SAS/STAT User's Guide

Book Contents

Master Index

SAS/STAT User's Guide

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z |

G matrix: MIXED procedure "Example 41.5: Random Coefficients"; MIXED procedure "Mixed Models Theory"; MIXED procedure "Mixed Models Theory"; MIXED procedure "Notation for the Mixed Model"; MIXED procedure "RANDOM Statement"

G option: RANDOM statement (MIXED)

G-G epsilon

G2 inverse: NLIN procedure

G4 option: PROC NLIN statement

G4= option: NLOPTIONS statement (CALIS); PROC CALIS statement; PROC NLMIXED statement

GABRIEL option: MEANS statement (ANOVA); MEANS statement (GLM)

Gabriel's multiple-comparison procedure: ANOVA procedure; GLM procedure "MEANS Statement"; GLM procedure "Multiple Comparisons"

gamma distribution: GENMOD procedure

GAMMA option: OUTPUT statement (FREQ); TEST statement (FREQ)

GAMMA= option: PROC FACTOR statement

gamma statistic

Gaussian assumption: SIM2D procedure

Gaussian distribution: NLMIXED procedure

Gaussian random field: SIM2D procedure

Gaussian semivariogram model: KRIGE2D procedure "Theoretical Semivariogram Models"; KRIGE2D procedure "Theoretical Semivariogram Models"

GC option: RANDOM statement (MIXED)

GCI option: RANDOM statement (MIXED)

GCONV= option: MODEL statement (LOGISTIC); NLOPTIONS statement (CALIS) "NLOPTIONS Statement"; NLOPTIONS statement (CALIS) "NLOPTIONS Statement"; NLOPTIONS statement (CALIS) "NLOPTIONS Statement"; PROC CALIS statement; PROC NLMIXED statement

GCONV2= option: NLOPTIONS statement (CALIS)

GCONVERGE= option: PROC MDS statement

GCORR option: RANDOM statement (MIXED)

GCV function, TPSPLINE procedure: nonhomogeneous variance

GDATA= option: RANDOM statement (MIXED)

GENDER statement, INBREED procedure

general association statistic

general distribution: NLMIXED procedure

general linear structure: MIXED procedure

generalized cross validation function (GCV)

generalized cyclic incomplete block design: generating with PLAN procedure

Generalized Estimating Equations (GEE)

generalized inverse: MIXED procedure; NLIN procedure; NLMIXED procedure

generalized linear model: GENMOD procedure "Examples of Generalized Linear Models"; GENMOD procedure "What is a Generalized Linear Model?"; theory (GENMOD)

generalized logits: examples (CATMOD); formulas (CATMOD); specifying in CATMOD procedure; using (CATMOD)

generation (INBREED): nonoverlapping "Overview"; nonoverlapping "Performing the Analysis"; nonoverlapping "Performing the Analysis"; number; overlapping "Overview"; overlapping "Performing the Analysis"; variable

