SAS/STAT User's Guide

MEAN option: REPEATED statement (GLM) "Repeated Measures Analysis of Variance"; REPEATED statement (GLM) "REPEATED Statement"; REPEATED statement (GLM) "REPEATED Statement"; TEST statement (MULTTEST) "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"; TEST statement (MULTTEST) "Statistical Tests"

MEAN= option: PROC FASTCLUS statement

mean per element: SURVEYMEANS procedure

MEAN statement: SIM2D procedure

mean survival time: LIFETEST procedure

means: ANOVA procedure; compared to least-squares means (GLM); displayed in CLUSTER procedure; GLM procedure; SURVEYMEANS procedure; weighted (GLM)

MEANS option: OUTPUT statement (TRANSREG)

MEANS procedure

MEANS statement: ANOVA procedure; GLM procedure

means, difference between: independent samples "Example 67.1: Comparing Group Means Using Input Data Set of Summary Statistics"; independent samples "Overview"; paired observations

measurement level: MDS procedure "Overview"; MDS procedure "PROC MDS Statement"

measures of agreement

MEASURES option: EXACT statement (FREQ); OUTPUT statement (FREQ); TABLES statement (FREQ); TEST statement (FREQ)

MEC option: OUTPUT statement (TRANSREG)

median: cluster; method (CLUSTER) "Clustering Methods"; method (CLUSTER) "PROC CLUSTER Statement"; scores (NPAR1WAY)

MEDIAN option: EXACT statement (NPAR1WAY); OUTPUT statement (NPAR1WAY); PROC NPAR1WAY statement

Mehta and Patel, network algorithm

memory requirements: ACECLUS procedure; CLUSTER procedure; FACTOR procedure; FASTCLUS procedure; INBREED procedure; MIXED procedure; reduction of (ANOVA); reduction of (GLM); VARCLUS procedure

memory usage: SIM2D procedure

Merle-Spath algorithm: FASTCLUS procedure

METHOD= option: BASELINE statement (PHREG); MODEL statement (TRANSREG); OUTPUT statement (PHREG); PROC ACECLUS statement; PROC CALIS statement; PROC DISCRIM statement; PROC FACTOR statement; PROC KDE statement; PROC LIFETEST statement; PROC MIXED statement "Example 41.2: Repeated Measures"; PROC MIXED statement "PROC MIXED Statement"; PROC MODECLUS statement; PROC NLIN statement; PROC NLMIXED statement; PROC PLS statement; PROC PRINQUAL statement; PROC STDIZE statement; PROC STEPDISC statement; PROC SURVEYSELECT statement; PROC VARCOMP statement

METHOD= specification: PROC CLUSTER statement

methods of estimation: VARCOMP procedure "Example 69.1: Using the Four Estimation Methods"; VARCOMP procedure "Overview"

metric multidimensional scaling: MDS procedure

METRIC= option: PROC ACECLUS statement; PROC DISCRIM statement

MGV method: PRINQUAL procedure

MHCHI option: EXACT statement (FREQ); OUTPUT statement (FREQ)

MHOR option: OUTPUT statement (FREQ)

MHRRC1 option: OUTPUT statement (FREQ)

MHRRC2 option: OUTPUT statement (FREQ)

MINC= option: PROC VARCLUS statement

MINCLUSTERS= option: PROC VARCLUS statement

MINCRIT= option: PROC MDS statement

MINEIGEN= option: PROC FACTOR statement

MINHEIGHT= option: PROC TREE statement

minimum generalized variance method: PRINQUAL procedure

MINIMUM option: RIDGE statement (RSREG)

MININERTIA= option: PROC CORRESP statement

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

Minkowski metric: STDIZE procedure

MINPOINTS= option: PREDICT statement (KRIGE2D)

MINSIZE option: PROC SURVEYSELECT statement

MINSIZE= option: PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"; PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"

misclassification probabilities: discriminant analysis

MISSBREAK option: PLOT statement (BOXPLOT)

missing level combinations: MIXED procedure

MISSING option: PROC CORRESP statement; PROC LIFETEST statement; PROC NPAR1WAY statement; PROC SURVEYMEANS statement; STRATA statement (PHREG); TABLES statement (FREQ)

