SAS/STAT User's Guide

case-control studies: odds ratio; PHREG procedure "Example 44.3: Conditional Logistic Regression for m:n Matching"; PHREG procedure "MODEL Statement"; PHREG procedure "Overview"

casewise deletion: PRINQUAL procedure

CATMOD procedure: ADDCELL option; analysis of variance; at sign (@) operator; AVERAGED models; bar (|) operator; cautions "Cautions"; cautions "Logistic Analysis"; cell count data; compared to other procedures "Logistic Analysis"; compared to other procedures "Parameterization of PROC GLM Models"; compared to other procedures "Types of Statistical Analyses"; computational method "Computational Formulas"; computational method "Computational Method"; continuous variables, caution; contrast examples; contrasts, comparing with GLM; convergence criterion; design matrix, REPEATED statement; direct input of design matrix "MODEL Statement"; direct input of design matrix "POPULATION Statement"; direct input of response functions "Example 20.10: Direct Input of Response Functions and Covariance Matrix"; direct input of response functions "FACTORS Statement"; direct input of response functions "Input Data Sets"; direct input of response functions "MODEL Statement"; effective sample sizes; effects specification; estimation methods; _F_ specification; hypothesis tests; input data sets "Input Data Sets"; input data sets "Types of Input Data"; interactive use "Syntax"; interactive use "Using PROC CATMOD Interactively"; introductory example; linear models; log-linear analysis; log-linear analysis, examples "Example 20.4: Log-Linear Model, Three Dependent Variables"; log-linear analysis, examples "Example 20.5: Log-Linear Model, Structural and Sampling Zeros"; log-linear models; logistic analysis "Logistic Analysis"; logistic analysis "Types of Statistical Analyses"; logistic regression; logistic regression, examples; loglinear models; maximum likelihood estimation "Background: The Underlying Model"; maximum likelihood estimation "MODEL Statement"; memory requirements; missing values; MODEL statement, examples; ordering of parameters; ordering of populations; ordering of responses; output data sets "Output Data Sets"; output data sets "RESPONSE Statement"; parameterization, comparing with GLM; positional requirements for statements; quasi-independence model; regression; repeated measures "Repeated Measures Analysis"; repeated measures "REPEATED Statement"; repeated measures "Types of Statistical Analyses"; repeated measures, examples "Example 20.6: Repeated Measures, 2 Response Levels, 3 Populations"; repeated measures, examples "Example 20.7: Repeated Measures, 4 Response Levels, 1 Population"; repeated measures, examples "Example 20.8: Repeated Measures, Logistic Analysis of Growth Curve"; repeated measures, examples "Example 20.9: Repeated Measures, Two Repeated Measurement Factors"; repeated measures, MODEL statements; REPEATED statement, examples; response functions; response functions and estimation methods; response functions, examples "Example 20.1: Linear Response Function, r=2 Responses"; response functions, examples "Example 20.2: Mean Score Response Function, r=3 Responses"; response functions, with FACTORS statement; _RESPONSE_ keyword "Cautions"; _RESPONSE_ keyword "Displayed Output"; _RESPONSE_ keyword "FACTORS Statement"; _RESPONSE_ keyword "Generation of the Design Matrix"; _RESPONSE_ keyword "Log-Linear Model Analysis"; _RESPONSE_ keyword "LOGLIN Statement"; _RESPONSE_ keyword "MODEL Statement"; _RESPONSE_ keyword "Ordering of Populations and Responses"; _RESPONSE_ keyword "Repeated Measures Analysis"; _RESPONSE_ keyword "REPEATED Statement"; _RESPONSE_= option "FACTORS Statement"; _RESPONSE_= option "REPEATED Statement"; restrictions on parameters; sample survey analysis; sampling zeros and log-linear analyses; sensitivity and specificity; singular covariance matrix; specification of effects; specifying response functions; syntax; time requirements; types of analysis "Specification of Effects"; types of analysis "Types of Statistical Analyses"; underlying model; weighted least-squares estimation "Background: The Underlying Model"; weighted least-squares estimation "MODEL Statement"; zeros, structural and sampling "Cautions"; zeros, structural and sampling "Example 20.5: Log-Linear Model, Structural and Sampling Zeros"

