Index_M

M

MAC method

PRINQUAL procedure, 3643, 3669

macros

TRANSREG procedure, 4588

Mahalanobis distance, 791, 1158

CANDISC procedure, 804

main effects

design matrix (CATMOD), 877

GENMOD procedure, 1660

LIFEREG procedure, 2108

MIXED procedure, 2744

model parameterization (GLM), 1788

specifying (ANOVA), 451, 452

specifying (CATMOD), 864

specifying (GLM), 1784

TRANSREG procedure, 4558, 4594

Mallows' C _p selection

REG procedure, 3875

manifest variables

CALIS procedure, 549

Mann-Whitney-Wilcoxon test

NPAR1WAY procedure, 3166

MANOVA,

See multivariate analysis of variance

CANDISC procedure, 786

Mantel-Haenszel chi-square test, 1469, 1472

Mantel-Haenszel test

log-rank test (PHREG), 3219

MAR

MI procedure, 2537, 2564

marginal probabilities,

See also response functions

specifying in CATMOD procedure, 853

Marginal residuals

MIXED procedure, 2764

marker symbols, modifying

examples, ODS Graphics, 369

martingale residuals

PHREG procedure, 3234, 3258, 3302

matched comparisons,

See paired comparisons

Matern covariance structure

MIXED procedure, 2721

mating

offspring and parent (INBREED), 1981

self (INBREED), 1980

matrix

decompositions (CORRESP), 1079, 1100

factor, defined for factor analysis (FACTOR), 1292

inversion (CALIS), 647

multiplication (SCORE), 4065

names , default (CALIS), 608

notation, theory (MIXED), 2731

properties, COSAN model (CALIS), 592

matrix properties

COSAN model (CALIS), 592

MATRIX statement (CALIS)