MISSING= option: PROC STDIZE statement

missing values: ACECLUS procedure; and interactivity (GLM); CANCORR procedure; character (PRINQUAL); CLUSTER procedure; FASTCLUS procedure "Background"; FASTCLUS procedure "Background"; FASTCLUS procedure "Missing Values"; FASTCLUS procedure "PROC FASTCLUS Statement"; FASTCLUS procedure "PROC FASTCLUS Statement"; LIFEREG procedure; LIFETEST procedure; LOGISTIC procedure; MDS procedure; MODECLUS procedure; MULTTEST procedure; NPAR1WAY procedure; PHREG procedure "Example 49.4: Model Using Time-Dependent Explanatory Variables"; PHREG procedure "MODEL Statement"; PHREG procedure "Programming Statements"; PRINCOMP procedure; PRINQUAL procedure "Missing Values"; PRINQUAL procedure "Passive Observations"; PRINQUAL procedure "PROC PRINQUAL Statement"; PROBIT procedure; SCORE procedure; STDIZE procedure "PROC STDIZE Statement"; STDIZE procedure "PROC STDIZE Statement"; STDIZE procedure "PROC STDIZE Statement"; strata variables (PHREG); SURVEYMEANS procedure "Missing Values"; SURVEYMEANS procedure "PROC SURVEYMEANS Statement"; SURVEYREG procedure; SURVEYSELECT procedure; TRANSREG procedure "Missing Values"; TRANSREG procedure "Missing Values, UNTIE, and Hypothesis Tests"; TRANSREG procedure "MODEL Statement"; TRANSREG procedure "Passive Observations"; TREE procedure; VARCOMP procedure

MISSPRINT option: TABLES statement (FREQ)

mixed model: unbalanced (GLM); VARCOMP procedure

mixed model (MIXED): estimation; formulation; hypothesis tests "Default Output"; hypothesis tests "Mixed Models Theory"; inference; inference space "CONTRAST Statement"; inference space "CONTRAST Statement"; inference space "ESTIMATE Statement"; inference space "Example 41.1: Split-Plot Design"; least-squares means; likelihood ratio test "Mixed Models Theory"; likelihood ratio test "Mixed Models Theory"; linear model; maximum likelihood estimation; notation; objective function; parameterization; predicted values; restricted maximum likelihood; theory; Wald test "Example 41.2: Repeated Measures"; Wald test "Mixed Models Theory"

mixed model equations: example (MIXED); MIXED procedure "Mixed Models Theory"; MIXED procedure "PROC MIXED Statement"