GENMOD procedure: adjusted residuals; aliasing; bar (|) operator; binomial distribution; built-in link function; built-in probability distribution; classification variables; confidence intervals; confidence limits; continuous variables; contrasts; convergence criterion "MODEL Statement"; convergence criterion "REPEATED Statement"; correlated data "Generalized Estimating Equations"; correlated data "Overview"; correlation matrix "Generalized Linear Models Theory"; correlation matrix "MODEL Statement"; correlations, least-squares means; covariance matrix "Generalized Linear Models Theory"; covariance matrix "MODEL Statement"; covariances, least-squares means; crossed effects; design matrix; deviance; deviance definition; deviance residuals; dispersion parameter; dispersion parameter estimation "The GENMOD Procedure"; dispersion parameter estimation "Type 1 Analysis"; dispersion parameter estimation "Type 3 Analysis"; dispersion parameter weights; effect specification; estimability; estimability checking; events/trials format for response "Generalized Linear Models Theory"; events/trials format for response "MODEL Statement"; events/trials format for response "MODEL Statement"; expected information matrix; exponential distribution; F statistics "F Statistics"; F statistics "F Statistics"; Fisher's scoring method "Generalized Linear Models Theory"; Fisher's scoring method "MODEL Statement"; gamma distribution; GEE "Example 29.5: GEE for Binary Data with Logit Link Function"; GEE "Example 29.6: Log Odds Ratios and the ALR Algorithm"; GEE "Example 29.7: Log-Linear Model for Count Data"; GEE "Generalized Estimating Equations"; GEE "Generalized Estimating Equations"; GEE "Overview"; GEE "REPEATED Statement"; Generalized Estimating Equations (GEE); generalized linear model "Examples of Generalized Linear Models"; generalized linear model "What is a Generalized Linear Model?"; goodness of fit; gradient; Hessian matrix; information matrix; initial values "MODEL Statement"; initial values "REPEATED Statement"; initial values "REPEATED Statement"; intercept "MODEL Statement"; intercept "Poisson Regression"; intercept "The GENMOD Procedure"; inverse Gaussian distribution; L matrices; Lagrange multiplier statistics; life data; likelihood residuals; linear model; linear predictor "Displayed Output"; linear predictor "Overview"; linear predictor "Parameterization Used in PROC GENMOD"; linear predictor "Poisson Regression"; linear predictor "What is a Generalized Linear Model?"; link function "Generalized Linear Models Theory"; link function "Overview"; link function "What is a Generalized Linear Model?"; log-likelihood functions; log-linear models; logistic regression; main effects; maximum likelihood estimation; _MEAN_ automatic variable; multinomial distribution; multinomial models; negative binomial distribution; nested effects; Newton-Raphson algorithm; normal distribution; observed information matrix; offset "Displayed Output"; offset "MODEL Statement"; offset variable; ordinal data; output table names; overdispersion; Pearson residuals; Pearson's chi-square "Generalized Linear Models Theory"; Pearson's chi-square "Generalized Linear Models Theory"; Pearson's chi-square "MODEL Statement"; Poisson distribution; Poisson regression; polynomial effects; profile likelihood confidence intervals "Confidence Intervals for Parameters"; profile likelihood confidence intervals "MODEL Statement"; profile likelihood confidence intervals "MODEL Statement"; programming statements "Programming Statements"; programming statements "Programming Statements"; quasi-likelihood; raw residuals; regression parameters estimation; regressor effects; repeated measures "Generalized Estimating Equations"; repeated measures "Overview"; residuals "MODEL Statement"; residuals "Residuals"; residuals "Residuals"; residuals "Residuals"; residuals "Residuals"; residuals "Residuals"; residuals "Residuals"; _RESP_ automatic variable; scale parameter; scaled deviance "Generalized Linear Models Theory"; scaled deviance "Generalized Linear Models Theory"; score statistics; singular contrast matrix; specifying classification variables; subpopulation; suppressing output; Type 1 analysis "The GENMOD Procedure"; Type 1 analysis "Type 1 Analysis"; Type 3 analysis "The GENMOD Procedure"; Type 3 analysis "Type 3 Analysis"; user-defined link function; variance function; Wald confidence intervals "Confidence Intervals for Parameters"; Wald confidence intervals "MODEL Statement"; working correlation matrix "Generalized Estimating Equations"; working correlation matrix "REPEATED Statement"; working correlation matrix "REPEATED Statement"; working correlation matrix "REPEATED Statement"; _XBETA_ automatic variable

GENMOD procedure, BY statement

GENMOD procedure, CLASS statement

GENMOD procedure, CONTRAST statement: E option; SINGULAR= option; WALD option

GENMOD procedure, DEVIANCE statement

GENMOD procedure, ESTIMATE statement: ALPHA= option; E option; EXP option

GENMOD procedure, FREQ statement

GENMOD procedure, FWDLINK statement

GENMOD procedure, INVLINK statement

GENMOD procedure, LSMEANS statement: ALPHA= option; CL option; CORR option; COV option; DIFF option; E option

GENMOD procedure, MAKE statement

GENMOD procedure, MODEL statement: AGGREGATE= option; ALPHA= option; CICONV= option; CL option; CONVERGE= option; CONVH= option; CORRB option; COVB option; DIST= option; ERR= option; EXPECTED option; INITIAL= option; INTERCEPT= option; ITPRINT option; LINK= option; LRCI option; MAXIT= option; NOINT option; NOSCALE option; OBSTATS option; OFFSET= option; PRED option; PREDICTED option; RESIDUALS option; SCALE= option; SCORING= option; SINGULAR= option; TYPE1 option; TYPE3 option; WALD option; WALDCI option; XVARS option