factor analysis model, 595

maximum average correlation method

PRINQUAL procedure, 3643, 3669

maximum likelihood

algorithms (LOGISTIC), 2336

algorithms (SURVEYLOGISTIC), 4275

estimates (LIFEREG), 2083

estimates (LOGISTIC), 2338

estimates (SURVEYLOGISTIC), 4277

estimation (CATMOD), 817, 843, 895

estimation (GENMOD), 1655

hierarchical clustering (CLUSTER), 967, 971, 980, 981

NLMIXED procedure, 3048

maximum likelihood estimation

mixed model (MIXED), 2738

maximum likelihood factor analysis, 1291, 1311

with FACTOR procedure, 1297, 1298

maximum method,

See complete linkage

maximum total variance method

PRINQUAL procedure, 3643

MCAR

MI procedure, 2537

MCF

PHREG procedure, 3225

MCMC method

MI procedure, 2547

MCMC monotone-data imputation

MI procedure, 2565

McNemar's test, 1493, 1494

power and sample size (POWER), 3443, 3447, 3448, 3516, 3517

McQuitty's similarity analysis

CLUSTER procedure, 967

MDFFITS

MIXED procedure, 2768

MDFFITS for covariance parameters

MIXED procedure, 2769

MDPREF analysis

PRINQUAL procedure, 3678

MDS procedure

alternating least squares, 2476

analyzing data in groups, 2485

asymmetric data, 2484

badness of fit, 2479, 2482, 2483, 2489, 2490

conditional data, 2477

configuration, 2471, 2482, 2483, 2489

convergence criterion, 2478, 2480, 2481

coordinates, 2482, 2483, 2488, 2489

data weights, 2487

dimension coefficients, 2471, 2472, 2477, 2482, 2483, 2488, 2489

dissimilarity data, 2471, 2478, 2484

distance data, 2471, 2478, 2484

Euclidean distances, 2472, 2477, 2488

external unfolding, 2471

individual difference models, 2471

INDSCAL model, 2471, 2477

initial values, 2480-2484, 2491

measurement level, 2472, 2481

metric multidimensional scaling, 2471

missing values, 2492

multidimensional scaling, 2471

nonmetric multidimensional scaling, 2471, 2472

normalization of the estimates, 2492

optimal transformations, 2472, 2481

output table names, 2497

partitions, 2477, 2488

plot of configuration, 2504, 2505

plot of dimension coefficients, 2504, 2506

plot of linear fit, 2503

%PLOTIT macro, 2474

plots, 2474

proximity data, 2471, 2478, 2484

residuals, 2483, 2487, 2488, 2491, 2503

similarity data, 2471, 2478, 2484

stress formula, 2479, 2480, 2489

subject weights, 2471, 2477

three-way multidimensional scaling, 2471

ties, 2485

transformations, 2472, 2481, 2482, 2484, 2487-2489

transformed data, 2491

transformed distances, 2491

unfolding, 2471

weighted Euclidean distance, 2472, 2477, 2488

weighted Euclidean model, 2471, 2477

weighted least squares, 2487

mean function

PHREG procedure, 3224, 3226, 3244, 3245, 3253, 3255

mean per element

SURVEYMEANS procedure, 4337

mean separation tests,

See multiple comparison procedures

mean survival time

time limit (LIFETEST), 2164

MEAN= data sets

FASTCLUS procedure, 1393, 1394

means

ANOVA procedure, 440

compared to least-squares means (GLM), 1804

displayed in CLUSTER procedure, 972

GLM procedure, 1763

power and sample size (POWER), 3432, 3448, 3463, 3471, 3526

SURVEYMEANS procedure, 4337

weighted (GLM), 1820

MEANS procedure, 21

means, difference between

independent samples, 4775, 4789

paired observations, 4775

measurement level

MDS procedure, 2472, 2481

measures of agreement, 1493

median

cluster, 1389, 1392

method (CLUSTER), 967, 981

median residual time

LIFETEST procedure, 2186

median scores

NPAR1WAY procedure, 3167

Medical Expenditure Panel Survey (MEPS)

