SAS/STAT User's Guide

partial likelihood: PHREG procedure "Overview"; PHREG procedure "Partial Likelihood Function for the Cox Model"; PHREG procedure "Partial Likelihood Function for the Cox Model"; PHREG procedure "The Multiplicative Hazards Model"

PARTIAL option: MODEL statement (REG)

partial regression leverage plots: REG procedure

PARTIAL statement: CALIS procedure; PRINCOMP procedure; VARCLUS procedure

partially balanced square lattice: LATTICE procedure

partitions: MDS procedure "Formulas"; MDS procedure "PROC MDS Statement"

passive observations: PRINQUAL procedure; TRANSREG procedure

path diagram (CALIS): exogenous variables; factor analysis model "RAM Model Statement"; factor analysis model "RAM Model Statement"; structural model example "RAM Model Statement"; structural model example "Structural Equation Models"

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

PCHI option: EXACT statement (FREQ); OUTPUT statement (FREQ) "Example 28.5: Creating an Output Data Set Containing Chi-Square Statistics"; OUTPUT statement (FREQ) "OUTPUT Statement"

PCOEF option: PROC MDS statement

PCOMIT= option: MODEL statement (REG); PROC REG statement

PCONFIG option: PROC MDS statement

PCORR option: EXACT statement (FREQ); OUTPUT statement (FREQ); PROC CALIS statement; PROC CANCORR statement; PROC CANDISC statement; PROC DISCRIM statement; PROC STEPDISC statement; TEST statement (FREQ)

PCORR1 option: MODEL statement (REG)

PCORR2 option: MODEL statement (REG)

PCOV option: PROC CANDISC statement; PROC DISCRIM statement; PROC STEPDISC statement

PCOVES option: PROC CALIS statement

PCRPJAC option: NLOPTIONS statement (CALIS)

PCTLDEF= option: PLOT statement (BOXPLOT); PROC STDIZE statement

PCTLMTD option: PROC STDIZE statement

PCTLPTS option: PROC STDIZE statement

PDATA option: PROC MDS statement

PDATA= option: PARMS statement (MIXED); PROC MULTTEST statement

PDETERM option: PROC CALIS statement

PDIFF option: LSMEANS statement (GLM); LSMEANS statement (MIXED) "LSMEANS Statement"; LSMEANS statement (MIXED) "LSMEANS Statement"

Pearson chi-square test

Pearson correlation coefficient

Pearson residuals: GENMOD procedure; LOGISTIC procedure

Pearson's chi-square: GENMOD procedure "Generalized Linear Models Theory"; GENMOD procedure "MODEL Statement"; LOGISTIC procedure "MODEL Statement"; LOGISTIC procedure "MODEL Statement"; LOGISTIC procedure "Overdispersion"

pedigree analysis: example (INBREED) "Example 32.2: Pedigree Analysis"; example (INBREED) "Example 32.3: Pedigree Analysis with BY Groups"; INBREED procedure "Getting Started"; INBREED procedure "Overview"; INBREED procedure "The Format of the Input Data Set"

penalized least squares, TPSPLINE procedure

PENALTY= option: PROC CLUSTER statement

PERCENT= option: PROC ACECLUS statement; PROC VARCLUS statement

permutation: adjustment (MULTTEST) "p-Value Adjustments"; adjustment (MULTTEST) "PROC MULTTEST Statement"; generating with PLAN procedure; test (NPAR1WAY) "PROC NPAR1WAY Statement"; test (NPAR1WAY) "Scores for Linear Rank and One-Way ANOVA Tests"

permutation (MULTTEST): p-value adjustments "Example 43.4: Fisher Test with Permutation Resampling"; p-value adjustments "p-Value Adjustments"; p-value adjustments "PROC MULTTEST Statement"

PERMUTATION option: PROC MULTTEST statement "Example 43.1: Cochran-Armitage Test with Permutation Resampling"; PROC MULTTEST statement "Example 43.4: Fisher Test with Permutation Resampling"; PROC MULTTEST statement "p-Value Adjustments"; PROC MULTTEST statement "PROC MULTTEST Statement"

PERMUTATION= option: TEST statement (MULTTEST) "Example 43.1: Cochran-Armitage Test with Permutation Resampling"; TEST statement (MULTTEST) "Statistical Tests"; TEST statement (MULTTEST) "Statistical Tests"; TEST statement (MULTTEST) "TEST Statement"

