UMN Applied Biostats 2024

Tour and table of contents

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Table of Contents

I: Getting Started

Chapter 00: Example Mini-chapter
Chapter 01: Intro to Stats
Chapter 02: Intro to R

II: Intro to Data

Chapter 03: Data in R
Chapter 04: Data Summaries
Chapter 05: Introduction to ggplot
Chapter 06: Associations
Chapter 07: Linear Models
Chapter 08: Data Collection and Organization
Chapter 09: Reproducible Code
Chapter 10: Better Figures
Chapter 11: Better Figures in R
Chapter 12: Peer Review

III: Probability & NHST

Chapter 13: Probability
Chapter 14: Sampling
Chapter 15: Uncertainty
Chapter 16: Hypothesis Testing
Chapter 17: Shuffling to Generate a Null
Chapter 18: Shuffling Associations
Chapter 19: Probability and NHST Review
Chapter 20: Review

IV: Linear Models

Chapter 21: Normal Distribution
Chapter 22: Sampling a Normal Distribution
Chapter 23: Two Samples from Normal Distributions
Chapter 24: More than Two Samples from Normal Distributions
Chapter 25: Linear Model Review
Chapter 26: Predicting One Continuous Variable from Another
Chapter 27: Predicting One Continuous Variable from Two Others
Chapter 28: Two-Way ANOVA
Chapter 29: Have a Go!

V: Beyond Linear Models

Chapter 30: Causal Inference

Chapter 31: Project prep

Chapter 32: Likelihood

Chapter 33: Model evaluation

VI: Big Picture

(To be determined)