SURVEYLOGISTIC procedure, 4302

Mehta and Patel, network algorithm, 1509, 3172

memory requirements

ACECLUS procedure, 410

CLUSTER procedure, 986

FACTOR procedure, 1335

FASTCLUS procedure, 1402

MIXED procedure, 2775

reduction of (ANOVA), 434

reduction of (GLM), 1747

VARCLUS procedure, 4818

memory usage

SIM2D procedure, 4110

Merle-Spath algorithm

FASTCLUS procedure, 1392

METHOD= specification

PROC CLUSTER statement, 966

methods of estimation

VARCOMP procedure, 4831, 4842

metric multidimensional scaling

MDS procedure, 2471

MGV method

PRINQUAL procedure, 3643

MI procedure

adjusted degrees of freedom, 2562

analyst's model, 2563

approximate Bayesian bootstrap, 2543

arbitrary missing pattern, 2539

autocorrelation function plot, 2557

Bayes' theorem, 2547

Bayesian inference, 2547

between-imputation variance, 2561

bootstrap, 2527

combining inferences, 2561

converge in EM algorithm, 2522

convergence in EM algorithm, 2527

convergence in MCMC, 2555, 2566

degrees of freedom, 2561

discriminant function method, 2544

EM algorithm, 2536, 2566

fraction of missing information, 2562

imputation methods, 2539

imputation model, 2565

imputer's model, 2563

input data set, 2519, 2526, 2558

introductory example, 2513

logistic regression method, 2546

LR statistics, 2555

MAR, 2537, 2564

MCAR, 2537

MCMC method, 2547

MCMC monotone-data imputation, 2565

missing at random, 2537, 2564

monotone missing pattern, 2538

multiple imputation efficiency, 2562

multivariate normality assumption, 2565

number of imputations, 2565

ODS graph names, 2567

ODS table names, 2566

output data sets, 2520, 2528, 2559

output parameter estimates, 2528

parameter simulation, 2564

predictive mean matching method, 2542

producing monotone missingness, 2552

propensity score method, 2543, 2565

random number generators, 2520

regression method, 2541, 2565

relative efficiency, 2562

relative increase in variance, 2562

saving graphics output, 2526

singularity, 2521

Summary of Issues in Multiple Imputation, 2564

suppressing output, 2520

syntax, 2517

time-series plot, 2556

total variance, 2561

transformation, 2533

within-imputation variance, 2561

worst linear function of parameters, 2556

MI procedure, EM statement

output data sets, 2523

MIANALYZE procedure

adjusted degrees of freedom, 2625

average relative increase in variance, 2627

between-imputation covariance matrix, 2626

between-imputation variance, 2624

combining inferences, 2624

degrees of freedom, 2625, 2627

fraction of missing information, 2625

input data sets, 2620

introductory example, 2610

multiple imputation efficiency, 2626

multivariate inferences, 2626

ODS table names, 2631

relative efficiency, 2626

relative increase in variance, 2625

syntax, 2613

testing linear hypotheses, 2618, 2628

total covariance matrix, 2627

total variance, 2625

within-imputation covariance matrix, 2626

within-imputation variance, 2624

minimum generalized variance method

PRINQUAL procedure, 3643

Minkowski metric

STDIZE procedure, 4138

Minkowski L(p) distance coefficient

DISTANCE procedure, 1272

misclassification probabilities

discriminant analysis, 1140

missing at random

MI procedure, 2537, 2564

missing level combinations

MIXED procedure, 2748

missing stratum values

LIFETEST procedure, 2166, 2167

missing values

ACECLUS procedure, 409

and interactivity (GLM), 1787

CANCORR procedure, 765

character (PRINQUAL), 3662

CLUSTER procedure, 987

DISTANCE procedure, 1261, 1262, 1267, 1276

FASTCLUS procedure, 1380, 1381, 1391, 1393, 1397

LIFEREG procedure, 2108

LIFETEST procedure, 2171

LOGISTIC procedure, 2329

MDS procedure, 2492

MODECLUS procedure, 2883

MULTTEST procedure, 2960

NPAR1WAY procedure, 3162

PHREG procedure, 3228, 3236, 3286

PRINCOMP procedure, 3608

PRINQUAL procedure, 3655, 3667, 3674

PROBIT procedure, 3755

SCORE procedure, 4074

STDIZE procedure, 4131, 4133

strata variables (PHREG), 3237

SURVEYFREQ procedure, 4205

SURVEYLOGISTIC procedure, 4251, 4268

SURVEYMEANS procedure, 4323, 4333, 4358

SURVEYREG procedure, 4382

SURVEYSELECT procedure, 4445

TRANSREG procedure, 4578, 4599, 4600, 4605

TREE procedure, 4756

VARCOMP procedure, 4837

mixed model

unbalanced (GLM), 1882

VARCOMP procedure, 4837

mixed model (MIXED),

See also MIXED procedure

estimation, 2737

formulation, 2732

hypothesis tests, 2742, 2751

inference, 2741

inference space, 2681, 2682, 2685, 2781

least-squares means, 2687

likelihood ratio test, 2741, 2743

linear model, 2661

maximum likelihood estimation, 2738

notation, 2663

objective function, 2749

parameterization, 2743

predicted values, 2687

restricted maximum likelihood, 2779

theory, 2731

Wald test, 2741, 2786

mixed model equations

example (MIXED), 2796

MIXED procedure, 2678, 2739

MIXED Procedure

Leverage, 2767

PRESS Residual, 2766

PRESS Statistic, 2766

MIXED procedure,

See also mixed model

2D geometric anisotropic structure, 2721

Akaike's information criterion, 2676, 2740, 2750

Akaike's information criterion (finite sample corrected version) , 2676, 2750

ante-dependence structure, 2721

ARIMA procedure, compared, 2665

ARMA structure, 2721

assumptions, 2661

asymptotic covariance, 2674

at sign (@) operator, 2745, 2819

AUTOREG procedure, compared, 2665

autoregressive structure, 2721, 2788

banded Toeplitz structure, 2721

bar () operator, 2743, 2745, 2819

basic features, 2662

Bayesian analysis, 2708

between-within method, 2693

BLUE, 2740

BLUP, 2740, 2809

Bonferroni adjustment, 2688

boundary constraints, 2707, 2708, 2773

Box plots, 2762

BYLEVEL processing of LSMEANS, 2689

CALIS procedure, compared, 2665

Cholesky root, 2704, 2764, 2772

class level, 2678

classification variables, 2681

compound symmetry structure, 2721, 2733, 2789, 2794

computational details, 2772

computational order, 2773

Conditional residuals, 2764

confidence interval, 2686, 2713

confidence limits, 2674, 2685, 2689, 2692, 2713

containment method, 2693

continuous effects, 2714, 2715, 2717, 2721

continuous-by-class effects, 2746

continuous-nesting-class effects, 2745

contrasted SAS procedures, 1735, 1833, 1885, 2664, 2665, 2985

contrasts, 2681, 2685

convergence criterion, 2674, 2675, 2749, 2775

convergence problems, 2774

Cook's D, 2768

Cook's D for covariance parameters, 2768

correlation estimates, 2713, 2716, 2720, 2791

correlations of least-squares means, 2689

covariance parameter estimates, 2674, 2676, 2750

covariance parameter estimates, ratio, 2680

covariance parameters, 2661

covariance structures, 2664, 2721, 2723, 2782

covariances of least-squares means, 2689

covariate values for LSMEANS, 2688

covariates, 2743

COVRATIO, 2770

COVRATIO for covariance parameters, 2770

COVTRACE, 2770

COVTRACE for covariance parameters, 2770

CPU requirements, 2776

crossed effects, 2744

degrees of freedom, 2682, 2684-2687, 2690, 2693, 2705, 2742, 2747, 2751, 2774, 2809