PESTIM option: PROC CALIS statement

PETO option: TEST statement (MULTTEST) "Example 43.3: Peto Test"; TEST statement (MULTTEST) "Statistical Tests"

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

PEVENT= option: MODEL statement (LOGISTIC)

PFINAL option: PROC MDS statement

PFIT option: PROC MDS statement

PFITROW option: PROC MDS statement

pharmaceutical stability: example (MIXED)

pharmakokinetics example: NLMIXED procedure

phenogram

PHESSIAN option: NLOPTIONS statement (CALIS)

phi coefficient

PHI option: OUTPUT statement (FREQ)

PHISTORY option: NLOPTIONS statement (CALIS)

PHREG procedure: Andersen-Gill model "Example 49.8: Multiple Failure Outcomes"; Andersen-Gill model "The Multiplicative Hazards Model"; baseline hazard function; BASELINE statistics "BASELINE Statement"; BASELINE statistics "BASELINE Statement"; BASELINE statistics "BASELINE Statement"; BASELINE statistics "BASELINE Statement"; branch and bound algorithm "Example 49.2: Best Subset Selection"; branch and bound algorithm "Variable Selection Methods"; Breslow likelihood; case-control studies "Example 49.3: Conditional Logistic Regression for m:n Matching"; case-control studies "MODEL Statement"; case-control studies "Overview"; conditional logistic regression "Example 49.3: Conditional Logistic Regression for m:n Matching"; conditional logistic regression "Overview"; continuous time scale "Example 49.3: Conditional Logistic Regression for m:n Matching"; continuous time scale "MODEL Statement"; continuous time scale "Overview"; counting process; covariance matrix "MODEL Statement"; covariance matrix "Newton-Raphson Method"; covariance matrix "PROC PHREG Statement"; Cox regression analysis "Getting Started"; Cox regression analysis "Overview"; cumulative baseline hazard function; DATA step statements "Example 49.4: Model Using Time-Dependent Explanatory Variables"; DATA step statements "Getting Started"; DATA step statements "Programming Statements"; DATA step statements "Syntax"; descriptive statistics; DFBETA statistics; discrete logistic model "Example 49.3: Conditional Logistic Regression for m:n Matching"; discrete logistic model "MODEL Statement"; discrete logistic model "Overview"; disk space; displayed output; Efron likelihood; event times "Getting Started"; event times "Overview"; exact likelihood; fractional frequencies; global influence "Influence of Observations on Overall Fit of the Model"; global influence "Influence of Observations on Overall Fit of the Model"; global influence "OUTPUT Statement"; global influence "OUTPUT Statement"; global null hypothesis "Displayed Output"; global null hypothesis "Getting Started"; global null hypothesis "Testing the Global Null Hypothesis"; hazard function "Failure Time Distribution"; hazard function "Overview"; hazards ratio "Getting Started"; hazards ratio "Hazards Ratio Estimates and Confidence Limits"; hazards ratio confidence interval "MODEL Statement"; hazards ratio confidence interval "MODEL Statement"; iteration history "Displayed Output"; iteration history "MODEL Statement"; left truncation time "Left Truncation of Failure Times"; left truncation time "MODEL Statement"; likelihood displacement "Influence of Observations on Overall Fit of the Model"; likelihood displacement "OUTPUT Statement"; likelihood ratio test "Displayed Output"; likelihood ratio test "Displayed Output"; likelihood ratio test "Testing the Global Null Hypothesis"; linear hypotheses "Overview"; linear hypotheses "TEST Statement"; linear hypotheses "Testing Linear Hypotheses about Regression Coefficients"; linear predictor "BASELINE Statement"; linear predictor "Example 49.7: Analysis of Residuals"; linear predictor "Example 49.7: Analysis of Residuals"; linear predictor "OUTPUT Statement"; linear predictor "OUTPUT Statement"; local influence "Diagnostics Based on Weighted Residuals"; local influence "OUTPUT Statement"; log-rank test; Mantel-Haenszel test; missing values "Example 49.4: Model Using Time-Dependent Explanatory Variables"; missing values "MODEL Statement"; missing values "Programming Statements"; missing values as strata; model selection "MODEL Statement"; model selection "MODEL Statement"; model selection "MODEL Statement"; model selection "MODEL Statement"; model selection "Overview"; model selection "Variable Selection Methods"; multiplicative