[ Main page | 3rd term syllabus | R for Windows ]
[Note: the following is subject to revision.]
| Legend: | N | Notes | C | Code | H | Homework | S | Solutions | L | Labs | D | Discussion |
| Date | Topic | Reading | N | C | H | S | L | D | ||
| March | 27 | Goodness of fit | Sec 10.1 |
|
|
|
|
|||
| 29 | Goodness of fit, multinomial distribution |
|
|
|
|
|
|
|||
| 31 | 2x2 tables, hypergeometric distribution, paired data | Sec 10.2-4, 7-9 |
|
|
|
|
||||
| April | 3 | r x k tables, sample size | 10.5-6 |
|
|
|
|
|||
| 5 | No lecture |
|
||||||||
| 7 | Variances; Introduction to ANOVA | Sec 11.1-2 |
|
|
|
|
||||
| 10 | ANOVA: Permutation tests, random effects | Sec 11.3-4 |
|
|
||||||
| 12 | ANOVA: Model assumptions and diagnostics | Sec 11.5 |
|
|
|
|||||
| 14 | ANOVA: Multiple comparisons | Sec 11.7-8 |
|
|
||||||
| 17 | ANOVA: Non-parametric methods |
|
|
|||||||
| 19 | ANOVA: Nested models |
|
|
|
||||||
| 21 | ANOVA: Two-way analysis of variance | Sec 11.6 |
|
|
||||||
| 24 | Simple linear regression | Sec 12.1-2 |
|
|
||||||
| 26 | Regression and correlation | Sec 12.5 |
|
|
||||||
| 28 | Simple linear regression: Tests and confidence intervals | Sec 12.3-4 |
|
|
||||||
| May | 1 | Simple linear regression: prediction and calibration |
|
|
|
|||||
| 3 | Multiple linear regression: Introduction |
|
|
|
||||||
| 5 | Multiple linear regression: Diagnostics |
|
|
|||||||
| 8 | No lecture | |||||||||
| 10 | Non-linear regression |
|
|
|||||||
| 12 | Logistic regression |
|
|
|||||||
| 15 | Survival analysis |
|
||||||||
| 17 | Examples | |||||||||
| 19 | Examples | |||||||||
[ Main page | 3rd term syllabus | R for Windows ] | Last modified: Tue May 16 22:51:28 EDT 2006 |