CATMOD procedure, BY statement

CATMOD procedure, CONTRAST statement

CATMOD procedure, DIRECT statement

CATMOD procedure, FACTORS statement: PROFILE= option; _RESPONSE_= option; TITLE= option

CATMOD procedure, LOGLIN statement: TITLE= option

CATMOD procedure, MODEL statement: ADDCELL= option; AVERAGED option; CORRB option; COV option; COVB option; EPSILON= option; FREQ option; GLS option; MAXITER= option; ML option; NODESIGN option; NOINT option; NOITER option; NOPARM option; NOPROFILE option; NORESPONSE option; ONEWAY option; PRED= option; PREDICT option; PROB option; _RESPONSE_ keyword "Cautions"; _RESPONSE_ keyword "Displayed Output"; _RESPONSE_ keyword "FACTORS Statement"; _RESPONSE_ keyword "Generation of the Design Matrix"; _RESPONSE_ keyword "Log-Linear Model Analysis"; _RESPONSE_ keyword "LOGLIN Statement"; _RESPONSE_ keyword "MODEL Statement"; _RESPONSE_ keyword "Ordering of Populations and Responses"; _RESPONSE_ keyword "Repeated Measures Analysis"; _RESPONSE_ keyword "REPEATED Statement"; TITLE= option; WLS option; XPX option

CATMOD procedure, POPULATION statement

CATMOD procedure, PROC CATMOD statement: DATA=option; NAMELEN= option; ORDER= option

CATMOD procedure, REPEATED statement: PROFILE= option; _RESPONSE_= option; TITLE= option

CATMOD procedure, RESPONSE statement: ALOGIT function; CLOGIT function; JOINT function; LOGIT function; MARGINAL function; MEAN function; OUT= option; OUTEST= option; READ function; TITLE= option

CATMOD procedure, RESTRICT statement

CATMOD procedure, WEIGHT statement

CAXES= option: PLOT statement (REG)

CAXIS= option: PLOT statement (REG)

CCC option: OUTPUT statement (TRANSREG); PROC CLUSTER statement

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

CDF keyword: OUTPUT statement, LIFEREG procedure

CDPREFIX= option: OUTPUT statement (TRANSREG)

CEC option: OUTPUT statement (TRANSREG)

cell count data "Input Data Sets"

cell count data "Inputting Frequency Counts": example (FREQ)

cell in a design: definition; represented by PLAN procedure

cell-means coding: TRANSREG procedure "ANOVA Codings"; TRANSREG procedure "MODEL Statement"; TRANSREG procedure "Model Statement Usage"

CELLCHI2 option: PROC CORRESP statement; TABLES statement (FREQ)

CENSCALE option: PROC PLS statement

censored: observations (PHREG); survival times (PHREG) "Example 44.3: Conditional Logistic Regression for m:n Matching"; survival times (PHREG) "Overview"; values (PHREG) "Example 44.1: Stepwise Regression"; values (PHREG) "Getting Started"

censored data: LIFEREG procedure

CENSORED keyword: OUTPUT statement, LIFEREG procedure

CENSOREDSYMBOL= option: PROC LIFETEST statement

censoring: LIFEREG procedure "Model Specifications"; LIFEREG procedure "MODEL Statement"

censoring variable: PHREG procedure "Example 44.3: Conditional Logistic Regression for m:n Matching"; PHREG procedure "Getting Started"; PHREG procedure "MODEL Statement"; programming statements (PHREG)

censoring, right

CENTER option: PROC MULTTEST statement; RIDGE statement (RSREG); TRANSREG procedure

center-point coding: TRANSREG procedure

centroid component: definition

centroid components

centroid method: with CLUSTER procedure "Clustering Methods"; with CLUSTER procedure "PROC CLUSTER Statement"

CENTROID option: VARCLUS statement

CFACTOR= option: NLOPTIONS statement (CALIS)

CFR= option: PLOT statement (REG)

