Mike’s Biostatistics Book (Dohm)
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The lecture notes are written from my perspective on what matters in a semester-long, first course in Biostatistics: concepts, context and practical advice along with a generous introduction to general linear models. The focus is on applied statistics with reference to other data science skill sets as needed. Concepts are illustrated by examples and multiple choice questions to “test” reader comprehension. Examples in Mike’s Biostatistics Book are generally from real data sets in biological or biomedical research. Therefore, context and practice comes from data sets we will work on throughout the semester.
Front Matter
1: Getting Started
2: Introduction
3: Exploring Data
4: How to Report Statistics
5: Experimental Design
6: Probability and Distributions
7: Probability and Risk Analysis
8: Inferential Statistics
9: Categorical Data
10: Quantitative Two-Sample Tests
11: Power Analysis
12: One-way Analysis of Variance
13: Assumptions of Parametric Tests
14: ANOVA Designs, Multiple Factors
15: Nonparametric Tests
16: Correlation, Similarity, and Distance
17: Linear Regression
18: Multiple Linear Regression
19: Distribution-free methods
20: Additional Topics
Appendix
Back Matter
Thumbnail: The cover image is a manowar fractal generated in Fractal Explorer, the GNU Image Manipulation Program (GIMP)