MIXED procedure: Akaike's information criterion "Default Output"; Akaike's information criterion "Mixed Models Theory"; Akaike's information criterion "PROC MIXED Statement"; ante-dependence structure; ARIMA procedure, compared; ARMA structure; assumptions; asymptotic covariance; at sign (@) operator "Example 41.6: Line-Source Sprinkler Irrigation"; at sign (@) operator "Parameterization of Mixed Models"; AUTOREG procedure, compared; autoregressive structure "Example 41.2: Repeated Measures"; autoregressive structure "REPEATED Statement"; banded Toeplitz structure; bar (|) operator "Example 41.6: Line-Source Sprinkler Irrigation"; bar (|) operator "Parameterization of Mixed Models"; bar (|) operator "Parameterization of Mixed Models"; basic features; Bayesian analysis; between-within method; BLUE; BLUP "Example 41.4: Known G and R"; BLUP "Mixed Models Theory"; Bonferroni adjustment; boundary constraints "Computational Issues"; boundary constraints "PARMS Statement"; boundary constraints "PARMS Statement"; BYLEVEL processing of LSMEANS; CALIS procedure, compared; Cholesky root "Computational Issues"; Cholesky root "MODEL Statement"; class level; classification variables; compound symmetry structure "Example 41.2: Repeated Measures"; compound symmetry structure "Example 41.2: Repeated Measures"; compound symmetry structure "Mixed Models Theory"; compound symmetry structure "REPEATED Statement"; computational details; computational order; confidence interval "ESTIMATE Statement"; confidence interval "RANDOM Statement"; confidence limits "ESTIMATE Statement"; confidence limits "LSMEANS Statement"; confidence limits "MODEL Statement"; confidence limits "PROC MIXED Statement"; confidence limits "RANDOM Statement"; containment method; continuous effects "RANDOM Statement"; continuous effects "RANDOM Statement"; continuous effects "REPEATED Statement"; continuous effects "REPEATED Statement"; continuous-by-class effects; continuous-nesting-class effects; contrasted SAS procedures "Contrasted with Other SAS Procedures"; contrasted SAS procedures "Example 30.8: Mixed Model Analysis of Variance Using the RANDOM Statement"; contrasted SAS procedures "PROC GLM Contrasted with Other SAS Procedures"; contrasted SAS procedures "PROC MIXED Contrasted with Other SAS Procedures"; contrasted SAS procedures "PROC MIXED Contrasted with Other SAS Procedures"; contrasted SAS procedures "PROC MIXED Contrasted with Other SAS Procedures"; contrasted SAS procedures "PROC MIXED Contrasted with Other SAS Procedures"; contrasted SAS procedures "Random Effects Analysis"; contrasts "CONTRAST Statement"; contrasts "ESTIMATE Statement"; convergence criterion "Computational Issues"; convergence criterion "Default Output"; convergence criterion "PROC MIXED Statement"; convergence criterion "PROC MIXED Statement"; convergence problems; correlation estimates "Example 41.2: Repeated Measures"; correlation estimates "RANDOM Statement"; correlation estimates "RANDOM Statement"; correlation estimates "REPEATED Statement"; correlations of least-squares means; covariance parameter estimates "Default Output"; covariance parameter estimates "PROC MIXED Statement"; covariance parameter estimates "PROC MIXED Statement"; covariance parameter estimates, ratio; covariance parameters; covariance structures "Example 41.2: Repeated Measures"; covariance structures "Notation for the Mixed Model"; covariance structures "REPEATED Statement"; covariance structures "REPEATED Statement"; covariances of least-squares means; covariate values for LSMEANS; covariates; CPU requirements; crossed effects; degrees of freedom "Computational Issues"; degrees of freedom "CONTRAST Statement"; degrees of freedom "CONTRAST Statement"; degrees of freedom "CONTRAST Statement"; degrees of freedom "Default Output"; degrees of freedom "ESTIMATE Statement"; degrees of freedom "ESTIMATE Statement"; degrees of freedom "Example 41.4: Known G and R"; degrees of freedom "LSMEANS Statement"; degrees of freedom "LSMEANS Statement"; degrees of freedom "Mixed Models Theory"; degrees of freedom "MODEL Statement"; degrees of freedom "MODEL Statement"; degrees of freedom "MODEL Statement"; degrees of freedom "Parameterization of Mixed Models"; dimensions "PROC MIXED Statement"; dimensions "PROC MIXED Statement"; direct product structure; Dunnett's adjustment; EBLUPs "Example 41.3: Plotting the Likelihood"; EBLUPs "Example 41.5: Random Coefficients"; EBLUPs "Mixed Models Theory"; EBLUPs "RANDOM Statement"; effect name length; empirical best linear unbiased prediction; empirical sandwich estimator; estimability "CONTRAST Statement"; estimability "CONTRAST Statement"; estimability "CONTRAST Statement"; estimability "ESTIMATE Statement"; estimability "LSMEANS Statement"; estimability "LSMEANS Statement"; estimability "Mixed Models Theory"; estimability "MODEL Statement"; estimability "MODEL Statement"; estimability "Parameterization of Mixed Models"; estimation methods; factor analytic structures; Fisher information matrix "Default Output"; Fisher information matrix "Example 41.3: Plotting the Likelihood"; Fisher's scoring method "Computational Issues"; Fisher's scoring method "PROC MIXED Statement"; Fisher's scoring method "PROC MIXED Statement"; fitting information "Default Output"; fitting information "Default Output"; fixed effects; fixed-effects parameters "Mixed Models Theory"; fixed-effects parameters "MODEL Statement"; fixed-effects parameters "Overview"; fixed-effects variance matrix; function evaluations; G matrix; general linear structure; generalized inverse "CONTRAST Statement"; generalized inverse "Mixed Models Theory"; gradient "Default Output"; gradient "PROC MIXED Statement"; gradient "PROC MIXED Statement"; grid search "Example 41.3: Plotting the Likelihood"; grid search "PARMS