CFRAME= option: PLOT statement (REG); PROC TREE statement

CH= option: PLOT statement (REG)

chaining, reducing when clustering

CHANGE= option: PROC PRINQUAL statement

characteristic roots and vectors (ANOVA)

characteristic roots and vectors (GLM)

chi-square: adjusted (CALIS)

chi-square: displaying (CALIS); indices (CALIS); reweighted (CALIS)

chi-square tests: examples (FREQ) "Example 26.2: Computing Chi-square Tests for One-Way Frequency Tables"; examples (FREQ) "Example 26.4: Analyzing a 2x2 Contingency Table"; examples (FREQ) "Example 26.5: Creating an Output Data Set Containing Chi-Square Statistics"; FREQ procedure

CHISQ option: CONTRAST statement (MIXED); EXACT statement (FREQ) "EXACT Statement"; EXACT statement (FREQ) "Example 26.4: Analyzing a 2x2 Contingency Table"; MODEL statement (MIXED); OUTPUT statement (FREQ); TABLES statement (FREQ) "Chi-Square Tests and Statistics"; TABLES statement (FREQ) "Example 26.4: Analyzing a 2x2 Contingency Table"; TABLES statement (FREQ) "TABLES Statement"

CHOCKING= option: PLOT statement (REG)

choice experiments: TRANSREG procedure

Cholesky root: SIM2D procedure

CHREF= option: PLOT statement (REG)

CI= option: PROC TTEST statement

Cicchetti-Allison weights

CICONV= option: MODEL statement (GENMOD)

CILPREFIX= option: OUTPUT statement (TRANSREG)

CIPREFIX= option: OUTPUT statement (TRANSREG)

CIUPREFIX= option: OUTPUT statement (TRANSREG)

CK= option: PROC MODECLUS statement

CL option: ESTIMATE statement (MIXED); LSMEANS statement (GENMOD); LSMEANS statement (GLM); LSMEANS statement (MIXED); MODEL statement (GENMOD); MODEL statement (LOGISTIC); MODEL statement (MIXED); MODEL statement (TRANSREG); RANDOM statement (MIXED); TABLES statement (FREQ); PLOT statement (REG); PROC MIXED statement

class level: MIXED procedure

CLASS statement: ANOVA procedure; CANDISC procedure; DISCRIM procedure; GENMOD procedure; GLM procedure; GLMMOD procedure; INBREED procedure; MIXED procedure "CLASS Statement"; MIXED procedure "Default Output"; MULTTEST procedure; NESTED procedure; ORTHOREG procedure; PLS procedure; STEPDISC procedure; TTEST procedure

CLASS statement, VARCOMP procedure

CLASS transformation: MODEL statement (TRANSREG)

CLASS variables: TRANSREG procedure

class variables, MIXED procedure

class variables, VARCOMP procedure

classification criterion: DISCRIM procedure; error rate estimation (DISCRIM); LOGISTIC procedure "Classification Table"; LOGISTIC procedure "Example 35.4: Stratified Sampling"

classification table: LOGISTIC procedure

classification variables "Overview"

classification variables "Specification of Effects": GENMOD procedure; sort order of levels (GENMOD); specifying (GENMOD)

CLB option: MODEL statement (REG); PROC CANCORR statement

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

CLEAR option: PLOT statement (REG)

CLI option: MODEL statement (GLM); MODEL statement (REG); OUTPUT statement (TRANSREG)

CLINE= option: PLOT statement (REG)

CLM option: MEANS statement (ANOVA); MEANS statement (GLM); MODEL statement (GLM); MODEL statement (REG); OUTPUT statement (TRANSREG)

CLODDS= option: MODEL statement (LOGISTIC)

CLOGIT function: RESPONSE statement (CATMOD)

CLPARM option: MODEL statement (GLM); MODEL statement (LOGISTIC)

CLTYPE= option: BASELINE statement (PHREG)

cluster analysis: disjoint; tree diagrams

cluster formation: FASTCLUS procedure

cluster mean

cluster median

cluster midrange

CLUSTER= option: FASTCLUS statement; PROC MODECLUS statement

CLUSTER procedure: algorithms; and FASTCLUS procedure; and TREE procedure; association measure; average linkage; categorical data; centroid method; clustering methods "Details"; clustering methods "Overview"; complete linkage; computational resources; density linkage "Overview"; density linkage "PROC CLUSTER Statement"; Euclidean distances; flexible-beta method; hierarchical clusters; input data sets; interval scale; kth-nearest-neighbor method; maximum likelihood "Overview"; maximum likelihood "PROC CLUSTER Statement"; McQuitty's similarity analysis; median method; memory requirements; missing values; non-Euclidean distances; output data sets "Output Data Set"; output data sets "PROC CLUSTER Statement"; output table names; ratio scale; single linkage; size, shape, and correlation; syntax; test statistics; ties; time requirements; two-stage density linkage; types of data sets; using macros for many analyses; Ward's minimum-variance method; Wong's hybrid method