hazards model "Example 49.8: Multiple Failure Outcomes"; multiplicative hazards model "The Multiplicative Hazards Model"; ODS table names; offset variable; OUTPUT statistics "OUTPUT Statement"; OUTPUT statistics "OUTPUT Statement"; OUTPUT statistics "OUTPUT Statement"; OUTPUT statistics "OUTPUT Statement"; OUTPUT statistics "OUTPUT Statement"; OUTPUT statistics "OUTPUT Statement"; OUTPUT statistics "OUTPUT Statement"; OUTPUT statistics "OUTPUT Statement"; parameter estimates "Displayed Output"; parameter estimates "Displayed Output"; parameter estimates "Getting Started"; parameter estimates "PROC PHREG Statement"; parameter estimates "PROC PHREG Statement"; partial likelihood "Overview"; partial likelihood "Overview"; partial likelihood "Partial Likelihood Function for the Cox Model"; partial likelihood "Partial Likelihood Function for the Cox Model"; partial likelihood "The Multiplicative Hazards Model"; Prentice-Williams-Peterson model; programming statements "Example 49.4: Model Using Time-Dependent Explanatory Variables"; programming statements "Getting Started"; programming statements "PROC PHREG Statement"; programming statements "Programming Statements"; programming statements "Programming Statements"; programming statements "Syntax"; proportional hazards model "Getting Started"; proportional hazards model "MODEL Statement"; proportional hazards model "Overview"; residual chi-square; residuals "Diagnostics Based on Weighted Residuals"; residuals "Diagnostics Based on Weighted Residuals"; residuals "Example 49.7: Analysis of Residuals"; residuals "OUTPUT Statement"; residuals "OUTPUT Statement"; residuals "OUTPUT Statement"; residuals "OUTPUT Statement"; residuals "OUTPUT Statement"; residuals "Residuals"; residuals "Residuals"; residuals "Residuals"; residuals "Residuals"; residuals "Residuals"; response variable "Example 49.3: Conditional Logistic Regression for m:n Matching"; response variable "Getting Started"; risk set "Example 49.4: Model Using Time-Dependent Explanatory Variables"; risk set "Getting Started"; risk set "Partial Likelihood Function for the Cox Model"; risk set "Partial Likelihood Function for the Cox Model"; risk weights; score test "Displayed Output"; score test "Displayed Output"; score test "Example 49.1: Stepwise Regression"; score test "Example 49.1: Stepwise Regression"; score test "MODEL Statement"; score test "MODEL Statement"; score test "Testing the Global Null Hypothesis"; selection methods "MODEL Statement"; selection methods "MODEL Statement"; selection methods "Overview"; selection methods "Variable Selection Methods"; singularity criterion; standard error "Displayed Output"; standard error "OUTPUT Statement"; standard error "OUTPUT Statement"; step halving; strata variables; stratified analysis "Overview"; stratified analysis "STRATA Statement"; survival distribution function; survival times "Example 49.3: Conditional Logistic Regression for m:n Matching"; survival times "Example 49.3: Conditional Logistic Regression for m:n Matching"; survival times "Overview"; survival times "Overview"; survivor function "BASELINE Statement"; survivor function "Example 49.6: Survivor Function Estimates for Specific Covariate Values"; survivor function "Example 49.6: Survivor Function Estimates for Specific Covariate Values"; survivor function "Failure Time Distribution"; survivor function "Failure Time Distribution"; survivor function "OUTPUT Statement"; survivor function "Overview"; survivor function "Overview"; survivor function "Survival Distribution Estimates for the Cox Model"; ties "Displayed Output"; ties "Getting Started"; ties "MODEL Statement"; ties "MODEL Statement"; ties "MODEL Statement"; ties "Overview"; ties "Partial Likelihood Function for the Cox Model"; time-dependent covariates "BASELINE Statement"; time-dependent covariates "Getting Started"; time-dependent covariates "OUTPUT Statement"; time-dependent covariates "Overview"; time-dependent covariates "PROC PHREG Statement"; time-dependent covariates "Programming Statements"; Wald test "Displayed Output"; Wald test "Displayed Output"; Wald test "Example 49.3: Conditional Logistic Regression for m:n Matching"; Wald test "TEST Statement"; Wald test "Testing Linear Hypotheses about Regression Coefficients"; Wald test "Testing the Global Null Hypothesis"; Wei-Lin-Weissfeld model

