SAS/STAT 9.2 User's Guide: The MIXED Procedure (Book Excerpt)

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3906 ✦ Chapter 56: The MIXED Procedure INFLUENCEESTPLOT< (options) > requests panels of the deletiob estimates in an influence analysis, provided that the INFLUENCE option is specified in the MODEL statement. No plots are produced for fixed-effects parameters associated with singular columns in the X matrix or for covariance parameters associated with singularities in the ASYCOV matrix. By default, separate panels are produced for the fixed-effects and covariance parameters delete estimates. The FIXED and RANDOM options enable you to select these specific panels. The UNPACK option produces separate plots for each of the parameter estimates. The USEINDEX option replaces formatted tick values for the horizontal axis with integer indices. INFLUENCESTATPANEL< (options) > requests panels of influence statistics. For iterative influence analysis (see the INFLUENCE option in the MODEL statement), the panel shows the Cook’s D and CovRatio statistics for fixed-effects and covariance parameters, enabling you to gauge impact on estimates and precision for both types of estimates. In noniterative analysis, only statistics for the fixed effects are plotted. The UNPACK option produces separate plots from the elements in the panel. The USEINDEX option replaces formatted tick values for the horizontal axis with integer indices. RESIDUALPANEL < (residualplot-options) > requests a panel of raw residuals. By default, the conditional residuals are produced. See the discussion of residualplot-options in a later section for information about how to tune this panel. STUDENTPANEL < (residualplot-options) > requests a panel of studentized residuals. By default, the conditional residuals are produced. See the discussion of residualplot-options in a later section for information about how to tune this panel. PEARSONPANEL < (residualplot-options) > requests a panel of Pearson residuals. By default, the conditional residuals are produced. See the discussion of residualplot-options in a later section for information about how to tune this panel. PRESS< (USEINDEX) > requests a plot of PRESS residuals or PRESS statistics. These are based on “leave-oneout” or “leave-set-out” prediction of the marginal mean. When influence diagnostics are requested with set selection according to an effect, the USEINDEX option enables you to replace the formatted tick values on the horizontal axis with integer indices of the effect levels in order to reduce the space taken up by the horizontal plot axis. VCIRYPANEL < (residualplot-options) > requests a panel of residual graphics based on the scaled residuals. See the VCIRY option in the MODEL statement for details about these scaled residuals. Only the UNPACK and BOX options of the residualplot-options are available for this type of residual panel. NONE suppresses all plots.
Residual Plot Options PROC MIXED Statement ✦ 3907 The residualplot-options determine both the composition of the panels and the type of residuals being plotted. BOX BOXPLOT replaces the inset of summary statistics in the lower-right corner of the panel with a box plot of the residual (the “PROC GLIMMIX look”). CONDITIONAL BLUP MARGINAL constructs plots from conditional residuals. NOBLUP constructs plots from marginal residuals. UNPACK produces separate plots from the elements of the panel. The inset statistics are not part of the unpack operation. Box Plot Options The boxplot-options determine whether box plots are produced for residuals or for residuals and observed values, and for which model effects the box plots are constructed. The available boxplot-options are as follows. CONDITIONAL BLUP FIXED constructs box plots from conditional residuals—that is, residuals using the estimated BLUPs of random effects. produces box plots for all fixed effects (MODEL statement) consisting entirely of classification variables GROUP produces box plots for all GROUP= effects (RANDOM and REPEATED statement) consisting entirely of classification variables MARGINAL NOBLUP constructs box plots from marginal residuals.
