MedCalc

# Scripts - Parameters for statistical procedures and graphs

Age-related reference interval
 PROC REFINTERVALAGE $Variable Continuous variable$AgeVariable Age variable $Filter Filter$Centiles {1,2.5,5,10,90,95,97.5,99} $PowersMean {-2,-1,-0.5,0,0.5,1,2,3}$PowersSD {-2,-1,-0.5,0,0.5,1,2,3} $Log TRUE | FALSE$BoxCoxTransform TRUE | FALSE $Lambda Real$Shift Real $RefIntervalOutlierTest NONE | REED | TUKEY$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE

For details, see Age-related reference interval

Analysis of Covariance (ANCOVA)
 PROC ANCOVA $Variable Variable$Factor1 Variable $Factor2 Variable$Filter Filter $Covariates[1..24] Variable(s)$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE

For details, see Analysis of covariance

Bland-Altman plot
 PROC BLANDALTMAN $Variable1 Variable$Variable2 Variable $Filter Filter$Subgroups Variable $BAxAxis AVERAGE | METHOD1 | METHOD2 | GEOMETRICMEAN | AVGRANK | RANK1 | RANK2$BAMethod DIFFERENCES | DIFFERENCES% | RATIOS $MaxDifference Real$BALineOfEquality TRUE | FALSE $CIMean TRUE | FALSE$CILimitsOfAgreement TRUE | FALSE $CIErrorBars TRUE | FALSE$BARegression TRUE | FALSE $BARegressionCI TRUE | FALSE For details, see Bland-Altman plot Bland-Altman plot with multiple measurements per subject $Variable1 Variable $Variable2 Variable$Factor Variable (subject identification) $Filter Filter$TrueValueConstant TRUE | FALSE $BAxAxis AVERAGE | METHOD1 | METHOD2 | GEOMETRICMEAN | AVGRANK | RANK1 | RANK2$BAMethod DIFFERENCES | RATIOS $MaxDifference Real$BALineOfEquality TRUE | FALSE $CILimitsOfAgreement TRUE | FALSE$CIErrorBars TRUE | FALSE PROC BLANDALTMANMULTI

For details, see Bland-Altman plot with multiple measurements per subject

Box-and-Whisker plot
 PROC BOXWHISKER $Variable Variable$Filter Filter $Log TRUE | FALSE$PlotAllPoints TRUE | FALSE $Vertical TRUE | FALSE For details, see Box-and-whisker plot Chi-Squared test  PROC CHI2TEST$Factor1 Variable $Factor2 Variable$Filter Filter

For details, see Chi-squared test

Clustered multiple comparison graphs
 PROC GRAPHMULTCOMPCLUST $Variable Variable$Factor1 Variable $Factor2 Variable$Filter Filter $Bars TRUE | FALSE$MidLines TRUE | FALSE $MidMarkers TRUE | FALSE$ConnectingLines TRUE | FALSE $MeanOrMedian MEAN | MEDIAN$ErrorBarsMean NONE | MEANCI | 1SD | 2SD | 3SD | SEM | RANGE $ErrorBarsMedian$ErrorBarsMedian NONE | MEDIANCI | PR50 | PR80 | PR90 | PR95 | PR98 | RANGE (*) $BoxWhisker TRUE | FALSE$NotchedBW TRUE | FALSE $ViolinPlot TRUE | FALSE$PlotAllPoints TRUE | FALSE $Log TRUE | FALSE For details, see Clustered multiple comparison graphs (*) Note: PR50 is 50% percentile range (25-75 percentiles; Interquartile range); PR80 is 80% percentile range (10-90 percentile), etc. Clustered multiple variables graphs  PROC GRAPHMULTIVARCLUST$Covariates[1..24] Variable(s) $Factor Variable$Filter Filter $Bars TRUE | FALSE$MidLines TRUE | FALSE $MidMarkers TRUE | FALSE$ConnectingLines TRUE | FALSE $MeanOrMedian MEAN | MEDIAN$ErrorBarsMean NONE | MEANCI | 1SD | 2SD | 3SD | SEM | RANGE $ErrorBarsMedian$ErrorBarsMedian NONE | MEDIANCI | PR50 | PR80 | PR90 | PR95 | PR98 | RANGE (*) $BoxWhisker TRUE | FALSE$NotchedBW TRUE | FALSE $ViolinPlot TRUE | FALSE$PlotAllPoints TRUE | FALSE $DotAndLines TRUE | FALSE$Log TRUE | FALSE $CompleteCasesOnly TRUE | FALSE$ClusteredByVariables TRUE | FALSE

For details, see Clustered multiple variables graphs

(*) Note: PR50 is 50% percentile range (25-75 percentiles; Interquartile range); PR80 is 80% percentile range (10-90 percentile), etc.

