Distance weighted discrimination (DWD) is a linear discrimination method that is particularly well-suited for classification tasks with high-dimensional data. The DWD coefficients minimize an intuitiv
This dataset contains anonymized data from a retrospective cohort study, between January 1, 2009, and December 27, 2016, analyzing 3112 transvaginal ultrasounds (TVUS) obtained from 2495 patients. Dat
Approximate Bayesian computation (ABC) is now an established technique for statistical inference used in cases where the likelihood function is computationally expensive or not available. It relies on
The envelope model aims to increase efficiency in multivariate analysis by utilizing dimension reduction techniques. It has been used in many contexts including linear regression, generalized linear m