PHREG procedure, BASELINE statement: ALPHA= option; CLTYPE= option; COVARIATES= option; keyword= option; METHOD= option; NOMEAN option; OUT= option

PHREG procedure, BY statement

PHREG procedure, FREQ statement: NOTRUNCATE option

PHREG procedure, ID statement

PHREG procedure, MODEL statement: ALPHA= option; BEST= option; CORRB option; COVB option; DETAILS option; ENTRYTIME= option; INCLUDE= option; ITPRINT option; MAXITER= option; MAXSTEP= option; NOFIT option; OFFSET= option; RISKLIMITS option; SELECTION= option; SEQUENTIAL option; SINGULAR= option; SLENTRY= option; SLSTAY= option; START= option; STOP= option; STOPRES option; TIES= option

PHREG procedure, OUTPUT statement: keyword= option; METHOD= option; ORDER= option; OUT= option

PHREG procedure, PROC PHREG statement: COVOUT option; DATA= option; MULTIPASS option; NOPRINT option; NOSUMMARY option; OUTEST= option; SIMPLE option

PHREG procedure, STRATA statement: MISSING option

PHREG procedure, TEST statement: PRINT option

piecewise polynomial splines: TRANSREG procedure "MODEL Statement"; TRANSREG procedure "SPLINE, BSPLINE, and PSPLINE Comparisons"

Pillai's trace

PINAVDATA option: PROC MDS statement

PINEIGVAL option: PROC MDS statement

PINEIGVEC option: PROC MDS statement

PININ option: PROC MDS statement

PINIT option: NLOPTIONS statement (CALIS); PROC MDS statement

PINITIAL option: PROC CALIS statement

PITER option: PROC MDS statement

PJACPAT option: PROC CALIS statement

PJTJ option: NLOPTIONS statement (CALIS)

PLAN procedure: combinations; compared to other procedures; factor, selecting levels for "FACTORS Statement"; factor, selecting levels for "FACTORS Statement"; factor, selecting levels for "PROC PLAN Statement"; factor-value-setting specification "OUTPUT Statement"; factor-value-setting specification "OUTPUT Statement"; generalized cyclic incomplete block design; hierarchical design; incomplete block design "Example 50.3: An Incomplete Block Design"; incomplete block design "Example 50.5: A Generalized Cyclic Incomplete Block Design"; input data sets "OUTPUT Statement"; input data sets "OUTPUT Statement"; input data sets "PROC PLAN Statement"; introductory example; Latin square design; nested design; ODS table names; output data sets "Output Data Sets"; output data sets "Output Data Sets"; output data sets "OUTPUT Statement"; output data sets "OUTPUT Statement"; output data sets "PROC PLAN Statement"; permutations; random number generators; randomizing designs "Output Data Sets"; randomizing designs "Randomizing Designs"; specifying factor structures; split-plot design; treatments, specifying; using interactively

PLAN procedure, FACTOR statement: NOPRINT option

PLAN procedure, FACTORS statement

PLAN procedure, OUTPUT statement: CVALS= option; factor-value-settings option; NVALS= option; ORDERED option; OUT= option; RANDOM option

PLAN procedure, PROC PLAN statement: ORDERED option; SEED option

PLAN procedure, TREATMENTS statement

PLATCOV option: PROC CALIS statement

PLCL option: MODEL statement (LOGISTIC)

PLCONV= option: MODEL statement (LOGISTIC)

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

%PLOT macro: DISCRIM procedure

PLOT option: PROC FACTOR statement

PLOT statement: BOXPLOT procedure; REG procedure

%PLOTIT macro: CORRESP procedure "Example 24.2: Multiple Correspondence Analysis of Cars and Their Owners"; CORRESP procedure "Example 24.3: Simple Correspondence Analysis of U.S. Population"; CORRESP procedure "Getting Started"; DISCRIM procedure; MDS procedure; PRINCOMP procedure "Example 52.1: Crime Rates"; PRINCOMP procedure "Getting Started"; PRINCOMP procedure "Getting Started"; PRINQUAL procedure "Example 53.1: Multidimensional Preference Analysis of Cars Data"; PRINQUAL procedure "Example 53.1: Multidimensional Preference Analysis of Cars Data"; TRANSREG procedure "Example 65.5: Preference Mapping of Cars Data"; TRANSREG procedure "Example 65.5: Preference Mapping of Cars Data"; TRANSREG procedure "Output Data Set"

