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Modern statistics for the life sciences /

by Grafen, Alan; Hails, Rosie.
Material type: materialTypeLabelBookPublisher: Oxford : Oxford Univ. Press, 2003Edition: [Repr.].Description: 351 p. : fig. ; 25 cm.ISBN: 0199252319.MeSH subject(s): Statistics as Topic | Biometry | Monograph | Handbooks | Problems and ExercisesPUBLICATION TYPE SAPHIR: Monograph
Contents:
1. An introduction to analysis of variance. - 2. Regression. - 3. Models, parameters and GLMs. - 4. Using more than one explanatory variable. - 5. Designing experiments: keeping it simple. - 6. Combining continuous and categorical variables. - 7. Interactions: getting more complex. - 8. Checking the models 1: independence. - 9. Checking the models 2: the other three assumptions. - 10. Model selectioin 1: principles of model choice and designed experiments. - 11. Model selection 2: datasets with several explanatory variables. - 12. Random effects. - 13. Categorical data. - 14. What lies beyond?. - 15. Answers to exercises. - Revision section: the basics. - Appendix 1: the meaning of p-values and confidence intervals. - Appendix 2: analytical results about variances of sample means. - Appendix 3: Probability distributions
Item type Current location Call number Status Notes Date due
Empruntable
57.087.1 (Browse shelf) Available
LC QA276 (Browse shelf) Available
Empruntable
57.087.1 G (Browse shelf) Available
Empruntable IST, Institut universitaire romand de santé au travail; Bibliothèque
Bibliothèque
IST QA-276.6-Gra-2002 (Browse shelf) Available N° d'inventaire: 80/09

1. An introduction to analysis of variance. - 2. Regression. - 3. Models, parameters and GLMs. - 4. Using more than one explanatory variable. - 5. Designing experiments: keeping it simple. - 6. Combining continuous and categorical variables. - 7. Interactions: getting more complex. - 8. Checking the models 1: independence. - 9. Checking the models 2: the other three assumptions. - 10. Model selectioin 1: principles of model choice and designed experiments. - 11. Model selection 2: datasets with several explanatory variables. - 12. Random effects. - 13. Categorical data. - 14. What lies beyond?. - 15. Answers to exercises. - Revision section: the basics. - Appendix 1: the meaning of p-values and confidence intervals. - Appendix 2: analytical results about variances of sample means. - Appendix 3: Probability distributions