Tests and confidence intervals for differences in cross-validated AUC

ROC-GLM and calibration analysis for DataSHIELD

Recipes for common operations in logistic regression: Data cleaning, ANOVA, ROC, & AUC

This is a tutorial analysing a fake study. The tutorial is aimed at people broadly familiar with basic stats, but who need a hand adapting this to R, and who are motivated to learn to code in R. More specifically, it looks at participant characteristics/descriptive stats, basic hypothesis testing, logistic regression, and ROC curve analysis

A Shiny Application to Evaluate Diagnostic Tests Performance. It allows users to compute key performance indicators and visualize ROC curves, determine optimal cut-off thresholds, display confusion matrix, and export publication-ready plots. It supports both binary and continuous test variables.

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve

R package 'wROC'. Estimation of the ROC curve and AUC with complex survey data.

BEGINNER - This is a classification project for the subject "Data Mining" in the 3rd year of Statistics (SSE) at the University of Milano-Bicocca.

University of Tehran - Spring 2020

Bioinformatics consultancy on MS-MLPA data analysis | Consultoria em Bioinformática para análise de dados de MS-MLPA

woe credit

mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.

611 project on NYC Language Data

Includes a package for rank order clustering and modified rank order clustering proposed by Amruthnath (2016)

A repository for sharing code and my various projects

ROC Analysis with Diagnostic Accuracy Tools for Jamovi