Cochran–Mantel–Haenszel test
 PROC CMHTEST $Classifier Dichotomous outcome variable$Groups Group variable $Factor Factor variable$Filter Filter

For details, see Cochran–Mantel–Haenszel test

Cochran's Q test
 PROC COCHRANQ $Covariates[1..24] Variable(s)$Filter Filter $Alpha Real For details, see Cochran's Q test Coefficient of variation from duplicate measurements  PROC CVFROMDUPLICATES$VariableX Variable $VariableY Variable$Filter Filter $CVMethod WSSD | LOG | RMS For details, see Coefficient of variation from duplicate measurements Comparison of independent ROC Curves  PROC COMPAREINDEPENDENTROC$Variable Variable $Groups Group variable$Classifier Dichotomous variable $Filter Filter$ROCMethod DELONG | HANLEY $BinomialCI TRUE | FALSE$ShowGraph TRUE | FALSE $MarkPoints TRUE | FALSE For details, see Comparison of independent ROC curves Comparison of ROC Curves  PROC COMPAREROC$Covariates[1..6] Variables $Classifier Dichotomous variable$Filter Filter $ROCMethod DELONG | HANLEY$BinomialCI TRUE | FALSE $ShowGraph TRUE | FALSE$MarkPoints TRUE | FALSE

For details, see Comparison of ROC curves

Comparison of partial areas under ROC curves
 PROC PARTIALROCCOMPARE $Variable1 Variable$Variable2 Variable $Classifier Dichotomous variable$Filter Filter $Paired TRUE | FALSE$PartialInterval SENSITIVITY | SPECIFICITY $ValLow Real (0..100)$ValHigh Real (0..100) $Bootstrap TRUE | FALSE$BootstrapLoops Integer $RandomNrSeed Integer$ShowGraph TRUE | FALSE

For details, see Comparison of partial areas under ROC curves

Comparison of precision-recall curves
 PROC PRECISIONRECALLCOMPARE $Variable1 Variable$Variable2 Variable $Classifier Dichotomous variable$Filter Filter $Paired TRUE | FALSE$Bootstrap TRUE | FALSE $BootstrapLoops Integer$RandomNrSeed Integer $MarkPoints TRUE | FALSE For details, see Comparison of precision-recall curves Concordance correlation coefficient  PROC CONCORDANCE$VariableX Variable $VariableY Variable$Filter Filter $LogX TRUE | FALSE$LogY TRUE | FALSE

For details, see Concordance correlation coefficient

Control Chart
 PROC CONTROLCHART $Variable Variable$Filter Filter $Labels Variable$CtrlType DATA | STANDARD | USER $CtrlN Integer$CtrlMean Real $CtrlSD Real$CtrlUClim Real $CtrlUWlim Real$CtrlRefval Real $CtrlLWlim Real$CtrlLClim Real $CtrlApplyrules TRUE | FALSE$CtrlRule1x2S TRUE | FALSE $CtrlRule1x3S TRUE | FALSE$CtrlRule2x2S TRUE | FALSE $CtrlRule4x1S TRUE | FALSE$CtrlRule10X TRUE | FALSE $CtrlRule10N Integer For details, see Control chart Correlation  PROC CORRELATION$VariableX Variable $VariableY Variable$Filter Filter $LogX TRUE | FALSE$LogY TRUE | FALSE

For details, see Correlation coefficient

Cox proportional-hazards regression
 PROC COXREGRESSION $Time Variable$EndPoint Variable $Covariates[1..24] Variable(s)$Filter Filter $SelectMethod ENTER | FORWARD | BACKWARD | STEPWISE$PEnter Real $PRemove Real$SurvivalGraph NONE | SURVIVAL | 100_SURVIVAL $Factor Variable For details, see Cox proportional-hazards regression Cronbach's alpha  PROC CRONBACHALPHA$Covariates[1..24] Variable(s) $Filter Filter$ScaleReversal TRUE | FALSE