plots: examples (REG); high resolution (REG); keywords (REG); likelihood (MIXED); line printer (REG) "Line Printer Scatter Plot Features"; line printer (REG) "PLOT Statement"; MDS procedure; of configuration (MDS) "Example 40.1: Jacobowitz Body Parts Data from Children and Adults"; of configuration (MDS) "Example 40.1: Jacobowitz Body Parts Data from Children and Adults"; of dimension coefficients (MDS) "Example 40.1: Jacobowitz Body Parts Data from Children and Adults"; of dimension coefficients (MDS) "Example 40.1: Jacobowitz Body Parts Data from Children and Adults"; of linear fit (MDS); options (REG) "PLOT Statement"; options (REG) "PLOT Statement"

PLOTS= option: PROC LIFETEST statement

plotting samples from univariate distributions: MODECLUS procedure

PLRL option: MODEL statement (LOGISTIC)

PLS procedure: algorithms; centering; compared to other procedures; components; computation method; cross validation "Basic Features"; cross validation "Cross Validation"; cross validation "Cross Validation"; cross validation method; examples; factors; factors, selecting the number of; introductory example; latent vectors; ODS table names; outlier detection; output data sets; output keywords; partial least squares regression "Basic Features"; partial least squares regression "Overview"; partial least squares regression "Regression Methods"; predicting new observations; principal components regression "Basic Features"; principal components regression "Regression Methods"; reduced rank regression "Basic Features"; reduced rank regression "Regression Methods"; scaling; SIMPLS method; test set validation "Cross Validation"; test set validation "Example 51.3: Choosing a PLS Model by Test Set Validation"

PLS procedure, BY statement

PLS procedure, CLASS statement

PLS procedure, MODEL statement: INTERCEPT option; SOLUTION option

PLS procedure, OUTPUT statement

PLS procedure, PROC PLS statement: ALGORITHM= option; CENSCALE option; CV= option; CVTEST= option; DATA= option; DETAILS option; EPSILON= option; MAXITER= option; METHOD= option; NFAC= option; NITER= option; NOCENTER option; NOCVSTDIZE option; NOPRINT option; NOSCALE option "PROC PLS Statement"; NOSCALE option "PROC PLS Statement"; NTEST= option; PVAL= option; SEED= option "PROC PLS Statement"; SEED= option "PROC PLS Statement"; STAT= option "PROC PLS Statement"; STAT= option "PROC PLS Statement"; VARSCALE option

PNLCJAC option: NLOPTIONS statement (CALIS)

point models: TRANSREG procedure

POINT transformation: MODEL statement (TRANSREG)

Poisson distribution: GENMOD procedure; NLMIXED procedure

Poisson regression: GENMOD procedure "Examples of Generalized Linear Models"; GENMOD procedure "Poisson Regression"

Poisson-normal example: NLMIXED procedure

polychoric correlation coefficient

polynomial effects: GENMOD procedure; MIXED procedure; model parameterization (GLM); specifying (GLM)

POLYNOMIAL keyword: REPEATED statement (ANOVA)

polynomial model: GLMMOD procedure

POLYNOMIAL option: REPEATED statement (GLM) "Example 30.7: Repeated Measures Analysis of Variance"; REPEATED statement (GLM) "Repeated Measures Analysis of Variance"; REPEATED statement (GLM) "REPEATED Statement"

polynomial regression: REG procedure

polynomial-spline basis: TRANSREG procedure "MODEL Statement"; TRANSREG procedure "SPLINE, BSPLINE, and PSPLINE Comparisons"

POOL= option: PROC DISCRIM statement

pooled stratum: SURVEYREG procedure

pooled within-cluster covariance matrix: definition

population: profile (CATMOD); total (SURVEYMEANS) "PROC SURVEYMEANS Statement"; total (SURVEYMEANS) "Specification of Population Totals and Sampling Rates"; total (SURVEYREG) "PROC SURVEYREG Statement"; total (SURVEYREG) "Specification of Population Totals and Sampling Rates"

population (INBREED): monoecious; multiparous "DATA= Data Set"; multiparous "PROC INBREED Statement"; multiparous "PROC INBREED Statement"; nonoverlapping; overlapping "Computational Details"; overlapping "Performing the Analysis"; overlapping "The Format of the Input Data Set"

population clusters: risks of estimating (MODECLUS)

population profile

POPULATION statement, CATMOD procedure

POS= option: PROC TREE statement

posterior probability: DISCRIM procedure; error rate estimation (DISCRIM)

