Explore >> Select a destination
|
You are here 
|
fharrell.com | ||
| | | | |
www.nicholas-ollberding.com
|
|
| | | | | Inherent limitations with one-at-a-time (OaaT) feature testing (i.e., single feature differential abundance analysis) have contributed to the increasing popularity of mixture models for correlating microbial features with factors of interest (i. | |
| | | | |
genentech.github.io
|
|
| | | | | [AI summary] The user provided a list of R packages and their versions, along with some code and session information. They seem to be working on a project that involves Bayesian modeling, specifically with Stan and RStanemax, and are using several tidyverse packages for data manipulation and visualization. The user may be encountering an issue with their R environment or package dependencies, as there are some question marks and a request for help in the query. They might need assistance with installing or updating packages, resolving conflicts, or understanding the output of their Bayesian models. | |
| | | | |
hbiostat.org
|
|
| | | | | In this article I provide much more extensive simulations showing the near perfect agreement between the odds ratio (OR) from a proportional odds (PO) model, and the Wilcoxon two-sample test statistic. The agreement is studied by degree of violation of the PO assumption and by the sample size. A refinement in the conversion formula between the OR and the Wilcoxon statistic scaled to 0-1 (corcordance probability) is provided. | |
| | | | |
tdhock.github.io
|
|
| | | Statistical machine learning researcher working on fast optimization algorithms for large data. | ||