GENMOD procedure, OUTPUT statement: keyword= option; OUT= option

GENMOD procedure, PROC GENMOD statement: DATA= option; NAMELEN= option; ORDER= option; RORDER= option

GENMOD procedure, REPEATED statement: ALPHAINIT= option; CONVERGE= option; CORR= option; CORRB option; CORRW option; COVB option; ECORRB option; ECOVB option; INITIAL= option; INTERCEPT= option; LOGOR= option; MAXITER= option; MCORRB option; MCOVB option; MODELSE option; RUPDATE= option; SORTED option; SUBCLUSTER= option; SUBJECT= option; TYPE= option; V6CORR option; WITHIN= option; WITHINSUBJECT= option; YPAIR= option; ZDATA= option; ZROW= option

GENMOD procedure, SCWGT statement

GENMOD procedure, VARIANCE statement

GENMOD procedure, WEIGHT statement

Gentleman-Givens computational method

geometric anisotropy: KRIGE2D procedure "Anisotropic Models"; KRIGE2D procedure "Anisotropic Models"; KRIGE2D procedure "Anisotropic Models"; KRIGE2D procedure "Anisotropic Models"; KRIGE2D procedure "Anisotropic Models"; KRIGE2D procedure "Anisotropic Models"; KRIGE2D procedure "Anisotropic Models"

GI option: RANDOM statement (MIXED)

GLM procedure: absorption of effects "ABSORB Statement"; absorption of effects "Absorption"; aliasing structure "Example 30.11: Analysis of a Screening Design"; aliasing structure "MODEL Statement"; alpha level "LSMEANS Statement"; alpha level "MEANS Statement"; alpha level "MODEL Statement"; alpha level "OUTPUT Statement"; at sign (@) operator; bar (|) operator; Bartlett's test "Homogeneity of Variance in One-Way Models"; Bartlett's test "MEANS Statement"; Bonferroni adjustment; Brown and Forsythe's test "Homogeneity of Variance in One-Way Models"; Brown and Forsythe's test "Homogeneity of Variance in One-Way Models"; Brown and Forsythe's test "MEANS Statement"; canonical analysis; characteristic roots and vectors; compared to other procedures "Comparison to Other SAS Software"; compared to other procedures "Contrasted with Other SAS Procedures"; compared to other procedures "Example 30.11: Analysis of a Screening Design"; compared to other procedures "Example 30.8: Mixed Model Analysis of Variance Using the RANDOM Statement"; compared to other procedures "Longley Data"; compared to other procedures "Overview"; compared to other procedures "PROC GLM Contrasted with Other SAS Procedures"; compared to other procedures "PROC MIXED Contrasted with Other SAS Procedures"; compared to other procedures "Random Effects Analysis"; compared to other procedures "RANDOM Statement"; comparing groups; computational method; computational resources; contrasts "CONTRAST Statement"; contrasts "REPEATED Statement"; covariate values for least-squares means; disk space; Dunnett's adjustment; effect specification; error effect; estimability "CONTRAST Statement"; estimability "ESTIMATE Statement"; estimability "ESTIMATE Statement"; estimability "Hypothesis Testing in PROC GLM"; estimability "LSMEANS Statement"; estimability "MODEL Statement"; estimability "Specification of ESTIMATE Expressions"; estimable functions; ESTIMATE specification; homogeneity of variance tests "Homogeneity of Variance in One-Way Models"; homogeneity of variance tests "MEANS Statement"; Hsu's adjustment; hypothesis tests "Hypothesis Testing in PROC GLM"; hypothesis tests "TEST Statement"; interactive use; interactivity and BY statement; interactivity and missing values "Missing Values"; interactivity and missing values "Using PROC GLM Interactively"; introductory example; least-squares means (LS-means); Levene's test for homogeneity of variance "Homogeneity of Variance in One-Way Models"; Levene's test for homogeneity of variance "MEANS Statement"; means; means versus least-squares means; memory requirements, reduction of; missing values "Construction of Least-Squares Means"; missing values "MANOVA Statement"; missing values "Missing Values"; missing values "PROC GLM Statement"; model specification; multiple comparisons, least-squares means "LSMEANS Statement"; multiple comparisons, least-squares means "LSMEANS Statement"; multiple comparisons, least-squares means "Multiple Comparisons"; multiple comparisons, least-squares means "Multiple Comparisons"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "MEANS Statement"; multiple comparisons, means "Multiple Comparisons"; multiple comparisons, means "Multiple Comparisons"; multiple comparisons, procedures; multivariate analysis of variance "MANOVA Statement"; multivariate analysis of variance "Multivariate Analysis of Variance"; multivariate analysis of variance "PROC GLM Statement"; nonstandard weights for least-squares means; O'Brien's test; observed margins for least-squares means; ODS table names; output data sets "Output Data Sets"; output data sets "Output Data Sets"; output data sets "Output Data Sets"; output data sets "OUTPUT Statement"; parameterization; positional requirements for statements; predicted population margins; Q effects; random effects "Random Effects Analysis"; random effects "Random Effects Analysis"; random effects "RANDOM Statement"; regression, quadratic; relation to GLMMOD procedure; repeated measures "Repeated Measures Analysis of Variance"; repeated measures "REPEATED Statement"; Sidak's adjustment; simple effects; simulation-based adjustment; singularity checking "CONTRAST Statement"; singularity checking "ESTIMATE Statement"; singularity checking "LSMEANS Statement"; singularity checking "MODEL Statement"; sphericity tests "Repeated Measures Analysis of Variance"; sphericity tests "REPEATED Statement"; SSCP matrix for multivariate tests; statistical assumptions; summary of features; tests, hypothesis; transformations for MANOVA; transformations for repeated measures; Tukey's adjustment; types of least-squares means comparisons; unbalanced analysis of variance "Example 30.3: Unbalanced ANOVA for Two-Way Design with Interaction"; unbalanced analysis of variance "Means Versus LS-Means"; unbalanced analysis of variance "PROC GLM for Unbalanced ANOVA"; unbalanced design "Example 30.3: Unbalanced ANOVA for Two-Way Design with Interaction"; unbalanced design "Example 30.8: Mixed Model Analysis of Variance Using the RANDOM Statement"; unbalanced design "Means Versus LS-Means"; unbalanced design "PROC GLM for Unbalanced ANOVA"; unbalanced design "Random Effects Analysis"; weighted analysis; weighted means; Welch's ANOVA; WHERE statement

