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Repository for the Project developed during the PhD Course on "Statistics for Engineers"

Contributors

This repository contains the code to develop the project for the course "Statistics for Engineers" of the PhD in Information Engineering at the University of Padova. The project is developed by Francesco L. De Faveri and Laura Menotti.

Conda environment

The conda environment named 24_DP_MedAnalysis is defined in the file environment.yml in the config folder. To create the environment, run the following command:

conda env create -f config/environment.yml

Once the environment has been resolved, to activate it run the following command:

conda 24_DP_MedAnalysis

Project structure

H1 - Pre Summer School Project

Folder: first presentation

  • Motivate the usefulness of the research presenting the case study;
  • Describe the dataset, including its source, employing suitable plots and tables;
  • Perform a suitable one-sample tests
  • Perform a suitable two-samples tests
  • Perform an ANOVA or a Chi-square test

H2 - Post Summer School Project

Folder: second presentation

  • Linear, non-linear regression model or supervised Machine Learning algorithm
  • Unsupervised Machine Learning algorithm
  • DOE analysis

Project description - Differential Privacy and Medical Analysis

Folder: project

In the project, we aim to analyze the impact of the application of Differential Privacy (DP) on a medical dataset and perform classifications, clustering and other statistical analysis on the data. In the project folder, the slides of the presentations are reported.