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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.
PowerPoint slides for an Introductory Biostatistics course I taught.
- 2nd edition
- 3rd edition (I haven't had time to work on this yet!)
Notes by other folks
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.
- Rescaling continuous predictors in regression models -- a blog post by Mike Babyak.
- 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.
- Musings on Using and Misusing Statistics. A blog by Martha K. Smith, Professor Emerita of Mathematics, Associated Faculty (Emerita), Department of Statistics and Data Science, UT Austin, Austin, TX.
- Flavours of mean.
In this newsgroup post, Donald Burrill demystifies some of the less
well understood means statisticians sometimes report (e.g., the
geometric and harmonic means). [text version]
- The 95% confidence interval for the mean. Includes a nice example given by David Howell in his book Statistical Methods for Psychology.
- ANCOVA versus analysis of change scores, posted to newsgroup sci.stat.edu by Dave Krantz back in 1997.
- Normality and regression: a series of posts that appeared in sci.stat.consult and sci.stat.edu in May 2000.
- How to check for departure from linearity in linear models: A series of newsgroup posts.
- STEPWISE REGRESSION.
- A nice comment on transformations by Ray Koopman.
- A rank-based alternative to between-within ANOVA.
- Commentary on the hypothesis testing controversy By Alan McLean. In April 2000, Alan McLean posted to one of the stats newsgroups a couple of messages concerning the hypothesis testing controversy.
I find his commentary to be very sensible and refreshing, which cannot
be said for much of what one reads concerning this topic.
- Consequences of carrying out multiple tests with no correction to alpha.
- Dissertation Blues, a statistical poem by Peter Flom.
- Different types of clients known to statistical consultants.
- Michael A. Posner's page of statistical quotes.
- Michael Friendly's Data Visualization Gallery.
- Beware the radar chart -- from the Minitab Blog.
- Quotes about statistics.
- What does a twofold increase mean? As noted in this post, twofold indicates an increase to twice the original amount, not an increase that is twice the original amount; and an n-fold increase indicates an increase to n times the original amount, not an increase that is n times the original amount. (English can be quite confusing sometimes, even to native speakers!) See also:
Last modified on 28-Apr-2016