Advanced Statistics and Data Analysis
Introduction
This is the companion website of the “Advanced Statistics and Data Analysis” course, taught within the “Quantitative and Computational Biosciences” Master’s program at the University of Padova.
Organization of this website
This website is organized as a book. Each class topic is treated in a different chapter.
In each Chapter, you will find the slides presented in class and the code used for the practicals.
You can use the navigation bar to navigate by topic or the Timeline section below to see the topics in the same order they were presented in class.
Timeline
Lectures
| Week | Date | Topic | Hours |
|---|---|---|---|
| 1 | 24/2/2025 | Intro to course and statistics recap | 2 |
| 25/2/2025 | Data wrangling and visualization | 2 | |
| 26/2/2025 | Visualizing distributions | 2 | |
| 27/2/2025 | Visualizing multiple variables | 2 | |
| 28/2/2025 | Statistical modeling | 2 | |
| 2 | 10/3/2025 | Least squares regression | 2 |
| 11/3/2025 | Linear models (part 1) | 4 | |
| 12/3/2025 | Linear models (part 2) | 2 | |
| 13/3/2025 | Confounding and interactions | 2 | |
| 14/3/2025 | Experimental design (part 1) | 2 | |
| 3 | 17/3/2025 | Experimental design (part 2) | 2 |
| 18/3/2025 | Genralized Linear Models | 2 |
Labs
| Week | Date | Topic | Hours |
|---|---|---|---|
| 1 | 26/2/2025 | Data wrangling and visualization (part 1) | 4 |
| 27/2/2025 | Data wrangling and visualization (part 2) | 4 | |
| 28/2/2025 | Data wrangling and visualization (part 3) | 4 | |
| 2 | 13/3/2025 | Linear models (part 1) | 4 |
| 14/3/2025 | Linear models (part 2) | 4 | |
| 3 | 17/3/2025 | Linear models (part 3) | 4 |
Suggested reading materials
R resources
Statistics
Work in progress
The book is a work in progress as we move through the first edition of this class. Please, open issues and contribute pull requests at https://github.com/drisso/ASDA if you find typos or mistakes or if something is missing.
Acknowledgments
I wish to warmly thank all the authors that have provided open resources related to the topics of this course. In particular, the following people either directly or indirectly inspired the materials developed for this course: Claus O. Wilke, Carrie Wright, Shannon E. Ellis, Stephanie C. Hicks, Roger D. Peng, Wolfgang Huber, Susan Holmes, Hadley Wickham, Lieven Clement, Milan Malfait, Karl Broman, Rafael Irizarry, Mike Love, Jeff Leek, Brian Caffo, Charlotte Soneson.
In the same spirit, I am sharing openly online this course.
Specific resources that can be used as additional readings are noted in the relevant chapters.