For details, see Cronbach's alpha

Cumulative Distribution Plot
 PROC CUMULATIVE $Variable Variable$Filter Filter $Polygon TRUE | FALSE$Complementary TRUE | FALSE $PlotNormalCurve TRUE | FALSE$PlotAllPoints TRUE | FALSE

For details, see Cumulative frequency distribution

Deming regression
 PROC DEMING $VariableX Variable$VariableY Variable $ReplicateX Variable$ReplicateY Variable $Filter Filter$Subgroups Variable $CVx Real$CVy Real $Scatterdiagram TRUE | FALSE$ResidualsPlot TRUE | FALSE

For details, see Passing-Bablok regression

Dot plot
 PROC DOTPLOT $Variable Variable$Filter Filter $Bars TRUE | FALSE$MidLines TRUE | FALSE $MidMarkers TRUE | FALSE$ConnectingLines TRUE | FALSE $MeanOrMedian MEAN | MEDIAN$ErrorBarsMean NONE | MEANCI | 1SD | 2SD | 3SD | SEM | RANGE $ErrorBarsMedian NONE | MEDIANCI | PR50 | PR80 | PR90 | PR95 | PR98 | RANGE (*)$BoxWhisker TRUE | FALSE $Log TRUE | FALSE For details, see Dot plot (*) Note: PR50 is 50% percentile range (25-75 percentiles; Interquartile range); PR80 is 80% percentile range (10-90 percentile), etc. F-test - Variance ratio test  PROC FTEST$Variable1 Variable $Variable2 Variable$Filter1 Filter $Filter2 Filter$Log TRUE | FALSE

For details, see Variance ratio test (F-test)

Fisher's exact test
 PROC FISHER $Factor1 Variable$Factor2 Variable $Filter Filter For details, see Fisher's exact test Frequency charts  PROC FREQUENCYCHART$Factor1 Variable $Factor2 Variable$Filter Filter $FrequencyChartType NONE | SIMPLE | CLUSTERED | STACKED | 100%STACKED$RelativeFreq TRUE | FALSE $ReverseX TRUE | FALSE$ReverseY TRUE | FALSE $Horizontal TRUE | FALSE$SortByMagnitude TRUE | FALSE

For details, see Frequencies bar charts

Friedman test
 PROC FRIEDMAN $Covariates[1..24] Variable(s)$Filter Filter $Alpha Real For details, see Friedman test Function plot  PROC FUNCTIONPLOT$Functions[1..6] Functions $Xmin Real$Xmax Real $AutoY TRUE | FALSE$Ymin Real $Ymax Real For details, see Function plot Histogram  PROC HISTOGRAM$Variable Variable $Filter Filter$PlotNormalCurve TRUE | FALSE $Relative TRUE | FALSE$SecondaryY TRUE | FALSE

For details, see Histogram

Independent samples t-test
 PROC TTEST $Variable1 Variable$Variable2 Variable $Filter1 Filter$Filter2 Filter $Log TRUE | FALSE$CI Integer (%) $EqualVariance YES | NO | AUTO | BOTH$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE

For details, see Independent samples t-test

Inter-rater agreement (Kappa)
 PROC KAPPA $Factor1 Variable$Factor2 Variable $Filter Filter$KappaWeights NONE | LINEAR | QUADRATIC

For details, see Inter-rater agreement (kappa)

Intraclass correlation coefficient
 PROC INTRACLASSCC $Covariates[1..24] Variable(s)$Filter Filter $ICCModel RANDOM | FIXED$ICCType CONSISTENCY | AGREEMENT

For details, see Intraclass correlation coefficient

Kaplan-Meier survival analysis
 PROC KAPLANMEIER $Time Variable$EndPoint Variable $Factor Variable$Filter Filter $LinearTrend TRUE | FALSE$RMST TRUE | FALSE $RMSTtime Real$SurvivalGraph NONE | SURVIVAL | 100MINSURVIVAL $Include95CI TRUE | FALSE$MarkCensoredData TRUE | FALSE $NumberAtRiskTable TRUE | FALSE For details, see Kaplan-Meier survival curves Kruskal-Wallis test  PROC KRUSKALWALLIS$Variable Variable $Factor Variable$Filter Filter $KWPostHocTest CONOVER | DUNN$Alpha Real $Jonckheere TRUE | FALSE For details, see Kruskal-Wallis test Logistic Regression  PROC LOGISTICREGRESSION$Classifier Dichotomous variable $Covariates[1..24] Variable(s)$Filter Filter $SelectMethod ENTER | FORWARD | BACKWARD | STEPWISE$PEnter Real $PRemove Real$CuttOff Real $ProbabilityPlot TRUE | FALSE$PlotAllPoints TRUE | FALSE