CLUSTER procedure, BY statement

CLUSTER procedure, COPY statement

CLUSTER procedure, FREQ statement

CLUSTER procedure, ID statement

CLUSTER procedure, PROC CLUSTER statement: BETA= option; CCC option; DATA= option; DIM= option; HYBRID option; K= option; MODE= option; NOEIGEN option; NOID option; NONORM option; NOPRINT option; NOSQUARE option; NOTIE option; OUTTREE= option; PENALTY= option; PRINT= option; PSEUDO= option; R= option; RMSSTD option; RSQUARE option; SIMPLE option; STANDARD option; TRIM= option

CLUSTER procedure, RMSSTD statement

CLUSTER procedure, VAR statement

cluster seeds: minimum distance separating

cluster seeds, deletion

clustering: and outliers "Overview"; and outliers "PROC CLUSTER Statement"; and smoothing parameters; approximate covariance estimation; average linkage "Clustering Methods"; average linkage "PROC CLUSTER Statement"; centroid method "Clustering Methods"; centroid method "PROC CLUSTER Statement"; complete linkage method "Clustering Methods"; complete linkage method "PROC CLUSTER Statement"; density linkage methods "Clustering Methods"; density linkage methods "PROC CLUSTER Statement"; disjoint; flexible-beta method; Gower's method "Clustering Methods"; Gower's method "PROC CLUSTER Statement"; hierarchical; maximum-likelihood method "Clustering Methods"; maximum-likelihood method "PROC CLUSTER Statement"; McQuitty's similarity analysis "Clustering Methods"; McQuitty's similarity analysis "PROC CLUSTER Statement"; median method "Clustering Methods"; median method "PROC CLUSTER Statement"; methods affected by frequencies; of observations; penalty coefficient; single linkage "Clustering Methods"; single linkage "PROC CLUSTER Statement"; standardizing variables; transforming variables; two-stage density linkage; Ward's method "Clustering Methods"; Ward's method "PROC CLUSTER Statement"; weighted average linkage "Clustering Methods"; weighted average linkage "PROC CLUSTER Statement"

clustering Fisher Iris Data, example: ACECLUS procedure

clustering methods: ACECLUS procedure; FASTCLUS procedure; MODECLUS procedure "Clustering Methods"; MODECLUS procedure "Overview"

clustering, large data sets

clusters: definition (MODECLUS); plotting (MODECLUS)

clusters, elliptical

clusters, seed replacement

clusters, spherical

CMALLOWS= option: PLOT statement (REG)

CMH option: OUTPUT statement (FREQ); TABLES statement (FREQ)

CMH1 option: OUTPUT statement (FREQ); TABLES statement (FREQ)

CMH2 option: OUTPUT statement (FREQ); TABLES statement (FREQ)

CMHCOR option: OUTPUT statement (FREQ)

CMHGA option: OUTPUT statement (FREQ)

CMHRMS option: OUTPUT statement (FREQ)

CMLPREFIX= option: OUTPUT statement (TRANSREG)

CMUPREFIX= option: OUTPUT statement (TRANSREG)

coancestry: INBREED procedure

COCHQ option: OUTPUT statement (FREQ)

Cochran and Cox t approximation "Computational Methods"

Cochran and Cox t approximation "PROC TTEST Statement"

COCHRAN option: PROC TTEST statement

Cochran's Q test "Example 26.9: Testing Marginal Homogeneity with Cochran's Q"

Cochran's Q test "Tests and Measures of Agreement"

Cochran-Armitage test for trend "Cochran-Armitage Test for Trend"