DFFITS, 2768

dimensions, 2677, 2678

direct product structure, 2721

Dunnett's adjustment, 2688

EBLUPs, 2715, 2740, 2801, 2817

effect name length, 2678

empirical best linear unbiased prediction, 2703

empirical sandwich estimator , 2676

estimability, 2682-2684, 2686, 2687, 2691, 2704, 2705, 2742, 2748

estimable functions, 2702

estimation methods, 2677

factor analytic structures, 2721

Fisher information matrix, 2750, 2796

Fisher's scoring method, 2674, 2680, 2774

fitting information, 2750, 2751

fixed effects, 2663

fixed-effects parameters, 2661, 2705, 2732

fixed-effects variance matrix, 2705

function evaluations, 2677

G matrix, 2712

general linear structure, 2721

generalized inverse, 2684, 2740

gradient, 2675, 2749

grid search, 2706, 2796

growth curve analysis, 2733

Hannan-Quinn information criterion, 2676

Hessian matrix, 2674, 2675, 2680, 2707, 2749, 2750, 2774, 2775, 2786, 2796

heterogeneity, 2714, 2717, 2792

heterogeneous AR(1) structure, 2721

heterogeneous compound-symmetry structure, 2721

heterogeneous covariance structures, 2730

heterogeneous Toeplitz structure, 2721

hierarchical model, 2810

Hotelling-Lawley-McKeon statistic, 2717

Hotelling-Lawley-Pillai-Sampson statistic, 2718

Hsu's adjustment, 2688

Huynh-Feldt structure, 2721

infinite likelihood, 2717, 2773, 2775

Influence diagnostics details, 2765

Influence plots, 2760

information criteria, 2676

initial values, 2706

input data sets, 2676

interaction effects, 2744

intercept, 2743

intercept effect, 2703, 2713

intraclass correlation coefficient, 2791

introductory example, 2665

iterations, 2677, 2749

Kenward-Roger method, 2695

Kronecker product structure, 2721

L matrices, 2681, 2687, 2742

LATTICE procedure, compared, 2665

least-square means, 2796

least-squares means, 2690, 2819

Likelihood distance, 2770

likelihood ratio test, 2751

linear structure, 2721

log-linear variance model, 2718

main effects, 2744

MAKE statement in Version 6, 2757

Marginal residuals, 2764

Matern covariance structure, 2721

matrix notation, 2731

MDFFITS, 2768

MDFFITS for covariance parameters, 2769

memory requirements, 2775

missing level combinations, 2748

mixed linear model, 2661

mixed model, 2732

mixed model equations, 2678, 2739, 2796

mixed model theory, 2731

model information, 2678

model selection, 2740

multilevel model, 2810

multiple comparisons of least-squares means, 2687, 2690

multiple tables, 2754

multivariate tests, 2717

nested effects, 2745

nested error structure, 2814

NESTED procedure, compared, 2665

Newton-Raphson algorithm, 2738

non-full-rank parameterization, 2664, 2718, 2747

nonstandard weights for LSMEANS, 2690

nugget effect, 2718

Oblique projector, 2767

observed margins for LSMEANS, 2690

ODS graph names, 2762

ODS Graphics, 2757

ODS table names, 2752

ordering of effects, 2679, 2746

over-parameterization, 2744

parameter constraints, 2707, 2773

parameterization, 2743

Pearson Residual, 2704

pharmaceutical stability, example, 2810

Plots of leave-one-out-estimates, 2760

plotting the likelihood, 2801

polynomial effects, 2743

power-of-the-mean model, 2718

predicted means, 2704

predicted value confidence intervals, 2692

predicted values, 2703, 2796

prior density, 2709

profiling residual variance, 2679, 2708, 2718, 2738, 2772

R matrix, 2716, 2720

random coefficients, 2788, 2810

random effects, 2663, 2712

random-effects parameter, 2715

random-effects parameters, 2662, 2732

regression effects, 2743

rejection sampling, 2711

repeated measures, 2662, 2716, 2782

Residual diagnostics details, 2763

residual method, 2694

Residual plots, 2758

residual variance tolerance, 2705

restricted maximum likelihood (REML), 2662

ridging, 2680, 2738

sandwich estimator, 2676

Satterthwaite method, 2694

Scaled Residual, 2705

