Statistical Analysis with Missing Data., 3rd Edition

Subject Index

a

• Acceleration 35, 208–210
• Accelerated EM algorithm (AEM) 209. See also PXEM algorithm
• Acquired immune deficiency syndrome (AIDS), demographic survey 371–372
• Adaptive robust 204–205, 291–292
• Adjusting ANOVA sums of squares and standard errors for filled-in missing 42
• Adjustment 78, 85, 244
• AECM 205–206
• Algorithms, 209. See also EM algorithm; extensions of EM algorithm; Newton–Raphson algorithm; Scoring algorithm
• Allocation, see Imputation
• Analysis of covariance (ANCOVA) method for missing data in 35–45
• Analysis of variance (ANOVA) with missingness outcomes 29–45, 264–266
  • mixed-effects 31, 262
  • one-way ANOVA with missing 138–140
  • random-effects 31, 138–140, 262–264
• Approximate covariance 267. See also Asymptotic covariance matrix of parameters or estimates
• Approximations using test statistics 235–238
• AR1 275
• Asymptotic covariance matrix of parameters or estimates 119–120, 213
  • for categorical 312–313
  • for general missing data pattern using Louis's 220–221
  • for multiple 266–269
  • for multivariate normal data 252–253
  • sandwich 123
• Asymptotic 61
• Asymptotic standard errors, see Asymptotic covariance matrix of parameters or estimates
• Augmented covariance matrix, 168–169
• Autoregressive 273–276
  • moving-average (ARMA) models 273
• Available-case analysis, weighted 50–54
  • comparisons with complete-case 62–63
  • comparisons with ML and data augmentation 255

b

• Balanced incomplete block 30
• Balanced repeated 61
• Banded covariance 273
• Bartlett's 35–37
• Bayesian bootstrap, see Bootstrap, ...