For details, see Logistic regression

Mann-Whitney test (independent samples)
 PROC MANNWHITNEY $Variable1 Variable$Variable2 Variable $Filter1 Filter$Filter2 Filter

For details, see Mann-Whitney test (independent samples)

McNemar test
 PROC MCNEMAR $Factor1 Variable$Factor2 Variable $Filter Filter For details, see McNemar test Meta-analysis: area under ROC curve  PROC METAROCAREA$MetaStudies Variable $MetaEstimate Variable$MetaSE Variable $Filter Filter$ForestPlot TRUE | FALSE $RelativeMarkerSz TRUE | FALSE$WeightsModel FIXED | RANDOM $PlotPooledEffects NONE | FIXED | RANDOM | BOTH$Diamonds TRUE | FALSE $FunnelPlot TRUE | FALSE For details, see Meta-analysis: area under ROC curve Meta-analysis: continuous measure  PROC METACONTINUOUS$MetaStudies Variable $MetaN1 Variable$MetaMean1 Variable $MetaSD1 Variable$MetaN2 Variable $MetaMean2 Variable$MetaSD2 Variable $Filter Filter$ForestPlot TRUE | FALSE $RelativeMarkerSz TRUE | FALSE$WeightsModel FIXED | RANDOM $PlotPooledEffects NONE | FIXED | RANDOM | BOTH$Diamonds TRUE | FALSE $FunnelPlot TRUE | FALSE For details, see Meta-analysis: continuous measure Meta-analysis: correlation  PROC METACORRELATION$MetaStudies Variable $MetaN Variable$MetaEstimate Variable $Filter Filter$ForestPlot TRUE | FALSE $RelativeMarkerSz TRUE | FALSE$WeightsModel FIXED | RANDOM $PlotPooledEffects NONE | FIXED | RANDOM | BOTH$Diamonds TRUE | FALSE $FunnelPlot TRUE | FALSE For details, see Meta-analysis: correlation Meta-analysis: generic inverse variance method  PROC METAGENERIC$MetaStudies Variable $MetaEstimate Variable$MetaSE Variable $Filter Filter$Log TRUE | FALSE $ForestPlot TRUE | FALSE$RelativeMarkerSz TRUE | FALSE $WeightsModel FIXED | RANDOM$PlotPooledEffects NONE | FIXED | RANDOM | BOTH $Diamonds TRUE | FALSE$FunnelPlot TRUE | FALSE

For details, see Meta-analysis: generic inverse variance method

Meta-analysis: odds ratio
 PROC METAODDSRATIO $MetaStudies Variable$MetaN1 Variable $MetaPos1 Variable$MetaN2 Variable $MetaPos2 Variable$Filter Filter $ForestPlot TRUE | FALSE$RelativeMarkerSz TRUE | FALSE $WeightsModel FIXED | RANDOM$PlotPooledEffects NONE | FIXED | RANDOM | BOTH $Diamonds TRUE | FALSE$FunnelPlot TRUE | FALSE

For details, see Meta-analysis: odds ratio

Meta-analysis: proportion
 PROC METAPROPORTION $MetaStudies Variable$MetaN Variable $MetaPos Variable$Filter Filter $ForestPlot TRUE | FALSE$RelativeMarkerSz TRUE | FALSE $WeightsModel FIXED | RANDOM$PlotPooledEffects NONE | FIXED | RANDOM | BOTH $Diamonds TRUE | FALSE$FunnelPlot TRUE | FALSE

For details, see Meta-analysis: proportion

Meta-analysis: relative risk
 PROC METARELATIVERISK $MetaStudies Variable$MetaN1 Variable $MetaPos1 Variable$MetaN2 Variable $MetaPos2 Variable$Filter Filter $ForestPlot TRUE | FALSE$RelativeMarkerSz TRUE | FALSE $WeightsModel FIXED | RANDOM$PlotPooledEffects NONE | FIXED | RANDOM | BOTH $Diamonds TRUE | FALSE$FunnelPlot TRUE | FALSE

