- Page 1 and 2: SAS/STAT ® 9.22 User’s Guide The
- Page 3 and 4: Chapter 56 The MIXED Procedure Cont
- Page 5 and 6: Basic Features ✦ 4515 Repeated me
- Page 7 and 8: PROC MIXED Contrasted with Other SA
- Page 9 and 10: proc mixed data=heights; class Fami
- Page 11 and 12: Figure 56.6 Fit Statistics Fit Stat
- Page 13 and 14: Figure 56.10 Dimensions and Number
- Page 15 and 16: Syntax: MIXED Procedure The followi
- Page 17 and 18: Table 56.1 continued Statement Desc
- Page 19 and 20: PROC MIXED Statement ✦ 4529 CL< =
- Page 21 and 22: INFO PROC MIXED Statement ✦ 4531
- Page 23 and 24: ORD PROC MIXED Statement ✦ 4533 d
- Page 25 and 26: PROC MIXED Statement ✦ 4535 RESID
- Page 27 and 28: PROC MIXED Statement ✦ 4537 RANDO
- Page 29 and 30: CLASS Statement ✦ 4539 Because so
- Page 31 and 32: contrast 'A narrow' A 1 -1 0 A*B .5
- Page 33: ESTIMATE Statement ESTIMATE ’labe
- Page 37 and 38: ADJUST=BON proc mixed; class A; mod
- Page 39 and 40: LSMEANS Statement ✦ 4549 BYLEVEL
- Page 41 and 42: SLICE= fixed-effect LSMESTIMATE Sta
- Page 43 and 44: Table 56.6 Summary of Important MOD
- Page 45 and 46: MODEL Statement ✦ 4555 DDFM=KENWA
- Page 47 and 48: E E1 E2 E3 MODEL Statement ✦ 4557
- Page 49 and 50: Table 56.8 continued Description Su
- Page 51 and 52: SIZE=n MODEL Statement ✦ 4561 If
- Page 53 and 54: MODEL Statement ✦ 4563 Table 56.1
- Page 55 and 56: The estimated prediction variance i
- Page 57 and 58: PARMS Statement PARMS (value-list)
- Page 59 and 60: OLS PRIOR Statement ✦ 4569 By def
- Page 61 and 62: PRIOR Statement ✦ 4571 JEFFREYS s
- Page 63 and 64: RANDOM Statement ✦ 4573 TDATA= en
- Page 65 and 66: RANDOM Statement ✦ 4575 GCORR dis
- Page 67 and 68: RANDOM Statement ✦ 4577 component
- Page 69 and 70: Table 56.12 continued Option Descri
- Page 71 and 72: proc mixed; class a; model y = a x;
- Page 73 and 74: REPEATED Statement ✦ 4583 assumed
- Page 75 and 76: REPEATED Statement ✦ 4585 functio
- Page 77 and 78: REPEATED Statement ✦ 4587 The fol
- Page 79 and 80: TYPE=SP(EXPGA)(c1 c2) TYPE=SP(GAUGA
- Page 81 and 82: TYPE=UN@AR(1) TYPE=UN@CS REPEATED S
- Page 83 and 84: WEIGHT Statement WEIGHT variable ;
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Example: Growth Curve with Compound
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Mixed Models Theory ✦ 4597 Such a
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2 6 Z D 6 4 2 6 G D 6 4 1 1 1 1 1 1
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Estimating Fixed and Random Effects
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Inference and Test Statistics Mixed
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Mixed Models Theory ✦ 4605 (2002,
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Intercept Parameterization of Mixed
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Table 56.18 continued Data I A B(A)
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Residuals and Influence Diagnostics
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Scaled Residuals Residuals and Infl
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Predicted Values, PRESS Residual, a
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When ITER=0 and 2 is profiled, then
- Page 109 and 110:
Using results in Cook and Weisberg
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Default Output ✦ 4621 The Evaluat
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Null Model Likelihood Ratio Test De
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Table 56.22 continued ODS Table Nam
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ODS Table Names ✦ 4627 CAUTION: T
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ODS Graphics ✦ 4629 Some of the v
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Figure 56.16 Panel of the Condition
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Figure 56.18 Deletion Estimates ODS
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Computational Issues Computational
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Memory Computational Issues ✦ 463
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Examples: MIXED Procedure Examples:
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Example 56.1: Split-Plot Design ✦
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Example 56.1: Split-Plot Design ✦
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4 F 23.5 24.5 25.0 26.5 5 F 21.5 23
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Output 56.2.4 Repeated Measures Ana
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Output 56.2.7 Repeated Measures Ana
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Example 56.2: Repeated Measures ✦
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Output 56.2.14 Analysis with Compou
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Example 56.2: Repeated Measures ✦
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Example 56.3: Plotting the Likeliho
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Output 56.3.3 continued Number of O
- Page 151 and 152:
Output 56.3.8 Fit Statistics and Li
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Output 56.3.12 Least Squares Means
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Both G and R are known. 2 2 1 1 2 1
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Output 56.4.2 Model Dimensions and
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Example 56.4: Known G and R ✦ 466
- Page 161 and 162:
Example 56.5: Random Coefficients
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Example 56.5: Random Coefficients
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Output 56.5.7 Random Coefficients A
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Output 56.5.10 continued Covariance
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Example 56.6: Line-Source Sprinkler
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Output 56.6.3 Model Dimensions and
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Example 56.6: Line-Source Sprinkler
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Example 56.7: Influence in Heteroge
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Example 56.7: Influence in Heteroge
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Output 56.7.5 Covariance Parameter
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Output 56.7.7 Restricted Likelihood
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Output 56.7.9 Covariance Parameter
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Example 56.8: Influence Analysis fo
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Output 56.8.2 Restricted Likelihood
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Example 56.8: Influence Analysis fo
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Example 56.8: Influence Analysis fo
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Output 56.8.8 Distribution of Condi
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Output 56.9.2 Type 3 Tests in Split
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Output 56.9.5 Parameter Estimates i
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Output 56.10.1 Analysis of LS-Means
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References ✦ 4711 Cook, R. D. (19
- Page 203 and 204:
References ✦ 4713 Harville, D. A.
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References ✦ 4715 Matérn, B. (19
- Page 207 and 208:
Bulletin No. 343, Louisiana Agricul
- Page 209 and 210:
Subject Index 2D geometric anisotro
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graphics, influence diagnostics, 46
- Page 213 and 214:
matrix notation, theory (MIXED), 45
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parameter constraints, 4568, 4636 p
- Page 217:
subject effect MIXED procedure, 454
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INFLUENCE option, MODEL statement (
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NSAMPLE= option, 4572 NSEARCH= opti
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ESTIMATE statement (MIXED), 4544 LS
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