POSTERR option: PROC DISCRIM statement

POWER= option: PROC FACTOR statement; PROC MODECLUS statement

power semivariogram model: KRIGE2D procedure

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

power-of-the-mean model: MIXED procedure

PP option: PROC ACECLUS statement

PPC convergence measure

PPREFIX option: OUTPUT statement (TRANSREG)

PPROB= option: MODEL statement (LOGISTIC)

PPS

PPS sampling: SURVEYSELECT procedure "Example 63.2: PPS Selection of Two Units Per Stratum"; SURVEYSELECT procedure "PPS Sampling with Replacement"; SURVEYSELECT procedure "PPS Sampling without Replacement"; SURVEYSELECT procedure "PPS Sequential Sampling"; SURVEYSELECT procedure "PPS Systematic Sampling"; SURVEYSELECT procedure "PROC SURVEYSELECT Statement"; SURVEYSELECT procedure "PROC SURVEYSELECT Statement"; SURVEYSELECT procedure "PROC SURVEYSELECT Statement"; SURVEYSELECT procedure "PROC SURVEYSELECT Statement"

PR2ENTRY= option: PROC STEPDISC statement

PR2STAY= option: PROC STEPDISC statement

precision: NLMIXED procedure

PRED option: MODEL statement (GENMOD); PLOT statement (REG)

PRED= option: MODEL statement (CATMOD)

PREDET option: PROC CALIS statement

PREDICT option: MODEL statement (CATMOD); MODEL statement (RSREG); PROC SCORE statement

PREDICT statement: NLMIXED procedure

PREDICT statement (KRIGE2D)

PREDICTED keyword: OUTPUT statement (GLM); OUTPUT statement (LIFEREG)

predicted means: MIXED procedure

predicted model matrix: CALIS procedure "Estimation Criteria"; CALIS procedure "Exogenous Manifest Variables"; CALIS procedure "Output Data Sets"; displaying (CALIS); singular (CALIS)

PREDICTED option: MODEL statement (GENMOD); OUTPUT statement (TRANSREG)

PREDICTED= option: OUTPUT statement (LOGISTIC); OUTPUT statement (NLIN)

predicted population margins: GLM procedure

predicted probabilities: LOGISTIC procedure

predicted residual sum of squares: RSREG procedure

predicted value confidence intervals: MIXED procedure

predicted values: example (MIXED); LIFEREG procedure; mixed model (MIXED); MIXED procedure; NLIN procedure; REG procedure "Criteria Used in Model-Selection Methods"; REG procedure "Predicted and Residual Values"; response functions (CATMOD)

prediction: example (REG); NLMIXED procedure "PREDICT Statement"; NLMIXED procedure "Prediction"

PREDPROBS= option: OUTPUT statement (LOGISTIC)

preference mapping: TRANSREG procedure "Example 65.5: Preference Mapping of Cars Data"; TRANSREG procedure "Model Statement Usage"

preference models: TRANSREG procedure

prefix name: LINEQS statement (CALIS); MATRIX statement (CALIS); RAM statement (CALIS); STD statement (CALIS)

PREFIX= option: MANOVA statement (ANOVA); MANOVA statement (GLM); PROC ACECLUS statement; PROC CANDISC statement; PROC GLMMOD statement; PROC PRINCOMP statement; PROC PRINQUAL statement

preliminary clusters: definition (CLUSTER); using in CLUSTER procedure

Prentice-Williams-Peterson model: PHREG procedure

PREPLOT option: PROC FACTOR statement

PREROTATE= option: PROC FACTOR statement

PRESS keyword: OUTPUT statement (GLM)