Statement"; growth curve analysis; Hessian matrix "Computational Issues"; Hessian matrix "Computational Issues"; Hessian matrix "Default Output"; Hessian matrix "Default Output"; Hessian matrix "Example 41.2: Repeated Measures"; Hessian matrix "Example 41.3: Plotting the Likelihood"; Hessian matrix "PARMS Statement"; Hessian matrix "PROC MIXED Statement"; Hessian matrix "PROC MIXED Statement"; Hessian matrix "PROC MIXED Statement"; heterogeneity "Example 41.2: Repeated Measures"; heterogeneity "RANDOM Statement"; heterogeneity "RANDOM Statement"; heterogeneity "REPEATED Statement"; heterogeneity "REPEATED Statement"; heterogeneous AR(1) structure; heterogeneous compound-symmetry structure; heterogeneous covariance structures; heterogeneous Toeplitz structure; hierarchical model; Hotelling-Lawley-McKeon statistic; Hotelling-Lawley-Pillai-Sampson statistic; Hsu's adjustment; Huynh-Feldt structure; infinite likelihood "Computational Issues"; infinite likelihood "Computational Issues"; infinite likelihood "REPEATED Statement"; information criteria; initial values; input data sets; interaction effects; intercept; intercept effect "MODEL Statement"; intercept effect "RANDOM Statement"; intraclass correlation coefficient; introductory example; iterations "Default Output"; iterations "PROC MIXED Statement"; Kenward-Roger method; Kronecker product structure; L matrices "CONTRAST Statement"; L matrices "LSMEANS Statement"; L matrices "Mixed Models Theory"; LATTICE procedure, compared; least-square means; least-squares means "Example 41.6: Line-Source Sprinkler Irrigation"; least-squares means "LSMEANS Statement"; likelihood ratio test; linear structure; log-linear variance model; main effects; matrix notation; memory requirements; missing level combinations; mixed linear model; mixed model; mixed model equations "Example 41.3: Plotting the Likelihood"; mixed model equations "Mixed Models Theory"; mixed model equations "PROC MIXED Statement"; mixed model theory; model information; model selection; multilevel model; multiple comparisons of least-squares means "LSMEANS Statement"; multiple comparisons of least-squares means "LSMEANS Statement"; multiple tables; multivariate tests; nested effects; nested error structure; NESTED procedure, compared; Newton-Raphson algorithm; nonfull-rank parameterization "Parameterization of Mixed Models"; nonfull-rank parameterization "PROC MIXED Contrasted with Other SAS Procedures"; nonfull-rank parameterization "REPEATED Statement"; nonstandard weights for LSMEANS; nugget effect; observed margins for LSMEANS; ordering of effects "Parameterization of Mixed Models"; ordering of effects "PROC MIXED Statement"; output changes; output data sets; over-parameterization; parameter constraints "Computational Issues"; parameter constraints "PARMS Statement"; parameterization; pharmaceutical stability, example; plotting the likelihood; polynomial effects; power-of-the-mean model; predicted means; predicted value confidence intervals; predicted values "Example 41.3: Plotting the Likelihood"; predicted values "MODEL Statement"; prior density; profiling residual variance "Computational Issues"; profiling residual variance "Mixed Models Theory"; profiling residual variance "PARMS Statement"; profiling residual variance "PROC MIXED Statement"; profiling residual variance "REPEATED Statement"; R matrix "REPEATED Statement"; R matrix "REPEATED Statement"; random coefficients "Example 41.2: Repeated Measures"; random coefficients "Example 41.5: Random Coefficients"; random effects "Notation for the Mixed Model"; random effects "RANDOM Statement"; random-effects parameter; random-effects parameters "Mixed Models Theory"; random-effects parameters "Overview"; regression effects; rejection sampling; repeated measures "Example 41.2: Repeated Measures"; repeated measures "Overview"; repeated measures "REPEATED Statement"; residual method; residual variance tolerance; restricted maximum likelihood (REML); ridging "Mixed Models Theory"; ridging "PROC MIXED Statement"; sandwich estimator; Satterthwaite method; Schwarz's Bayesian information criterion "Default Output"; Schwarz's Bayesian information criterion "Mixed Models Theory"; Schwarz's Bayesian information criterion "PROC MIXED Statement"; scoring "Computational Issues"; scoring "PROC MIXED Statement"; scoring "PROC MIXED Statement"; Sidak's adjustment; simple effects; simulation-based adjustment; singularities; spatial anisotropic exponential structure; spatial covariance structures "Computational Issues"; spatial covariance structures "REPEATED Statement"; spatial covariance structures "REPEATED Statement"; spatial covariance structures "REPEATED Statement"; split-plot design "Example 41.1: Split-Plot Design"; split-plot design "Mixed Models Theory"; standard linear model; statement positions; subject effect "Computational Issues"; subject effect "CONTRAST Statement"; subject effect "Example 41.1: Split-Plot Design"; subject effect "RANDOM Statement"; subject effect "REPEATED Statement"; summary of commands; sweep operator; table names; tables; Toeplitz structure "Example 41.6: Line-Source Sprinkler Irrigation"; Toeplitz structure "REPEATED Statement"; TSCSREG procedure, compared; Tukey's adjustment; Type 1 estimation; Type 2 estimation; Type 3 estimation; Type I testing; Type II testing; Type III testing "Default Output"; Type III testing "MODEL Statement"; unstructured correlations; unstructured covariance matrix; unstructured R matrix; VARCOMP procedure, example; variance components "Overview"; variance components "REPEATED Statement"; variance ratios "PARMS Statement"; variance ratios "RANDOM Statement"; Wald test "Default Output"; Wald test "Default Output"; weighted LSMEANS; weighting; zero design columns; zero variance component estimates