Scaled residuals, 2764

Schwarz's Bayesian information criterion, 2676, 2740, 2750

scoring, 2674, 2680, 2774

Sidak's adjustment, 2688

simple effects, 2691

simulation-based adjustment, 2688

singularities, 2775

spatial anisotropic exponential structure, 2721

spatial covariance structures, 2722, 2723, 2730, 2774

split-plot design, 2734, 2777

standard linear model, 2663

statement positions , 2672

Studentized Residual, 2704

Studentized residuals, 2768

subject effect, 2683, 2715, 2721, 2776, 2782

summary of commands, 2672

sweep operator, 2768, 2772

table names, 2752

test components , 2702

Toeplitz structure, 2721, 2819

TSCSREG procedure, compared, 2665

Tukey's adjustment, 2688

Type 1 estimation, 2677

Type 2 estimation, 2677

Type 3 estimation, 2677

Type I testing, 2696

Type II testing, 2696

Type III testing, 2696, 2751

unstructured R matrix, 2720

unstructured correlations, 2721

unstructured covariance matrix, 2721

VARCOMP procedure, example, 2795

variance components, 2662, 2721

variance ratios, 2707, 2714

Wald test, 2750, 2751

weighted LSMEANS, 2690

weighting , 2730

zero design columns , 2696

zero variance component estimates, 2774

MIXED procedure, MODEL statement

Influence diagnostics, 2700

ML factor analysis

and computer time, 1297

and confidence intervals, 1294, 1297, 1327

and multivariate normal distribution, 1297

and standard errors, 1297

modal clusters

density estimation (CLUSTER), 970

modal region, definition, 2878

MODECLUS procedure

analyzing data in groups, 2857, 2874

cascaded density estimates, 2873

clustering methods, 2856, 2874

clusters, definition, 2878

clusters, plotting, 2878

compared with other procedures, 2856

cross validated density estimates, 2872

density estimation, 2870

example using GPLOT procedure, 2916, 2923

example using TRACE option, 2927

example using TRANSPOSE procedure, 2912

fixed-radius kernels , 2870

functional summary, 2862

Hertzsprung-Russell Plot, example, 2923

JOIN option, discussion, 2880

modal region, 2878

neighborhood distribution function (NDF), definition, 2878

nonparametric clustering methods, 2855

output data sets, 2883

p -value computation, 2877

plotting samples from univariate distributions, 2889

population clusters, risks of estimating, 2877

saddle test, definition, 2879

scaling variables, 2856

significance tests, 2916

standardizing, 2856

summary of options, 2862

variable-radius kernels, 2870

model

fit summary (REG), 3896

fitting criteria (LOGISTIC), 2341

fitting criteria (SURVEYLOGISTIC), 4279

hierarchy (LOGISTIC), 2283, 2310

hierarchy (TPHREG), 4473, 4475

information (MIXED), 2678

parameterization (GLM), 1787

specification (ANOVA), 451

specification (GLM), 1784

specification (NLMIXED, 3077

model assessment, 1718, 1725

PHREG procedure, 3223, 3265, 3271, 3318

model checking, 1718, 1725

model selection

entry (PHREG), 3230

examples (REG), 3924

LOGISTIC procedure, 2306, 2317, 2340

MIXED procedure, 2740

PHREG procedure, 3216, 3229, 3264

REG procedure, 3800, 3873, 3876, 3877

removal (PHREG), 3230

modification indices

CALIS procedure, 576, 649, 673

constraints (CALIS), 584

displaying (CALIS), 687

Lagrange multiplier test (CALIS), 584, 673, 674

Wald test (CALIS), 584, 674

modified Peto-Peto test for homogeneity

LIFETEST procedure, 2150, 2168

modified ridit scores, 1469

monoecious population analysis

example (INBREED), 1985

monotone

regression function (TRANSREG), 4629

transformations (TRANSREG), 4593

monotone missing pattern

MI procedure, 2538

monotonic

transformation (PRINQUAL), 3662, 3663

transformation (TRANSREG), 4563, 4564, 4610

transformation, B-spline (PRINQUAL), 3662

transformation, B-spline (TRANSREG), 4563, 4611

Monte Carlo estimation

FREQ procedure, 1443, 1445, 1512

NPAR1WAY procedure, 3174

Mood scores