PRESS option: MODEL statement (REG); MODEL statement (RSREG); PROC REG statement

PRESS statistic: RSREG procedure

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

primary sampling unit (PSUs)

primary sampling units (PSUs): SURVEYMEANS procedure; SURVEYREG procedure

PRIMAT option: PROC CALIS statement

principal component analysis: compared with common factor analysis; PRINQUAL procedure; with FACTOR procedure

principal components: definition; interpreting eigenvalues; partialling out variables; properties of "Overview"; properties of "Overview"; properties of "Overview"; regression (PLS) "Basic Features"; regression (PLS) "Regression Methods"; rotating; using weights

principal factor analysis: with FACTOR procedure

PRINCOMP procedure: CALIS procedure; computational resources; correction for means; Crime Rates Data, example; DATA= data set; eigenvalues and eigenvectors "Displayed Output"; eigenvalues and eigenvectors "Displayed Output"; eigenvalues and eigenvectors "Output Data Sets"; eigenvalues and eigenvectors "Output Data Sets"; eigenvalues and eigenvectors "Overview"; examples "Example 52.2: Basketball Data"; examples "Examples"; examples "Getting Started"; input data set; output data sets "Output Data Sets"; output data sets "Output Data Sets"; output data sets "Output Data Sets"; output data sets "Output Data Sets"; output data sets "Output Data Sets"; output data sets "PROC PRINCOMP Statement"; output data sets "PROC PRINCOMP Statement"; output table names; OUTSTAT= data set; %PLOTIT macro "Example 52.1: Crime Rates"; %PLOTIT macro "Getting Started"; %PLOTIT macro "Getting Started"; replace missing values, example; SCORE procedure; suppressing output; weights

PRINCOMP procedure, BY statement

PRINCOMP procedure, FREQ statement

PRINCOMP procedure, PARTIAL statement

PRINCOMP procedure, PROC PRINCOMP statement: COV option; COVARIANCE option; DATA= option; N= option; NOINT option; NOPRINT option; OUT= option; OUTSTAT= option; PREFIX= option; SING= option; SINGULAR= option; STANDARD option; STD option; VARDEF= option

PRINCOMP procedure, VAR statement

PRINCOMP procedure, WEIGHT statement

PRINQUAL procedure: biplot; casewise deletion; constant transformations, avoiding; constant variables; excluded observations "Passive Observations"; excluded observations "PROC PRINQUAL Statement"; frequency variable; identity transformation; iterations "Controlling the Number of Iterations"; iterations "PROC PRINQUAL Statement"; iterations "REITERATE Option Usage"; knots "TRANSFORM Statement"; knots "TRANSFORM Statement"; knots "TRANSFORM Statement"; linear transformation; MAC method "The Three Methods of Variable Transformation"; MAC method "Using the MAC Method"; maximum average correlation method "The Three Methods of Variable Transformation"; maximum average correlation method "Using the MAC Method"; maximum total variance method; MDPREF analysis; MGV method; minimum generalized variance method; missing character values; missing values "Missing Values"; missing values "Passive Observations"; missing values "PROC PRINQUAL Statement"; monotonic B-spline transformation; monotonic transformation "TRANSFORM Statement"; monotonic transformation "TRANSFORM Statement"; MTV method; multidimensional preference analysis; nonoptimal transformations; optimal scoring; optimal transformations; output data sets; output table names; passive observations; %PLOTIT macro "Example 53.1: Multidimensional Preference Analysis of Cars Data"; %PLOTIT macro "Example 53.1: Multidimensional Preference Analysis of Cars Data"; principal component analysis; random initializations; reflecting the transformation; renaming variables; reusing variables; smoothing spline transformation; spline t-options; spline transformation; standardization; transformation options; variable names; weight variable

PRINQUAL procedure, BY statement

PRINQUAL procedure, FREQ statement

PRINQUAL procedure, ID statement

PRINQUAL procedure, PROC PRINQUAL statement: APPROXIMATIONS option; APREFIX= option; CCONVERGE= option; CHANGE= option; CONVERGE= option; CORRELATIONS option; COVARIANCE option; DATA= option; DUMMY option; INITITER= option; MAXITER= option; MDPREF option; METHOD= option; MONOTONE= option; N= option; NOCHECK option; NOMISS option; NOPRINT option; OUT= option; PREFIX= option; REFRESH= option; REITERATE option; REPLACE option; SCORES option; SINGULAR= option; STANDARD option; TPREFIX= option; TSTANDARD= option; TYPE= option; UNTIE= option

PRINQUAL procedure, TRANSFORM statement: ARSIN transformation; DEGREE= option; EVENLY option; EXP transformation; IDENTITY transformation; KNOTS= option; LINEAR transformation; LOG transformation; LOGIT transformation; MONOTONE transformation; MSPLINE transformation; NAME= option; NKNOTS= option; OPSCORE transformation; ORIGINAL option; PARAMETER= option; POWER transformation; RANK transformation; REFLECT option; SM= option; SPLINE transformation; SSPLINE transformation; TSTANDARD= option; UNTIE transformation