GLM procedure, ABSORB statement

GLM procedure, BY statement

GLM procedure, CLASS statement

GLM procedure, CONTRAST statement: E option; E= option; ETYPE= option; INTERCEPT effect "CONTRAST Statement"; INTERCEPT effect "ESTIMATE Statement"; SINGULAR= option

GLM procedure, ESTIMATE statement: DIVISOR= option; E option; SINGULAR= option

GLM procedure, FREQ statement

GLM procedure, ID statement

GLM procedure, LSMEANS statement: ADJUST= option; ALPHA= option; AT option "Construction of Least-Squares Means"; AT option "LSMEANS Statement"; BYLEVEL option; BYLEVEL options; CL option; COV option; E option "LSMEANS Statement"; E option "LSMEANS Statement"; ETYPE option; NOPRINT option; OBSMARGINS option "Construction of Least-Squares Means"; OBSMARGINS option "LSMEANS Statement"; OM option "Construction of Least-Squares Means"; OM option "LSMEANS Statement"; OUT= option; PDIFF option; SINGULAR option; SLICE= option; STDERR option; TDIFF option

GLM procedure, MANOVA statement: _ALL_ effect (H= option); CANONICAL option; E= option; ETYPE= option; H= option; HTYPE= option; INTERCEPT effect (H= option); M= option; MNAMES= option; ORTH option; PREFIX= option; PRINTE option; PRINTH option; SUMMARY option

GLM procedure, MEANS statement: ALPHA= option; BON option; CLDIFF option; CLM option; DEPONLY option; DUNCAN option; DUNNETT option; DUNNETTL option; DUNNETTU option; E= option; ETYPE= option; GABRIEL option; GT2 option; HOVTEST option "Homogeneity of Variance in One-Way Models"; HOVTEST option "MEANS Statement"; HTYPE= option; KRATIO= option; LINES option; LSD option; NOSORT option; REGWQ option; SCHEFFE option; SIDAK option; SMM option; SNK option; T option; TUKEY option; WALLER option; WELCH option