MIXED procedure, BY statement

MIXED procedure, CLASS statement

MIXED procedure, CONTRAST statement: CHISQ option; DF= option; E option; GROUP option; SINGULAR= option; SUBJECT option

MIXED procedure, ESTIMATE statement: ALPHA= option; CL option; DF= option; DIVISOR= option; E option; GROUP option; LOWERTAILED option; SINGULAR= option; SUBJECT option; UPPERTAILED option

MIXED procedure, ID statement

MIXED procedure, LSMEANS statement: ADJUST= option; ALPHA= option; AT MEANS option; AT option "LSMEANS Statement"; AT option "LSMEANS Statement"; BYLEVEL option "LSMEANS Statement"; BYLEVEL option "LSMEANS Statement"; CL option; CORR option; COV option; DF= option; DIFF option; E option; OBSMARGINS option; PDIFF option "LSMEANS Statement"; PDIFF option "LSMEANS Statement"; SINGULAR= option; SLICE= option

MIXED procedure, MAKE statement

MIXED procedure, MODEL statement: ALPHAP= option; CHISQ option; CL option; CONTAIN option "MODEL Statement"; CONTAIN option "MODEL Statement"; CORRB option; COVB option; COVBI option; DDF= option; DDFM= option; E option; E1 option; E2 option; E3 option; FULLX option "LSMEANS Statement"; FULLX option "MODEL Statement"; HTYPE= option; NOCONTAIN option; NOINT option "MODEL Statement"; NOINT option "Parameterization of Mixed Models"; NOTEST option; ORDER= option; OUTP= option; OUTPRED= option; OUTPREDM= option; SINGCHOL= option; SINGRES= option; SINGULAR= option; SOLUTION option "MODEL Statement"; SOLUTION option "Parameterization of Mixed Models"; XPVIX option; XPVIXI option; ZETA= option

MIXED procedure, PARMS statement: EQCONS= option; HOLD= option; LOGDETH option; LOWERB= option; NOBOUND option; NOITER option; NOPROFILE option; OLS option; PARMSDATA= option; PDATA= option; RATIOS option; UPPERB= option

MIXED procedure, PRIOR statement: ALG= option; BDATA= option; DATA= option; FLAT option; GRID= option; GRIDT= option; IFACTOR= option; JEFFREYS option; LOGNOTE= option; LOGRBOUND= option; NSAMPLE= option; NSEARCH= option; OUT= option; OUTG= option; OUTGT= option; PSEARCH option; PTRANS option; SEED= option; SFACTOR= option; TDATA= option; TRANS= option; UPDATE= option

MIXED procedure, PROC MIXED statement: ABSOLUTE option "Default Output"; ABSOLUTE option "PROC MIXED Statement"; ALPHA= option; ASYCORR option; ASYCOV option "Example 41.3: Plotting the Likelihood"; ASYCOV option "PROC MIXED Statement"; CL= option; CONVF option "Default Output"; CONVF option "PROC MIXED Statement"; CONVG option "Default Output"; CONVG option "PROC MIXED Statement"; CONVH option "Default Output"; CONVH option "PROC MIXED Statement"; COVTEST option "Default Output"; COVTEST option "PROC MIXED Statement"; DATA= option; DFBW option; IC option; INFO option; ITDETAILS option; LOGNOTE option; MAXFUNC= option; MAXITER= option; METHOD= option "Example 41.2: Repeated Measures"; METHOD= option "PROC MIXED Statement"; MMEQ option "Example 41.3: Plotting the Likelihood"; MMEQ option "PROC MIXED Statement"; MMEQSOL option "Example 41.3: Plotting the Likelihood"; MMEQSOL option "PROC MIXED Statement"; NAMELEN= option; NOBOUND option; NOCLPRINT option; NOINFO option; NOITPRINT option; NOPROFILE option "Mixed Models Theory"; NOPROFILE option "PROC MIXED Statement"; ORD option; ORDER= option "Parameterization of Mixed Models"; ORDER= option "PROC MIXED Statement"; RATIO option "Default Output"; RATIO option "PROC MIXED Statement"; RIDGE= option; SCORING= option; SIGITER option; UPDATE option

MIXED procedure, RANDOM statement: ALPHA= option; CL option; G option; GC option; GCI option; GCORR option; GDATA= option; GI option; GROUP= option; LDATA= option; NOFULLZ option; RATIOS option; SOLUTION option; SUBJECT= option "CONTRAST Statement"; SUBJECT= option "RANDOM Statement"; TYPE= option; V option; VC option; VCI option; VCORR option; VI option

MIXED procedure, REPEATED statement: GROUP= option; HLM option; HLPS option; LDATA= option; LOCAL= option; LOCALW option; NONLOCALW option; R option; RC option; RCI option; RCORR option; RI option; SSCP option; SUBJECT= option; TYPE= option

MIXED procedure, WEIGHT statement

ML factor analysis: and computer time; and multivariate normal distribution

ML option: MODEL statement (CATMOD)

MMEQ option: PROC MIXED statement "Example 41.3: Plotting the Likelihood"; PROC MIXED statement "PROC MIXED Statement"

MMEQSOL option: PROC MIXED statement "Example 41.3: Plotting the Likelihood"; PROC MIXED statement "PROC MIXED Statement"

MNAMES= option: MANOVA statement (ANOVA); MANOVA statement (GLM)

modal clusters: density estimation (CLUSTER)

modal region, definition

MODE= option: PROC CLUSTER statement; PROC MODECLUS statement

MODECLUS procedure: analyzing data in groups "Clustering Methods"; analyzing data in groups "Getting Started"; cascaded density estimates "Density Estimation"; cascaded density estimates "Density Estimation"; clustering methods "Clustering Methods"; clustering methods "Overview"; clusters, definition; clusters, plotting; compared with other procedures; cross validated density estimates; density estimation; example using GPLOT procedure "Example 42.3: Cluster Analysis with Significance Tests"; example using GPLOT procedure "Example 42.4: Cluster Analysis: Hertzsprung-Russell Plot"; example using TRACE option; example using TRANSPOSE procedure; fixed-radius kernels; functional summary; Hertzsprung-Russell Plot, example; JOIN option, discussion; modal region; neighborhood distribution function (NDF), definition; nonparametric clustering methods; output data sets; p-value computation; plotting samples from univariate distributions; population clusters, risks of estimating; saddle test, definition; scaling variables; significance tests; standardizing; summary of options; variable-radius kernels