Cochran-Armitage test for trend "Example 26.7: Computing the Cochran-Armitage Trend Test": continuity correction (MULTTEST); MULTTEST procedure "Example 39.1: Cochran-Armitage Test with Permutation Resampling"; MULTTEST procedure "Statistical Tests"; MULTTEST procedure "TEST Statement"; permutation distribution (MULTTEST); two-tailed test (MULTTEST)

Cochran-Mantel-Haenszel statistics (FREQ) "Cochran-Mantel-Haenszel Statistics"

Cochran-Mantel-Haenszel statistics (FREQ) "OUTPUT Statement": ANOVA (row mean scores) statistic; correlation statistic; examples; general association statistic

coding: TRANSREG procedure

COEF= option: PROC MDS statement

coefficient alpha: FACTOR procedure

coefficient of relationship: INBREED procedure

coefficients of determination: CALIS procedure

COEFFICIENTS option: OUTPUT statement (TRANSREG)

coefficients, redundancy: TRANSREG procedure

cohort studies: relative risk "Cochran-Mantel-Haenszel Statistics"; relative risk "Odds Ratio and Relative Risks for 2[times ]2 Tables"

COLLECT option: PLOT statement (REG)

COLLIN option: MODEL statement (REG)

collinearity: REG procedure

COLLINOINT option: MODEL statement (REG)

COLUMN= option: PROC CORRESP statement

combinations: generating with PLAN procedure

common factor: defined for factor analysis

common factor analysis: common factor rotation; compared with principal component analysis; Harris component analysis; image component analysis; interpreting

comparing groups: GLM procedure

comparisons (TTEST): between means "Example 58.1: Comparing Group Means Using Input Data Set of Summary Statistics"; between means "Overview"; of variances "Computational Methods"; of variances "Example 58.1: Comparing Group Means Using Input Data Set of Summary Statistics"; of variances "Overview"

comparisonwise error rate (GLM)

complete block design: example (ANOVA); example (GLM)

complete linkage: with CLUSTER procedure "Clustering Methods"; with CLUSTER procedure "PROC CLUSTER Statement"

complete separation: LOGISTIC procedure

completely randomized design: examples

COMPONENT option: FACTOR statement (CALIS)

components: PLS procedure; example (MIXED)

compound symmetry structure: example (MIXED); MIXED procedure

COMPRESS option: PROC FREQ statement

COMPSTART option: FACTOR statement (CALIS)

computation method: Hessian matrix (CALIS); Lagrange multipliers (CALIS); MIXED procedure; standard errors (CALIS)

computational details: SIM2D procedure

computational method: LIFEREG procedure "Computational Method"; LIFEREG procedure "Model Specifications"

computational methods, VARCOMP procedure: maximum likelihood method; MIVQUE0 method; restricted maximum likelihood method; Type I method

computational order: MIXED procedure

computational problems: CALIS procedure; convergence (CALIS); convergence (FASTCLUS); convergence (MIXED); identification (CALIS) "Computational Problems"; identification (CALIS) "Example 17.3: Second-Order Confirmatory Factor Analysis"; identification (CALIS) "Example 17.4: Linear Relations Among Factor Loadings"; identification (CALIS) "Example 17.5: Ordinal Relations Among Factor Loadings"; identification (CALIS) "Example 17.6: Longitudinal Factor Analysis"; identification (CALIS) "Use of Optimization Techniques"; negative eigenvalues (CALIS); negative r-square (CALIS); overflow (CALIS); singular predicted model (CALIS); time (CALIS)

computational resources: ACECLUS procedure; CANCORR procedure; CLUSTER procedure; FACTOR procedure; FASTCLUS procedure; LIFEREG procedure; MODECLUS procedure; MULTTEST procedure; PRINCOMP procedure; VARCLUS procedure

COMPUTE statement (VARIOGRAM): ANGLETOLERANCE= option; BANDWIDTH= option; DEPSILON= option; LAGDISTANCE= option; LAGTOLERANCE= option; MAXLAGS= option; NDIRECTIONS= option; NHCLASSES= option; NOVARIOGRAM option; OUTPDISTANCE= option; ROBUST option