GLM procedure, MODEL statement: ALIASING option "Example 30.11: Analysis of a Screening Design"; ALIASING option "MODEL Statement"; ALPHA= option; CLI option; CLM option; CLPARM option; E option; E1 option; E2 option; E3 option; E4 option; I option; INTERCEPT option; INVERSE option; NOINT option; NOUNI option; P option; SINGULAR= option; SOLUTION option; SS1 option; SS2 option; SS3 option; SS4 option; TOLERANCE option; XPX option; ZETA= option

GLM procedure, OUTPUT statement: ALPHA= option; COOKD keyword; COVRATIO keyword; DFFITS keyword; H keyword; keyword= option; LCL keyword; LCLM keyword; OUT= option; PREDICTED keyword; PRESS keyword; RESIDUAL keyword; RSTUDENT keyword; STDI keyword; STDP keyword; STDR keyword; STUDENT keyword; UCL keyword; UCLM keyword

GLM procedure, PROC GLM statement: ALPHA= option; DATA= option; MANOVA option; MULTIPASS option; NAMELEN= option; NOPRINT option; ORDER= option "PROC GLM Statement"; ORDER= option "Specification of ESTIMATE Expressions"; OUTSTAT= option

GLM procedure, RANDOM statement: Q option "Random Effects Analysis"; Q option "RANDOM Statement"; TEST option

GLM procedure, REPEATED statement: CANONICAL option; CONTRAST option "Repeated Measures Analysis of Variance"; CONTRAST option "REPEATED Statement"; E= option; factor specification; H= option; HELMERT option "Repeated Measures Analysis of Variance"; HELMERT option "REPEATED Statement"; HTYPE= option; IDENTITY option "Example 30.9: Analyzing a Doubly-multivariate Repeated Measures Design"; IDENTITY option "REPEATED Statement"; MEAN option "Repeated Measures Analysis of Variance"; MEAN option "REPEATED Statement"; MEAN option "REPEATED Statement"; NOM option; NOU option; POLYNOMIAL option "Example 30.7: Repeated Measures Analysis of Variance"; POLYNOMIAL option "Repeated Measures Analysis of Variance"; POLYNOMIAL option "REPEATED Statement"; PRINTE option "Repeated Measures Analysis of Variance"; PRINTE option "REPEATED Statement"; PRINTH option; PRINTM option; PRINTRV option; PROFILE option "Repeated Measures Analysis of Variance"; PROFILE option "REPEATED Statement"; SUMMARY option

GLM procedure, TEST statement: ETYPE= option; HTYPE= option

GLM procedure, WEIGHT statement

GLMMOD alternative: TRANSREG procedure "OUTPUT Statement"; TRANSREG procedure "Using the DESIGN Output Option"

GLMMOD procedure: design matrix "Displayed Output"; design matrix "OUTDESIGN= Data Set"; design matrix "OUTDESIGN= Data Set"; design matrix "Overview"; input data sets; introductory example; missing values "Missing Values"; missing values "OUTDESIGN= Data Set"; missing values "OUTPARM= Data Set"; ODS table names; output data sets "OUTDESIGN= Data Set"; output data sets "OUTPARM= Data Set"; output data sets "PROC GLMMOD Statement"; output data sets "PROC GLMMOD Statement"; relation to GLM procedure; screening experiments

GLMMOD procedure, BY statement

GLMMOD procedure, CLASS statement

GLMMOD procedure, FREQ statement

GLMMOD procedure, MODEL statement: NOINT option

GLMMOD procedure, PROC GLMMOD statement: DATA= option; NAMELEN= option; NOPRINT option; ORDER= option; OUTDESIGN= option "OUTDESIGN= Data Set"; OUTDESIGN= option "PROC GLMMOD Statement"; OUTPARM= option "OUTPARM= Data Set"; OUTPARM= option "PROC GLMMOD Statement"; PREFIX= option; ZEROBASED option

GLMMOD procedure, WEIGHT statement

global influence: LD statistic (PHREG) "Influence of Observations on Overall Fit of the Model"; LD statistic (PHREG) "OUTPUT Statement"; LMAX statistic (PHREG) "Influence of Observations on Overall Fit of the Model"; LMAX statistic (PHREG) "OUTPUT Statement"

global kriging: KRIGE2D procedure

global null hypothesis: PHREG procedure "Displayed Output"; PHREG procedure "Getting Started"; PHREG procedure "Testing the Global Null Hypothesis"; score test (PHREG) "Example 49.1: Stepwise Regression"; score test (PHREG) "MODEL Statement"