MODECLUS procedure, BY statement

MODECLUS procedure, FREQ statement

MODECLUS procedure, ID statement

MODECLUS procedure, PROC MODECLUS statement: ALL option; AM option; BOUNDARY option; CASCADE= option; CK= option; CLUSTER= option; CORE option; CR= option; CROSS option; CROSSLIST option; DATA= option; DENSITY= option; DIMENSION= option; DK= option; DOCK= option; DR= option; EARLY option; HM option; JOIN= option; K= option; LIST option; LOCAL option; MAXCLUSTERS= option; METHOD= option; MODE= option; NEIGHBOR option; NOPRINT option; NOSUMMARY option; OUT= option; OUTCLUS= option; OUTLENGTH= option; OUTSUM= option; POWER= option; R= option; SHORT option; SIMPLE option; STANDARD option; SUM option; TEST option; THRESHOLD= option; TRACE option

MODECLUS procedure, VAR statement

model: fit summary (REG); fitting criteria (LOGISTIC); hierarchy (LOGISTIC) "MODEL Statement"; hierarchy (LOGISTIC) "Overview"; information (MIXED); parameterization (GLM); specification (ANOVA); specification (GLM); specification (LIFEREG); specification (NLMIXED

model selection: entry (PHREG); examples (REG); LOGISTIC procedure "Effect Selection Methods"; LOGISTIC procedure "MODEL Statement"; LOGISTIC procedure "MODEL Statement"; MIXED procedure; PHREG procedure "MODEL Statement"; PHREG procedure "MODEL Statement"; PHREG procedure "Overview"; PHREG procedure "Variable Selection Methods"; REG procedure "Criteria Used in Model-Selection Methods"; REG procedure "Limitations in Model-Selection Methods"; REG procedure "Model-Selection Methods"; REG procedure "Model-Selection Methods"; REG procedure "Overview"; removal (PHREG)

MODEL statement: ANOVA procedure; CATMOD procedure; GENMOD procedure; GLM procedure; GLMMOD procedure; KRIGE2D procedure; LIFEREG procedure; LOESS procedure; LOGISTIC procedure; MIXED procedure; NLIN procedure; NLMIXED procedure; ORTHOREG procedure; PHREG procedure; PLS procedure; REG procedure; RSREG procedure; SURVEYREG procedure; TPSPLINE procedure; TRANSREG procedure; VARCOMP procedure

MODELFONT option: PLOT statement (REG)

MODELHT option: PLOT statement (REG)

MODELLAB option: PLOT statement (REG)

MODELSE option: REPEATED statement (GENMOD)

modification indices: CALIS procedure "Approximate Standard Errors"; CALIS procedure "Modification Indices"; CALIS procedure "PROC CALIS Statement"; constraints (CALIS) "PROC CALIS Statement"; constraints (CALIS) "PROC CALIS Statement"; displaying (CALIS); Lagrange multiplier test (CALIS) "Modification Indices"; Lagrange multiplier test (CALIS) "Modification Indices"; Lagrange multiplier test (CALIS) "Modification Indices"; Lagrange multiplier test (CALIS) "PROC CALIS Statement"; Wald test (CALIS) "Modification Indices"; Wald test (CALIS) "Modification Indices"; Wald test (CALIS) "PROC CALIS Statement"

MODIFICATION option: PROC CALIS statement

modified ridit scores

monoecious population analysis: example (INBREED)

monotone: regression function (TRANSREG); transformations (TRANSREG)

MONOTONE= option: MODEL statement (TRANSREG); PROC PRINQUAL statement

MONOTONE transformation: MODEL statement (TRANSREG); TRANSFORM statement (PRINQUAL)

monotonic: transformation (PRINQUAL); transformation (TRANSREG) "MODEL Statement"; transformation (TRANSREG) "MODEL Statement"; transformation (TRANSREG) "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"; transformation, B-spline (PRINQUAL); transformation, B-spline (TRANSREG) "MODEL Statement"; transformation, B-spline (TRANSREG) "SPLINE and MSPLINE Transformations"

Monte Carlo estimation: FREQ procedure "EXACT Statement"; FREQ procedure "Exact Statistics"; NPAR1WAY procedure

MOOD option: EXACT statement (NPAR1WAY); OUTPUT statement (NPAR1WAY); PROC NPAR1WAY statement