For details, see Meta-analysis: relative risk

Meta-analysis: risk difference
 PROC METARISKDIFFERENCE $MetaStudies Variable$MetaN1 Variable $MetaPos1 Variable$MetaN2 Variable $MetaPos2 Variable$Filter Filter $ForestPlot TRUE | FALSE$RelativeMarkerSz TRUE | FALSE $WeightsModel FIXED | RANDOM$PlotPooledEffects NONE | FIXED | RANDOM | BOTH $Diamonds TRUE | FALSE$FunnelPlot TRUE | FALSE

For details, see Meta-analysis: risk difference

Mountain Plot
 PROC MOUNTAINPLOT $Variable1 Variable$Variable2 Variable $Variable3 Variable$Filter Filter $PlotAllPoints TRUE | FALSE For details, see Mountain plot Multiple comparison graphs  PROC GRAPHMULTCOMP$Variable Variable $Factor Variable$Filter Filter $Bars TRUE | FALSE$MidLines TRUE | FALSE $MidMarkers TRUE | FALSE$ConnectingLines TRUE | FALSE $MeanOrMedian MEAN | MEDIAN$ErrorBarsMean NONE | MEANCI | 1SD | 2SD | 3SD | SEM | RANGE $ErrorBarsMedian$ErrorBarsMedian NONE | MEDIANCI | PR50 | PR80 | PR90 | PR95 | PR98 | RANGE (*) $BoxWhisker TRUE | FALSE$NotchedBW TRUE | FALSE $ViolinPlot TRUE | FALSE$PlotAllPoints TRUE | FALSE $Log TRUE | FALSE$ShowEmptyClasses TRUE | FALSE

For details, see Multiple comparison graphs

(*) Note: PR50 is 50% percentile range (25-75 percentiles; Interquartile range); PR80 is 80% percentile range (10-90 percentile), etc.

Multiple line graph
 PROC MULTILINEGRAPH $Covariates[1..6] Variables$Labels Variable $Filter Filter$Log TRUE | FALSE $CompleteCasesOnly TRUE | FALSE$PlotAllPoints TRUE | FALSE $TrendLine NONE | MOVINGAVG | LOESS | ISOTONIC$WindowWidth Integer $Span Integer (%) For details, see Multiple line graph Multiple variables graphs  PROC GRAPHMULTIVAR$Covariates[1..24] Variable(s) $Filter Filter$Bars TRUE | FALSE $MidLines TRUE | FALSE$MidMarkers TRUE | FALSE $ConnectingLines TRUE | FALSE$MeanOrMedian MEAN | MEDIAN $ErrorBarsMean NONE | MEANCI | 1SD | 2SD | 3SD | SEM | RANGE$ErrorBarsMedian $ErrorBarsMedian NONE | MEDIANCI | PR50 | PR80 | PR90 | PR95 | PR98 | RANGE (*)$BoxWhisker TRUE | FALSE $NotchedBW TRUE | FALSE$ViolinPlot TRUE | FALSE $PlotAllPoints TRUE | FALSE$DotAndLines TRUE | FALSE $Cumulative TRUE | FALSE$Log TRUE | FALSE $CompleteCasesOnly TRUE | FALSE For details, see Multiple variables graphs (*) Note: PR50 is 50% percentile range (25-75 percentiles; Interquartile range); PR80 is 80% percentile range (10-90 percentile), etc. Multiple Regression  PROC MULTIREGRESSION$VariableY Variable $Covariates[1..24] Variable(s)$Weights Variable $Filter Filter$SelectMethod ENTER | FORWARD | BACKWARD | STEPWISE $PEnter Real$PRemove Real $ReportVIF TRUE | FALSE$ZeroOrderCC TRUE | FALSE $NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE For details, see Multiple regression Normal plot  PROC NORMALPLOT$Variable Variable $Filter Filter$QQPlot TRUE | FALSE $NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE For details, see Normal plot One-sample t-test  PROC ONESAMPLETTEST$Variable Variable $Filter Filter$Log TRUE | FALSE $TestValue Real For details, see One sample t-test One-way ANOVA  PROC ANOVA$Variable Variable $Factor Variable$Filter Filter $Log TRUE | FALSE$PostHocTest SCHEFFE | TUKEYKRAMER | SNK $Alpha Real$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE

For details, see One-way analysis of variance

Outlier Detection
 PROC OUTLIERS $Variable Variable$Filter Filter $Log TRUE | FALSE$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE $Grubbs LEFT | RIGHT | DOUBLE | NO$OutliersAlpha 0.10 | 0.05 | 0.025 | 0.01 | 0.005 | 0.001 | 0.0005 | 0.0001 $GeneralizedESDtest TRUE | FALSE$MaxOutliers Integer $OutliersTukey TRUE | FALSE For details, see Outlier detection Paired samples t-test  PROC TTESTPAIRED$Variable1 Variable $Variable2 Variable$Filter Filter $Log TRUE | FALSE$CI Integer (%) $NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE For details, see Paired samples t-test Partial area under ROC curve  PROC PARTIALROC$Variable Variable $Classifier Dichotomous variable$Filter Filter $PartialInterval SENSITIVITY | SPECIFICITY$ValLow Real (0..100) $ValHigh Real (0..100)$Bootstrap TRUE | FALSE $BootstrapLoops Integer$RandomNrSeed Integer $ShowGraph TRUE | FALSE For details, see Partial area under ROC curve Partial Correlation  PROC PARTIALCORRELATION$VariableX Variable $VariableY Variable$Covariates[1..24] Variable(s) $Filter Filter$LogX TRUE | FALSE $LogY TRUE | FALSE For details, see Partial correlation Passing-Bablok regression  PROC PASSINGBABLOK$VariableX Variable $VariableY Variable$Filter Filter $Subgroups Variable$PerpendicularResiduals TRUE | FALSE $Spearman TRUE | FALSE$Scatterdiagram TRUE | FALSE $ResidualsPlot TRUE | FALSE$ResidualsByRank TRUE | FALSE $BootstrapCI TRUE | FALSE$BootstrapLoops Integer $RandomNrSeed Integer$BiasAtLevels TRUE | FALSE $Level1..$Level4 Real

For details, see Passing-Bablok regression

Polar plot
 PROC POLARPLOT $Radius Variable$Angle Variable $Filter Filter$AngleUnit RADIANS | DEGREES | PERCENTAGE $ClockWise TRUE | FALSE$ZeroAngle NORTH | EAST | SOUTH | WEST $ConnectPoints TRUE | FALSE For details, see Polar plot Precision-recall curve  PROC PRECISIONRECALL$Variable Variable $Classifier Dichotomous variable$Filter Filter $MarkPoints TRUE | FALSE For details, see Precision-recall curve Probit regression  PROC PROBITREGRESSION$ProbitBinaryData TRUE | FALSE $VariableX Dose variable For binary data$VariableY Response variable For grouped data $Variable2 Variable with total number of cases$Variable3 Variable with number of responses $Filter Filter$Log TRUE | FALSE $DoseResponsePlot TRUE | FALSE$PlotAllPoints TRUE | FALSE

For details, see Probit regression (Dose-Response analysis)

Rank Correlation
 PROC RANKCORRELATION $VariableX Variable$VariableY Variable $Filter Filter$RankCoefficients SPEARMAN | KENDALL | BOTH $BootstrapLoops Integer$RandomNrSeed Integer

For details, see Rank correlation

Reference interval
 PROC REFINTERVAL $Variable Variable$Filter Filter $Interval 90 | 95 | 99 | 99.9 | 99.99$IntervalSides DOUBLE | LEFT | RIGHT $RefIntervalOutlierTest NONE | REED | TUKEY$FollowCLSI TRUE | FALSE $RobustMethod TRUE | FALSE$Log TRUE | FALSE $BoxCoxTransform TRUE | FALSE$Lambda Real $Shift Real$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE $BootstrapLoops Integer$RandomNrSeed Integer $ShowGraph TRUE | FALSE For details, see Reference interval Regression  PROC REGRESSION$VariableX Variable $VariableY Variable$Weights Variable $Filter Filter$Subgroups Variable $ThroughOrigin TRUE | FALSE$RegressionModel LINEAR | LOGX | LOGY | LOGLOG | QUADRATIC $NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE For details, see Regression Relative risk and Odds ratio  PROC RELATIVERISK$Factor1 Variable $Factor2 Variable$Filter Filter $RelRisk TRUE | FALSE$NNT TRUE | FALSE $OddsRatio TRUE | FALSE For details, see Relative risk & Odds ratio Repeated Measures ANOVA  PROC REPEATED$Covariates[1..24] Variable(s) $Factor Variable$Filter Filter $Log TRUE | FALSE For details, see Repeated measures analysis of variance Responsiveness  PROC RESPONSIVENESS$Variable1 Variable $Variable2 Variable$Filter Filter $Paired TRUE | FALSE$FirstMinusSecond TRUE | FALSE $BootstrapLoops Integer$RandomNrSeed Integer