PRINQUAL procedure, WEIGHT statement

PRINT option: MTEST statement (REG); NLOPTIONS statement (CALIS); PROC CALIS statement; PROC FACTOR statement; PROC NLIN statement; SCORE statement(LOESS); TEST statement (LOGISTIC); TEST statement (PHREG); TEST statement (REG)

PRINT= option: PROC CLUSTER statement; PROC CORRESP statement

PRINT statement, REG procedure

PRINTE option: MANOVA statement (ANOVA); MANOVA statement (GLM); REPEATED statement (ANOVA); REPEATED statement (GLM) "Repeated Measures Analysis of Variance"; REPEATED statement (GLM) "REPEATED Statement"

PRINTH option: MANOVA statement (ANOVA); MANOVA statement (GLM); REPEATED statement (ANOVA); REPEATED statement (GLM)

PRINTKWT option: TABLES statement (FREQ)

PRINTM option: REPEATED statement (ANOVA); REPEATED statement (GLM)

PRINTRV option: REPEATED statement (ANOVA); REPEATED statement (GLM)

prior density: MIXED procedure

prior event probability: LOGISTIC procedure "Classification Table"; LOGISTIC procedure "Example 39.5: Stratified Sampling"; LOGISTIC procedure "MODEL Statement"

PRIOR statement: MIXED procedure

PRIORS= option: PROC FACTOR statement

PRIORS statement: DISCRIM procedure

PRIVEC option: PROC CALIS statement

PROB option: MODEL statement (CATMOD)

probability density function: LIFETEST procedure

probability distribution: built-in (GENMOD) "MODEL Statement"; built-in (GENMOD) "The GENMOD Procedure"; exponential family (GENMOD); user-defined (GENMOD)

probit equation

PROBIT procedure: Abbot's formula; binary response data "Model Specification"; binary response data "Overview"; binary response data "Overview"; deviance statistic; extreme value distribution; goodness of fit tests "Lack of Fit Tests"; goodness of fit tests "PROC PROBIT Statement"; goodness of fit tests "PROC PROBIT Statement"; inverse confidence limits; log-likelihood function; logistic distribution; maximum-likelihood estimates; missing values; models; multilevel response data "Model Specification"; multilevel response data "Overview"; multilevel response data "Overview"; natural response rate; Newton-Raphson algorithm; normal distribution; output table names; Pearson chi-square; threshold response rate; tolerance distribution

PROBIT procedure, BY statement

PROBIT procedure, CLASS statement

PROBIT procedure, MODEL statement: CONVERGE option; CORRB option; COVB option; DISTRIBUTION= option; HPROB= option; INITIAL option; INTERCEPT= option; INVERSECL option; ITPRINT option; LACKFIT option; MAXITER= option; NOINT option; SINGULAR= option

PROBIT procedure, OUTPUT statement

PROBIT procedure, PROC PROBIT statement: COVOUT option; DATA= option; HPROB= option; INVERSECL option; LACKFIT option; LOG option; LOG10 option; NOPRINT option; OPTC option "PROC PROBIT Statement"; OPTC option "PROC PROBIT Statement"; ORDER=option; OUTEST= option

PROBIT procedure, WEIGHT statement

probit-normal-binomial example: NLMIXED procedure

probit-normal-ordinal example: NLMIXED procedure

PROBT option: PROC CANCORR statement

PROC SURVEYSELECT statement

PROC TTEST: See TTEST procedure

procrustes rotation

product-limit estimates: LIFETEST procedure

PROFILE keyword: REPEATED statement (ANOVA)

profile likelihood confidence intervals: GENMOD procedure

PROFILE option: REPEATED statement (GLM) "Repeated Measures Analysis of Variance"; REPEATED statement (GLM) "REPEATED Statement"

PROFILE= option: FACTORS statement (CATMOD); PROC CORRESP statement; REPEATED statement (CATMOD)

profile, population and response: CATMOD procedure

profiling residual variance: MIXED procedure

progeny: INBREED procedure "Computational Details"; INBREED procedure "Computational Details"; INBREED procedure "Computational Details"; INBREED procedure "DATA= Data Set"; INBREED procedure "Example 32.2: Pedigree Analysis"; INBREED procedure "Missing Values"