Mood scores: NPAR1WAY procedure

MORALS method: TRANSREG procedure

mortality test: MULTTEST procedure "Example 43.3: Peto Test"; MULTTEST procedure "Statistical Tests"

MPAIRS= option: PROC ACECLUS statement

MPC option: OUTPUT statement (TRANSREG)

MQC option: OUTPUT statement (TRANSREG)

MRC option: OUTPUT statement (TRANSREG)

MREDUNDANCY option: OUTPUT statement (TRANSREG)

MSA option: PROC FACTOR statement

MSE: SURVEYREG procedure

MSE option: MODEL statement (REG); PLOT statement (REG)

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

MSPLINE transformation: MODEL statement (TRANSREG); TRANSFORM statement (PRINQUAL)

MTEST statement: REG procedure

MTV method: PRINQUAL procedure

MULT= option: PROC STDIZE statement

multicollinearity: REG procedure

multidimensional preference analysis: PRINQUAL procedure

multidimensional scaling: MDS procedure; metric (MDS); nonmetric (MDS) "Overview"; nonmetric (MDS) "Overview"; three-way (MDS)

multilevel model: example (MIXED)

multilevel response

multinomial: distribution (GENMOD); models (GENMOD)

MULTIPASS option: PROC ANOVA statement; PROC GLM statement; PROC PHREG statement

multiple classifications: cutpoints (LOGISTIC)

multiple comparison procedures: GLM procedure; multiple-stage tests; pairwise (GLM) "Multiple Comparisons"; pairwise (GLM) "Multiple Comparisons"; recommendations; with a control (GLM) "Multiple Comparisons"; with a control (GLM) "Multiple Comparisons"

multiple comparisons adjustment (MIXED): least-squares means

multiple comparisons of least-squares means: GLM procedure "LSMEANS Statement"; GLM procedure "Multiple Comparisons"; interpretation; MIXED procedure "LSMEANS Statement"; MIXED procedure "LSMEANS Statement"

multiple comparisons of means: ANOVA procedure; Bonferroni t test "MEANS Statement"; Bonferroni t test "MEANS Statement"; Duncan's multiple range test "MEANS Statement"; Duncan's multiple range test "MEANS Statement"; Dunnett's test "MEANS Statement"; Dunnett's test "MEANS Statement"; Dunnett's test "MEANS Statement"; Dunnett's test "MEANS Statement"; Dunnett's test "MEANS Statement"; Dunnett's test "MEANS Statement"; error mean square "MEANS Statement"; error mean square "MEANS Statement"; examples; Fisher's LSD test "MEANS Statement"; Fisher's LSD test "MEANS Statement"; Gabriel's procedure "MEANS Statement"; Gabriel's procedure "MEANS Statement"; GLM procedure "Multiple Comparisons"; GLM procedure "Multiple Comparisons"; GT2 method "MEANS Statement"; GT2 method "MEANS Statement"; interpretation; Ryan-Einot-Gabriel-Welsch test "MEANS Statement"; Ryan-Einot-Gabriel-Welsch test "MEANS Statement"; Scheff's procedure; Sheff's procedure; Sidak's adjustment "MEANS Statement"; Sidak's adjustment "MEANS Statement"; SMM "MEANS Statement"; SMM "MEANS Statement"; Student-Newman-Keuls test "MEANS Statement"; Student-Newman-Keuls test "MEANS Statement"; Tukey's studentized range test "MEANS Statement"; Tukey's studentized range test "MEANS Statement"; Waller-Duncan method; Waller-Duncan test "MEANS Statement"; Waller-Duncan test "MEANS Statement"

multiple correspondence analysis (MCA): CORRESP procedure "Algorithm and Notation"; CORRESP procedure "Example 24.2: Multiple Correspondence Analysis of Cars and Their Owners"; CORRESP procedure "PROC CORRESP Statement"

multiple R-squared: SURVEYREG procedure

multiple redundancy coefficients: TRANSREG procedure

multiple regression: TRANSREG procedure

multiple tables: MIXED procedure

multiple-stage tests

MULTIPLEGROUP option: PROC VARCLUS statement

multiplicative hazards model: PHREG procedure "Example 49.8: Multiple Failure Outcomes"; PHREG procedure "The Multiplicative Hazards Model"

multistage sampling

multivariate analysis of variance: CANDISC procedure; examples (GLM); GLM procedure "MANOVA Statement"; GLM procedure "Multivariate Analysis of Variance"; GLM procedure "PROC GLM Statement"; hypothesis tests (GLM); partial correlations

multivariate general linear hypothesis

multivariate multiple regression: TRANSREG procedure

multivariate tests: MIXED procedure; REG procedure; repeated measures "Repeated Measures Analysis of Variance"; repeated measures "Repeated Measures Analysis of Variance"; repeated measures "Repeated Measures Analysis of Variance"; repeated measures "Repeated Measures Analysis of Variance"