NPAR1WAY procedure, 3168

MORALS method

TRANSREG procedure, 4576

mortality test

MULTTEST procedure, 2952, 2972

MSE

SURVEYREG procedure, 4388

MTV method

PRINQUAL procedure, 3643

multicollinearity

REG procedure, 3895

multidimensional preference analysis

PRINQUAL procedure, 3678, 3688

multidimensional scaling

MDS procedure, 2471

metric (MDS), 2471

nonmetric (MDS), 2471, 2472

three-way (MDS), 2471

multilevel model

example (MIXED), 2810

multilevel response, 3759

multinomial

distribution (GENMOD), 1653

models (GENMOD), 1671

multiple classifications

cutpoints (LOGISTIC), 2315

multiple comparison procedures, 1806,

See also multiple comparisons of means

See also multiple comparisons of least-squares means

GLM procedure, 1763

multiple-stage tests, 1814

pairwise (GLM), 1807

recommendations, 1816

with a control (GLM), 1807, 1812

multiple comparisons adjustment (MIXED)

least-squares means, 2687

multiple comparisons of least-squares means,

See also multiple comparison procedures

GLM procedure, 1754, 1757, 1808

interpretation, 1816

MIXED procedure, 2687, 2690

multiple comparisons of means,

See also multiple comparison procedures

ANOVA procedure, 440

Bonferroni t test, 441, 1765

Duncan's multiple range test, 442, 1766

Dunnett's test, 442, 1766, 1767

error mean square, 443, 1767

examples, 1847

Fisher's LSD test, 445, 1769

Gabriel's procedure, 443, 1767

GLM procedure, 1806, 1808

GT2 method, 444, 1769

interpretation, 1816

Ryan-Einot-Gabriel-Welsch test, 444, 1768

Scheff 's procedure, 444, 1769

Sidak's adjustment, 444, 1769

SMM, 444, 1769

Student-Newman-Keuls test, 444, 1769

Tukey's studentized range test, 445, 1769

Waller-Duncan method, 443

Waller-Duncan test, 445, 1769

multiple correspondence analysis (MCA)

CORRESP procedure, 1076, 1101, 1123

multiple destinations

examples, ODS Graphics, 360

multiple imputation efficiency

MI procedure, 2562

MIANALYZE procedure, 2626

multiple imputations analysis, 2511, 2609

multiple R-square

SURVEYREG procedure, 4387

multiple redundancy coefficients

TRANSREG procedure, 4590

multiple regression

TRANSREG procedure, 4593

multiple tables

MIXED procedure, 2754

multiple-stage tests, 1814,

See multiple comparison procedures

multiplicative hazards model,

See Andersen-Gill model

multistage sampling, 165

multivariate analysis of variance, 433, 436

CANDISC procedure, 786

examples (GLM), 1868

GLM procedure, 1745, 1759, 1823

hypothesis tests (GLM), 1824

partial correlations, 1824

multivariate general linear hypothesis, 1824

multivariate inferences

MIANALYZE procedure, 2626

multivariate multiple regression

TRANSREG procedure, 4593

multivariate normality assumption

MI procedure, 2565

multivariate tests

MIXED procedure, 2717

REG procedure, 3910

repeated measures, 1828

multiway tables

SURVEYFREQ procedure, 4227

MULTTEST procedure

adjusted p -value, 2935, 2956

Bonferroni adjustment, 2939, 2956

bootstrap adjustment, 2938, 2939, 2957

Cochran-Armitage test, 2946, 2948, 2951, 2964

computational resources, 2960

convolution distribution, 2950

displayed output, 2963

double arcsine test, 2951

expected trend, 2951

false discovery rate adjustment, 2959

fast Fourier transform, 2950

Fisher combination adjustment, 2959

Fisher exact test, 2944, 2946, 2954

Freeman-Tukey test, 2946, 2951, 2968

Hochberg adjustment, 2959

Hommel adjustment, 2959

introductory example, 2936

linear trend test, 2949

missing values, 2960

ODS table names, 2963

output data sets, 2961

p -value adjustments, 2935, 2956

permutation adjustment, 2942, 2957, 2975

Peto test, 2946, 2952, 2972

resampled data sets, 2962

Sidak's adjustment, 2942, 2956

statistical tests, 2948

stepdown methods, 2957

strata weights, 2951

t test, 2946, 2955, 2968

Murthy's method

SURVEYSELECT procedure, 4454