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