2004”N4ŒŽ‚ฉ‚็ŠJŽn


wModern Statistics for the Life Sciencesx

’˜ŽาFAlan Grafen and Rosie Hails
o”ลŽะFOxford Universuty Press
ISBNF0-19-925231-9

อ ƒ^ƒCƒgƒ‹ ’S“–Žา ŠJร“๚ ƒŒƒWƒ…ƒ
1อ An introduction to analysis of variance ฮเ_ 4/6
2อ Regression ‘D‰z 5/14
3อ Models, parameters and GLMs ‰บ–์ 5/14
4อ Using more than one explanatory variable Vˆไ 12/1
5อ Designing expwriments-keeping it simple ผŒ๛ 12/1
6อ Combining continuous and categorical variables ‚์ 12/1
7อ Interactions-getting more complex Šp’J 12/1
8อ Checking the models 1: independence “c’† 12/22(—\j
9อ Checking the models 2: the other three asumptions ‚์ 12/22(—\j
10อ Model selection 1: principles of model choice and designed experiments ฮเ_ 12/22(—\j
11อ Model selection 2: datrasets with several explanatory variables Šp’J 12/22(—\j
12อ Random effects ‘D‰z
13อ Categorical data ฌ์
14อ What lies beyond? ฮเ_
Revision section The basics ผ่
Appendix 1 The meaning of p-values and confidence intervals ฮเ_ 4/6
Appendix 2 Analytical results about variance of sample means ฮเ_ 4/6
Appendix 3 Probability distributions