Biostatistics and Experimental Design
- Basic Approaches to Science and Statistics
- Probability
- Statistical Inference
- Lecture I - Neyman-Pearson & Bayesian
- Lecture II - Selecting Statistical Tests
- Lab: Hypotheses
- Nature of Data and Experiments
- How to dissect a journal article (from the social sciences)
- Lab: Journal articles and writing
- Lab: Introduction to R: Part 1 (basic coding and function) and Part 2 (data import)
- Exploratory Data Analysis (nee Descriptive Statistics)
- Data Distributions
- Analysis of Frequencies
- Variance Measures of Continuous Data
- Mean Differences between Two Groups
- Lecture
- How-to in R
- Introduction to ANOVA
- Multiple comparisons
- Lecture
- How to in R (see end of ANOVA How-to)
- Two Factor ANOVA and Experimental Design
- Variable and Model Selection
- Correlation and Regression
- Fitting Models to Squiggly Lines
- ANCOVA:Analysis of Covariance (Predictors are Continuous and Categorical)
- Analysis of Count Data: Poisson and Negative Binomial
- Logistic Regression
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