
|
| | | | | For my day job, I spend a lot of time thinking about e-commerce analytics and cohort analysis in particular. Statistical age-period-cohort (APC) models are important in many fields such as epidemiolo | |
| | | | |
aosmith.rbind.io
|
|
| | | | | I walk through an example of simulating data from a binomial generalized linear mixed model with a logit link and then exploring estimates of over/underdispersion. | |
| | | | |
ivelasq.rbind.io
|
|
| | | Let's explore some cool charts we can make in {ggplot2}. | ||
