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My own notes.
- prob_hyp.pdf. Probability & hypothesis testing.
- nonpar.pdf. Nonparametric (mostly rank-based) tests. Click here for further note concerning calculation of T for the Wilcoxon signed ranks test.
- categorical.pdf. Tests for categorical variables (e.g., chi-square, Fisher exact, etc). Assumptions for chi-square tests are summarized here.
- z_and_t_tests.pdf. Notes on z- and t-tests. See also Assumptions for t-tests and the Unequal Variances t-test.
- anova1.pdf. One-way ANOVA. (Updated on 7-Jul-2003.)
- multcomp.pdf. Multiple comparison procedures. Click here for a flow-chart.
- anova2.pdf. Two-way ANOVA. This shorter version is recommended to students in the BHSc stats class.
- linreg.pdf. Simple linear regression. Here is a brief note on the coefficient of determination.
- multreg.pdf. Multiple regression. Also, here is a note on rules of thumb concerning how many variables you may safely include in a regression model.
- anova_regression.pdf. Similarities between one-way ANOVA and linear regression.
- ancova.pdf. Analysis of Covariance.
- pcafa.pdf. Principal components analysis and factor analysis.
- Note on odds ratios in multinomial logistic regression.
- A t-test for the difference between two non-independent Pearson correlations.
- Errata and clarifications for Biostatistics: The Bare Essentials, by Norman & Streiner.
Notes by other folks
- 2nd edition
- 3rd edition (I haven't had time to work on this yet!)
Newsgroup posts & other stuff I found interesting
- Notes by John Fox, Professor in the Department of Sociology at McMaster University. John is author of the book Applied Regression Analysis, Linear Models, and Related Methods. Click on the link for Sociology 740 on his homepage to find notes on the following topics (among others):
- Regression Diagnostics (1): Unusual and Influential Data.
- Regression Diagnostics (2): Nonlinearity and Other Ills.
- Regression Diagnostics (3): Collinearity and Model Selection.
- Mini-lecture on Maximum-Likelihood Estimation.
- Logit and Probit Models (1).
- Stuff from David Howell's website.
- Lesa Hoffman's course notes on advanced multilevel modeling and multilevel models for longitudinal data.
- Some Examples Demonstrating the Need for Using Two-Group Tests, by Kevin E. Thorpe, Department of Public Health Sciences, University of Toronto.
- Testing for equivalence and non-inferiority.
- Notes on dummy coding and effect coding of categorical variables (from the UCLA Statistical Computing website).
- Myths and nonsense about the t-test.
- Homepage for the book Bayesian Data Analysis, by Andrew Gelman, John Carlin, Hal Stern, David Dunson, Aki Vehtari, and Donald Rubin.
Last modified on 22-May-2015