Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance, 2nd Edition

Index

1. absorbing factor
2. accumulated analysis of deviance. See analysis of deviance, accumulated
3. accumulated anova
4. AI. See algorithm, average information
5. Akaike Information Criterion (AIC)
6. algorithm
   1. average information
   2. Fisher scoring
   3. sparse
7. aliasing
   1. partial
8. allele
9. analysis of deviance
   1. accumulated
10. analysis of variance (anova)
11. anisotropic power model. See model, anisotropic power
12. anova. See analysis of variance (anova)
13. AR model. See model, autoregressive
14. array
15. assay
16. association mapping
17. asterisk
18. average information
19.  
20. balance
21. baseline value
22. Bayesian approach. See also Bayesian statistics
    1. empirical
23. Bayesian Information Criterion (BIC)
24. Bayesian interpretation of BLUP. See interpretation of BLUP, Bayesian
25. Bayesian statistics
26. belief
    1. posterior (see posterior belief)
    2. prior (see prior belief)
27. Best Linear Unbiased Estimate (BLUE)
28. Best Linear Unbiased Predictor (BLUP)
29. bias
    1. in meta-analysis
30. BIC. See Bayesian Information Criterion (BIC)
31. binary outcome. See binary response
32. binary response
33. block
    1. complete
    2. incomplete
    3. term (see term, block)
34. BLUE. See Best Linear Unbiased Estimate (BLUE)
35. BLUP. See Best Linear Unbiased Predictor (BLUP)
36. Bonferroni correction. See multiplicity, correction for
37. breeding line
38. breeding value
39.  
40. case study
41. categorical variable. See factor
42. central limit theorem
43. chi-square. See distribution, chi-square
44. chi-square distribution. See distribution, chi-square
45. chi-square statistic. See distribution, chi-square
46. chi-square test. See distribution, chi-square