[ Main page | 3rd term syllabus | R for Windows ]

- Tests for goodness of fit
- Contingency tables
- Analysis of variance
- More on multiple comparisons
- Linear regression
- More on experimental design
- Special topics

[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 |