COMPUTE statement, VARIOGRAM procedure

concordant observations

COND= option: PROC MDS statement

CONDITION= option: PROC MDS statement

conditional and unconditional simulation: SIM2D procedure

conditional data: MDS procedure

conditional distributions of multivariate normal random variables: SIM2D procedure

conditional logistic regression: PHREG procedure "Example 44.3: Conditional Logistic Regression for m:n Matching"; PHREG procedure "Overview"

CONF option: PLOT statement (REG)

confidence interval: model confidence interval; parameter confidence interval

confidence intervals: confidence coefficient (GENMOD); exact (FREQ); fitted values of the mean (GENMOD) "MODEL Statement"; fitted values of the mean (GENMOD) "Predicted Values of the Mean"; individual observation (RSREG); means (ANOVA); means (RSREG); pairwise differences (ANOVA); profile likelihood (GENMOD) "Confidence Intervals for Parameters"; profile likelihood (GENMOD) "MODEL Statement"; profile likelihood (LOGISTIC) "Confidence Intervals for Parameters"; profile likelihood (LOGISTIC) "MODEL Statement"; TTEST procedure; Wald (GENMOD) "Confidence Intervals for Parameters"; Wald (GENMOD) "MODEL Statement"; Wald (LOGISTIC) "Confidence Intervals for Parameters"; Wald (LOGISTIC) "MODEL Statement"

confidence level: baseline survivor function (PHREG) "BASELINE Statement"; baseline survivor function (PHREG) "BASELINE Statement"

confidence limits: baseline survivor function (PHREG); individual (TRANSREG); LOGISTIC procedure; mean (TRANSREG); MIXED procedure; prefix (TRANSREG); TRANSREG procedure

configuration: MDS procedure "OUT= Data Set"; MDS procedure "Overview"; MDS procedure "PROC MDS Statement"

conjoint analysis: TRANSREG procedure "Example 56.2: Nonmetric Conjoint Analysis of Tire Data"; TRANSREG procedure "Example 56.3: Metric Conjoint Analysis of Tire Data"; TRANSREG procedure "MODEL Statement"; TRANSREG procedure "Model Statement Usage"; CALIS procedure

conjugate gradient algorithm: CALIS procedure

conservative tests: TRANSREG procedure "Hypothesis Tests"; TRANSREG procedure "Solving Standard Least-Squares Problems"

constant transformations: avoiding (PRINQUAL); avoiding (TRANSREG)

constant variables: PRINQUAL procedure; TRANSREG procedure "Constant Variables"; TRANSREG procedure "MODEL Statement"

constrained estimation: CALIS procedure

constraints: boundary (CALIS) "BOUNDS Statement"; boundary (CALIS) "Constrained Estimation Using Program Code"; boundary (CALIS) "Getting Started"; boundary (MIXED); linear (CALIS) "Constrained Estimation Using Program Code"; linear (CALIS) "Getting Started"; linear (CALIS) "LINCON Statement"; modification indices (CALIS); nonlinear (CALIS) "Getting Started"; nonlinear (CALIS) "NLINCON Statement"; ordered (CALIS); program statements (CALIS) "Constrained Estimation Using Program Code"; program statements (CALIS) "Getting Started"; program statements (CALIS) "SAS Program Statements"; test indices (CALIS)

CONTAIN option: MODEL statement (MIXED)

containment method: MIXED procedure

CONTGY option: OUTPUT statement (FREQ)

contingency coefficient

contingency tables "Overview"

contingency tables "TABLES Statement"

continuity measures: VARIOGRAM procedure

CONTINUITY= option: TEST statement (MULTTEST)

continuity-adjusted chi-square

continuous time scale: PHREG procedure "Example 44.3: Conditional Logistic Regression for m:n Matching"; PHREG procedure "MODEL Statement"

continuous time scale: PHREG procedure

continuous variable: GENMOD procedure

continuous variables

continuous-by-class effects: MIXED procedure; model parameterization (GLM); specifying (GLM)

continuous-nesting-class effects: MIXED procedure; model parameterization (GLM); specifying (GLM)

contour map: VARIOGRAM procedure

CONTRAST keyword: REPEATED statement (ANOVA)

CONTRAST option: REPEATED statement (GLM)

CONTRAST option: REPEATED statement (GLM)