MULTTEST procedure: adjusted p-value "Overview"; adjusted p-value "p-Value Adjustments"; Bonferroni adjustment "p-Value Adjustments"; Bonferroni adjustment "PROC MULTTEST Statement"; bootstrap adjustment "Drug Example"; bootstrap adjustment "p-Value Adjustments"; bootstrap adjustment "PROC MULTTEST Statement"; Cochran-Armitage test "Example 43.1: Cochran-Armitage Test with Permutation Resampling"; Cochran-Armitage test "Statistical Tests"; Cochran-Armitage test "Statistical Tests"; Cochran-Armitage test "TEST Statement"; computational resources; convolution distribution; displayed output; expected trend; false discovery rate adjustment; fast Fourier transform; Fisher exact test "CONTRAST Statement"; Fisher exact test "Statistical Tests"; Fisher exact test "TEST Statement"; Freeman-Tukey test "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"; Freeman-Tukey test "Statistical Tests"; Freeman-Tukey test "TEST Statement"; Hochberg adjustment; introductory example; linear trend test; missing values; ODS table names; output data sets; p-value adjustments "Overview"; p-value adjustments "p-Value Adjustments"; permutation adjustment "Example 43.4: Fisher Test with Permutation Resampling"; permutation adjustment "p-Value Adjustments"; permutation adjustment "PROC MULTTEST Statement"; Peto test "Example 43.3: Peto Test"; Peto test "Statistical Tests"; Peto test "TEST Statement"; resampled data sets; Sidak's adjustment "p-Value Adjustments"; Sidak's adjustment "PROC MULTTEST Statement"; statistical tests; stepdown methods; t test "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"; t test "Statistical Tests"; t test "TEST Statement"

MULTTEST procedure, BY statement

MULTTEST procedure, CLASS statement

MULTTEST procedure, CONTRAST statement

MULTTEST procedure, FREQ statement

MULTTEST procedure, PROC MULTTEST statement: BONFERRONI option "p-Value Adjustments"; BONFERRONI option "PROC MULTTEST Statement"; BOOTSTRAP option "Drug Example"; BOOTSTRAP option "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"; BOOTSTRAP option "p-Value Adjustments"; BOOTSTRAP option "PROC MULTTEST Statement"; CENTER option; DATA= option; FDR option "p-Value Adjustments"; FDR option "PROC MULTTEST Statement"; HOC option "p-Value Adjustments"; HOC option "PROC MULTTEST Statement"; HOLM option; NOCENTER option; NOPRINT option; NOTABLES option; NOZEROS option; NSAMPLE= option; ORDER= option "Example 43.4: Fisher Test with Permutation Resampling"; ORDER= option "PROC MULTTEST Statement"; OUT= option "Output Data Sets"; OUT= option "PROC MULTTEST Statement"; OUTPERM= option "Example 43.1: Cochran-Armitage Test with Permutation Resampling"; OUTPERM= option "Output Data Sets"; OUTPERM= option "PROC MULTTEST Statement"; OUTSAMP= option "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"; OUTSAMP= option "Output Data Sets"; OUTSAMP= option "PROC MULTTEST Statement"; PDATA= option; PERMUTATION option "Example 43.1: Cochran-Armitage Test with Permutation Resampling"; PERMUTATION option "Example 43.4: Fisher Test with Permutation Resampling"; PERMUTATION option "p-Value Adjustments"; PERMUTATION option "PROC MULTTEST Statement"; PVALS option; SEED= option; SIDAK option "Example 43.3: Peto Test"; SIDAK option "p-Value Adjustments"; SIDAK option "PROC MULTTEST Statement"; STEPBON option; STEPBOOT option; STEPPERM option; STEPSID option "Example 43.3: Peto Test"; STEPSID option "PROC MULTTEST Statement"

MULTTEST procedure, STRATA statement

MULTTEST procedure, TEST statement: BINOMIAL option; CA option "Example 43.1: Cochran-Armitage Test with Permutation Resampling"; CA option "Statistical Tests"; CONTINUITY= option; FISHER option "CONTRAST Statement"; FISHER option "Example 43.4: Fisher Test with Permutation Resampling"; FISHER option "Statistical Tests"; FT option "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"; FT option "Statistical Tests"; LOWERTAILED option; MEAN option "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"; MEAN option "Statistical Tests"; PERMUTATION= option "Example 43.1: Cochran-Armitage Test with Permutation Resampling"; PERMUTATION= option "Statistical Tests"; PERMUTATION= option "Statistical Tests"; PERMUTATION= option "TEST Statement"; PETO option "Example 43.3: Peto Test"; PETO option "Statistical Tests"; TIME= option; UPPERTAILED option

Murthy's method: SURVEYSELECT procedure "Murthy's PPS Method"; SURVEYSELECT procedure "PROC SURVEYSELECT Statement"

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