Page 1 and 2: SAS/STAT ® 9.2 User’s Guide The
Page 3 and 4: Chapter 56 The MIXED Procedure Cont
Page 5 and 6: Basic Features ✦ 3887 clustered i
Page 7 and 8: variance components compound symmet
Page 9 and 10: Clustered Data Example ✦ 3891 The
Page 11 and 12: Clustered Data Example ✦ 3893 mat
Page 13 and 14: criterion of 1E 8. Figure 56.11 REM
Page 15 and 16: Syntax: MIXED Procedure ✦ 3897 Th
Page 17 and 18: Table 56.2 continued Option Descrip
Page 19 and 20: If H k is singular, then PROC MIXED
Page 21 and 22: MMEQ PROC MIXED Statement ✦ 3903
Page 23: PLOTS < (global-plot-options ) > <
Page 27 and 28: RATIO Multiple Plot Request PROC MI
Page 29 and 30: CONTRAST Statement ✦ 3911 TRUNCAT
Page 31 and 32: CONTRAST Statement ✦ 3913 differe
Page 33 and 34: ESTIMATE Statement ✦ 3915 ALPHA=n
Page 35 and 36: Table 56.5 Summary of Important LSM
Page 37 and 38: LSMEANS Statement ✦ 3919 The numb
Page 39 and 40: E LSMEANS Statement ✦ 3921 are di
Page 41 and 42: Table 56.6 continued Option Descrip
Page 43 and 44: Table 56.7 Aliases for DDFM= Option
Page 45 and 46: E E1 E2 E3 FULLX MODEL Statement
Page 47 and 48: MODEL Statement ✦ 3929 The modifi
Page 49 and 50: SIZE=n MODEL Statement ✦ 3931 ins
Page 51 and 52: Table 56.10 continued Suboption Sta
Page 53 and 54: MODEL Statement ✦ 3935 where Vm i
Page 55 and 56: PARMS Statement PARMS (value-list)
Page 57 and 58: OLS PRIOR Statement ✦ 3939 approp
Page 59 and 60: PRIOR Statement ✦ 3941 JEFFREYS s
Page 61 and 62: RANDOM Statement ✦ 3943 TDATA= en
Page 63 and 64: RANDOM Statement ✦ 3945 GCORR dis
Page 65 and 66: RANDOM Statement ✦ 3947 available
Page 67 and 68: Table 56.12 continued Option Descri
Page 69 and 70: proc mixed; class a; model y = a x;
Page 71 and 72: REPEATED Statement ✦ 3953 TYPE=co
Page 73 and 74: Table 56.15 Covariance Structure Ex
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REPEATED Statement ✦ 3957 TYPE=AR
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TYPE=SP(EXPGA)(c1 c2) TYPE=SP(GAUGA
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TYPE=UN@AR(1) TYPE=UN@CS REPEATED S
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Mixed Models Theory ✦ 3963 where
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proc mixed; class indiv; model y =
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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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Mixed Models Theory ✦ 3969 In man
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Mixed Models Theory ✦ 3971 Finall
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Mixed Models Theory ✦ 3973 When L
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Parameterization of Mixed Models
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Interaction Effects Parameterizatio
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Table 56.20 Example of Continuous-b
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as ei ei p D pvi VarŒei and studen
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Residuals and Influence Diagnostics
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Default Output Default Output ✦ 3
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Default Output ✦ 3991 batch proce
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ODS Table Names ✦ 3993 You can us
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Table 56.22 continued ODS Table Nam
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Table 56.23 continued Table Name Va
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ODS Graphics ✦ 3999 The graphical
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ODS Graphics ✦ 4001 precision is
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Table 56.24 continued ODS Graph Nam
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Computational Issues ✦ 4005 For f
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Memory Computational Issues ✦ 400
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The following statements fit the sp
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Output 56.1.6 Split-Plot Analysis (
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proc mixed; class A B Block; model
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Example 56.2: Repeated Measures ✦
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Output 56.2.6 Repeated Measures Ana
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Output 56.2.9 Repeated Measures Ana
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Output 56.2.11 continued Dimensions
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Output 56.2.17 Analysis with Compou
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Example 56.2: Repeated Measures ✦
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The results from this analysis are
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Output 56.3.6 Estimated Covariance
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Output 56.3.10 Solutions of the Mix
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Output 56.3.14 Plot of Likelihood S
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Example 56.4: Known G and R ✦ 403
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Example 56.4: Known G and R ✦ 403
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Output 56.4.9 Solutions of the Mixe
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Example 56.5: Random Coefficients E
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Output 56.5.3 continued Number of O
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Output 56.5.9 Random Coefficients A
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Example 56.5: Random Coefficients
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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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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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References ✦ 4079 Carroll, R. J.
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References ✦ 4081 Hanks, R.J., Si
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References ✦ 4083 Littell, R. C.,
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References ✦ 4085 Smith, A. F. M.
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Subject Index 2D geometric anisotro
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graphics, residual panel, 3998 grap
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maximum likelihood estimation mixed
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parameterization, 3975 Pearson resi
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subject effect MIXED procedure, 391
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INFLUENCE option, MODEL statement (
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OUTG= option, 3942 OUTGT= option, 3
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INFLUENCE option, MODEL statement (
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