This site contains my textbook for several biostatistics courses at Southern Illinois University Carbondale (SIUC). It is now formally published in SIUC’s group on OER Commons, a public digital library of open educational resources. The Creative Commons license chosen for the textbook (CC BY 4.0) means you can share or adapt the textbook materials in any way, but need to cite it as suggested below. – John D. Reeve
Reeve, J.D. (2022) Biostatistics: Data and Models (https://www.oercommons.org/courseware/lesson/101759/student/). This book is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/).
You can access the textbook using the link embedded in this citation, or alternately the same materials using the links below.
Revised Textbook Chapters and Code (2023)
Individual Chapters with SAS/R Code and Output
Chapter 2 – Review of Mathematics
Chapter 3 – Populations and Statistics
Chapter 4 – Probability Theory
Chapter 5 – Discrete Random Variables
Chapter 6 – Continuous Random Variables
Chapter 7 – Expected Value, Variance, and Samples
Chapter 8 – Sampling and Estimation
Chapter 9 – Confidence Intervals
Chapter 10 – Hypothesis Testing
Chapter 11 – Analysis of Variance (One-Way)
Chapter 12 – Power Analysis for One-Way ANOVA
Chapter 13 – Multiple Comparisons
Chapter 14 – Analysis of Variance (Two-Way)
Chapter 15 – Assumptions and Transformations
Chapter 16 – Nonparametric Tests
Chapter 17 – Linear Regression
Chapter 19 – More Complex ANOVA Designs
Chapter 20 – Methods for Categorical Data
Chapter 21 – Multiple Regression
Chapter 23 – Statistical Tables
Entire Textbook and all SAS/R Code and Output (2023)
Biostatistics: Data and Models
Previous Textbook Chapters and Code (2016)
Individual Chapters with SAS/R Code and Output
Chapter 2 – Review of Mathematics
Chapter 3 – Populations and Statistics
Chapter 4 – Probability Theory
Chapter 5 – Discrete Random Variables
Chapter 6 – Continuous Random Variables
Chapter 8 – Sampling and Estimation
Chapter 9 – Confidence Intervals
Chapter 10 – Hypothesis Testing
Chapter 13 – Multiple Comparisons
Chapter 15 – Assumptions and Transformations
Chapter 16 – Nonparametric Tests
- Chapter 16 Code and Output (SAS/R) Zip
- Cassell (2002) A randomization-test wrapper for SAS PROCs. SUGI 27: Paper 251-27. http://www2.sas.com/proceedings/sugi27/p251-27.pdf
Chapter 17 – Linear Regression
Chapter 19 – More Complex ANOVA Designs
Chapter 20 – Methods for Categorical Data
Chapter 22 – Statistical Tables
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