For details, see Responsiveness

ROC Curve analysis
 PROC ROC $Variable Variable$Classifier Dichotomous variable $Filter Filter$ROCMethod DELONG | HANLEY $BinomialCI TRUE | FALSE$PrevalenceRatio TRUE | FALSE $Prevalence Real (range 0..1)$CriterionList TRUE | FALSE $ListSensSpecCI TRUE | FALSE$ListLRatiosCI TRUE | FALSE $ListPredictCI TRUE | FALSE$BootstrapYouden TRUE | FALSE $ShowSummarytable TRUE | FALSE$BootstrapLoops Integer $RandomNrSeed Integer$CalcOptCutoff TRUE | FALSE $TPC Real$TNC Real $FPC Real$FNC Real $ShowGraph TRUE | FALSE$MarkPoints TRUE | FALSE $GraphCI TRUE | FALSE For details, see ROC analysis in MedCalc Scatter Diagram  PROC SCATTER$VariableX Variable $VariableY Variable$Filter Filter $Subgroups Variable$LogX TRUE | FALSE $LogY TRUE | FALSE$LineOfEquality TRUE | FALSE $HeatMap TRUE | FALSE$TrendLine NONE | MOVINGAVG | LOESS | REDUCEDMA | ISOTONIC $WindowWidth Integer$Span Integer (%)

For details, see Scatter diagram

Scatter diagram with regression line
 PROC REGRESSIONPLOT $VariableX Variable$VariableY Variable $Weights Variable$Filter Filter $ThroughOrigin TRUE | FALSE$RegressionModel LINEAR | LOGX | LOGY | LOGLOG | QUADRATIC $LineOfEquality TRUE | FALSE$HeatMap TRUE | FALSE $CICurves TRUE | FALSE$PICurves TRUE | FALSE $Subgroups Variable$SubgroupsPlot ALLCASES | SUBONLY | BOTH $ResidualsPlot TRUE | FALSE For details, see Scatter diagram & regression line Signed rank sum test  PROC SIGNEDRANKSUMTEST$Variable Variable $Filter Filter$TestValue Real

For details, see Signed rank sum test (one sample)

Summary Statistics
 PROC MEANS $Variable Variable$Filter Filter $Subgroups Variable$Log TRUE | FALSE $Percentiles {percentiles list}$Harmonicmean TRUE | FALSE $Geometricmean TRUE | FALSE$TrimmedMean TRUE | FALSE $TrimPercentage Real (%)$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE

For details, see Summary statistics

Trimmed means: Comparison of independent samples (Yuen-Welch test)
 PROC TRIMMEDMEANTEST $Variable1 Variable$Variable2 Variable $Filter1 Filter$Filter2 Filter $TrimPercentage Real (%)$CI Integer (%)

For details, see Yuen-Welch test

Trimmed means: Paired samples test
 PROC PAIREDTRIMMEDMEANTEST $Variable1 Variable$Variable2 Variable $Filter Filter$TrimPercentage Real (%) $CI Integer (%) For details, see Trimmed means: Paired samples test Two-way ANOVA  PROC 2WAYANOVA$Variable Variable $Factor1 Variable$Factor2 Variable $Filter Filter$NormalityTest KOLSMIR | DAGPEAR | SHAPWILK | SHAPFRANC | CHISQ | NONE

For details, see Two-way analysis of variance

Waterfall chart
 PROC WATERFALLCHART $Variable Variable$Groups Group variable $Filter Filter$ShowCaseNumbers TRUE | FALSE $WaterfallHorizontal TRUE | FALSE$WaterfallSort DESCENDING | ASCENDING | NOSORT

For details, see Waterfall chart

Wilcoxon test (paired samples)
 PROC WILCOXON $Variable1 Variable$Variable2 Variable \$Filter Filter

For details, see Wilcoxon test (paired samples)