CONTRAST statement: CATMOD procedure; GENMOD procedure; MULTTEST procedure

contrasts: comparing CATMOD and GLM; GENMOD procedure; GLM procedure; MIXED procedure "CONTRAST Statement"; MIXED procedure "ESTIMATE Statement"; repeated measurements (ANOVA); repeated measures (GLM); specifying (CATMOD)

control: comparing treatments to (GLM)

control charts

CONTROL keyword: OUTPUT statement, LIFEREG procedure

CONV= option: PROC MDS statement

CONVERGE option: MODEL statement (TRANSREG); MODEL statement (GENMOD); MODEL statement (LOGISTIC); MODEL statement, LIFEREG procedure; PROC ACECLUS statement; PROC FACTOR statement; PROC FASTCLUS statement; PROC MDS statement; PROC NLIN statement; PROC PRINQUAL statement; REPEATED statement (GENMOD); TABLES statement (FREQ)

convergence criterion: ACECLUS procedure; CATMOD procedure; GENMOD procedure "MODEL Statement"; GENMOD procedure "REPEATED Statement"; MDS procedure; MIXED procedure "Computational Issues"; MIXED procedure "Default Output"; MIXED procedure "PROC MIXED Statement"; profile likelihood (LOGISTIC)

convergence problems: MIXED procedure

CONVERGEOBJ= option: PROC NLIN statement

CONVERGEPARM= option: PROC NLIN statement

CONVF option: PROC MIXED statement "Default Output"; PROC MIXED statement "PROC MIXED Statement"

CONVG option: PROC MIXED statement "Default Output"; PROC MIXED statement "PROC MIXED Statement"; MODEL statement (LIFEREG)

CONVH option: PROC MIXED statement "Default Output"; PROC MIXED statement "PROC MIXED Statement"; MODEL statement (GENMOD)

convolution distribution: MULTTEST procedure

Cook's D influence statistic "MODEL Statement"

Cook's D influence statistic "OUTPUT Statement"

COOKD keyword: OUTPUT statement (GLM)

coordinates: MDS procedure "Formulas"; MDS procedure "OUT= Data Set"; MDS procedure "PROC MDS Statement"; TRANSREG procedure

COORDINATES option: OUTPUT statement (TRANSREG)

COORDINATES statement (KRIGE2D): XCOORD= option; YCOORD= option

COORDINATES statement (SIM2D): XCOORD= option; YCOORD= option

COORDINATES statement (VARIOGRAM): XCOORD= option; YCOORD= option

COORDINATES statement, KRIGE2D procedure

COORDINATES statement, SIM2D procedure

COORDINATES statement, VARIOGRAM procedure

COPY statement: TREE procedure

CORE option: PROC MODECLUS statement

CORR data sets: CLUSTER procedure

CORR option: LSMEANS statement (GENMOD); LSMEANS statement (MIXED); PROC CALIS statement; PROC CANCORR statement; PROC FACTOR statement; PROC REG statement; VARCLUS statement; REPEATED statement (GENMOD)

CORR procedure: CALIS procedure

CORRB option: MODEL statement (CATMOD); MODEL statement (GENMOD); MODEL statement (LOGISTIC); MODEL statement (MIXED); MODEL statement (PHREG); MODEL statement (REG); MODEL statement, LIFEREG procedure; PROC CANCORR statement; REPEATED statement (GENMOD)

correction for means: CANCORR procedure; PRINCOMP procedure

CORRECT=NO option: PROC NPAR1WAY statement

correlated data: GEE (GENMOD) "Generalized Estimating Equations"; GEE (GENMOD) "Overview"

correlation length: VARIOGRAM procedure

correlation matrix: estimated (CATMOD); GENMOD procedure "Generalized Linear Models Theory"; GENMOD procedure "MODEL Statement"; REG procedure

correlation range: KRIGE2D procedure

correlation statistic

correlations: and principal components "Displayed Output"; and principal components "Output Data Sets"; CANCORR procedure

