Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
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Updated
May 26, 2024 - HTML
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Randomization-based inference in Python
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
An R/Bioconfuctor package for association analysis of genomic regions based on permutation tests
Machine learning tools for the analysis of systems serology data
Permutation-Based FDR Point and Confidence Interval Estimation
Permutation tests for MixedModels.jl
Power Outage Data Analysis in USA
Python package for permutation tests, for statistics and machine learning.
A statistics package with a variety of bootstrap and other resampling tools
Easy-to-use collection of statistical methods and techniques, all written in R 🗂
A MATLAB package for multivariate permutation testing and effect size measurement
Permutational group-sequential tests for time-to-event data based on the log-rank test statistic.
Code for our paper: "Adaptive Geo-Topological Independence Criterion".
Permutation Test for Principal Components Analysis
This is the code of a group university project on insurance premiums I took part in. Nonparametric statistics has been used for the data analysis and a shiny app has been implemented to show health insurance premium predictions. I thank Anna Iob, Martina Garavaglia and Veronica Mazzola who have partecipated in the project realisation.
Permutation testing in single cell analysis
Tools for analyzing and quantifying effects of confounder variables on machine learning model predictions.
Analysis code and Latex source of the manuscript describing the conditional permutation test of confounding bias in predictive modelling.
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