CORRELATIONS option: PROC PRINQUAL statement

CORRESP procedure: algorithm; analyse des correspondances; appropriate scoring; Best variables; binary design matrix; Burt table; Burt table, definition; BY statement; coding; COLUMN= option, use; computational resources; correspondence analysis; doubling; dual scaling; fuzzy coding; fuzzy coding, definition; geometry of distance between points "Algorithm and Notation"; geometry of distance between points "Example 22.1: Simple Correspondence Analysis of Cars and Their Owners"; homogeneity analysis; ID statement; inertia, definition; input "Syntax"; input "Types of Tables Used as Input"; matrix decompositions "Algorithm and Notation"; matrix decompositions "PROC CORRESP Statement"; matrix formulas for statistics; MCA= option, PROC CORRESP statement; memory requirements; missing values "Coding, Fuzzy Coding, and Doubling"; missing values "Missing and Invalid Data"; missing values "PROC CORRESP Statement"; multiple correspondence analysis (MCA) "Algorithm and Notation"; multiple correspondence analysis (MCA) "Example 22.2: Multiple Correspondence Analysis of Cars and Their Owners"; multiple correspondence analysis (MCA) "PROC CORRESP Statement"; optimal scaling; optimal scoring; OUTC= data set; OUTF= data set; output data sets; output table names; partial contributions to inertia table; PLOTIT macro "Example 22.2: Multiple Correspondence Analysis of Cars and Their Owners"; PLOTIT macro "Example 22.3: Simple Correspondence Analysis of U.S. Population"; PLOTIT macro "Getting Started"; PROFILE= option, use; quantification method; reciprocal averaging; ROW= option, use; scalogram analysis; supplementary rows and columns "Algorithm and Notation"; supplementary rows and columns "SUPPLEMENTARY Statement"; SUPPLEMENTARY statement; syntax; syntax abbreviations; TABLES statement; TABLES statement, use "Syntax"; TABLES statement, use "TABLES Statement"; TABLES statement, use "Using the TABLES Statement"; time requirements; VAR statement; VAR statement, use "Syntax"; VAR statement, use "Using the VAR Statement"; VAR statement, use "VAR Statement"; WEIGHT statement

CORRESP procedure, CORRESP statement: ALL option; BINARY option; CELLCHI2 option; COLUMN= option; CP option; CROSS= option; DATA= option; DEVIATION option; DIMENS= option; EXPECTED option; FREQOUT option; MCA option; MININERTIA= option; MISSING option; NOCOLUMN= option; NOPRINT option; NOROW= option; NVARS= option; OBSERVED option; OUTC= option; OUTF= option; PRINT= option; PROFILE= option; ROW= option; RP option; SHORT option; SINGULAR= option; SOURCE option

correspondence analysis: CORRESP procedure

CORRW option: REPEATED statement (GENMOD)

COSAN model: CALIS procedure "COSAN Model Statement"; CALIS procedure "Structural Equation Models"; specification; structural model example (CALIS)

COSAN statement, CALIS procedure

counting process: PHREG procedure

COV option: LSMEANS statement (GENMOD); LSMEANS statement (GLM); LSMEANS statement (MIXED); MODEL statement (CATMOD); PROC CALIS statement; PROC LATTICE statement; PROC PRINCOMP statement; VARCLUS statement

COV statement, CALIS procedure

COVAR option: PROC INBREED statement; MODEL statement (RSREG)

covariance: LATTICE procedure

covariance matrix: for parameter estimates (CATMOD); for response functions (CATMOD); GENMOD procedure "Generalized Linear Models Theory"; GENMOD procedure "MODEL Statement"; PHREG procedure "MODEL Statement"; PHREG procedure "Newton-Raphson Method"; PHREG procedure "PROC PHREG Statement"; REG procedure; singular (CATMOD)

covariance matrix, symmetric and positive definite: SIM2D procedure

COVARIANCE option: PROC CALIS statement; PROC FACTOR statement; PROC LATTICE statement; PROC PRINCOMP statement; PROC PRINQUAL statement; VARCLUS statement

covariance parameter estimates: MIXED procedure "Default Output"; MIXED procedure "PROC MIXED Statement"; ratio (MIXED)

covariance parameters: MIXED procedure

covariance structures: examples (MIXED) "Example 37.2: Repeated Measures"; examples (MIXED) "REPEATED Statement"; MIXED procedure "Notation for the Mixed Model"; MIXED procedure "REPEATED Statement"