The MULTTEST Procedure

Statistical procedures use ODS Graphics to create graphs as part of their output. ODS Graphics is described in detail in Chapter 24, Statistical Graphics Using ODS.

Before you create graphs, ODS Graphics must be enabled (for example, by specifying the ODS GRAPHICS ON statement). For more information about enabling and disabling ODS Graphics, see the section Enabling and Disabling ODS Graphics in Chapter 24, Statistical Graphics Using ODS.

The overall appearance of graphs is controlled by ODS styles. Styles and other aspects of using ODS Graphics are discussed in the section A Primer on ODS Statistical Graphics in Chapter 24, Statistical Graphics Using ODS.

You must also specify the options in the PROC MULTTEST statement that are indicated in Table 4.

PROC MULTTEST assigns a name to each graph it creates using ODS. You can use these names to reference the graphs when using ODS. The names are listed in Table 4.

Table 4: Graphs Produced by PROC MULTTEST

ODS Graph Name		Plot Description	Option
AdjPlots		Panel of adjusted p-value plots	PLOTS=ADJUSTED
	AdjByRawRank	Adjusted by rank of raw p-values	PLOTS=ADJUSTED(UNPACK)
	AdjbyRawP	Adjusted by raw p-values	PLOTS=ADJUSTED(UNPACK)
	AdjBySignificant	Proportion significant by adjusted	PLOTS=ADJUSTED(UNPACK)
	FalsePosBySignificant	Expected number of false positives by proportion significant	PLOTS=ADJUSTED(UNPACK)
PByTest		p-values by test	PLOTS=PBYTEST
LambdaPlot		MSE or NTRUENULL by lambda	PLOTS=LAMBDA and (NTRUENULL=BOOTSTRAP or NTRUENULL=SPLINE or PFDR)
ManhattanPlots		–log(adjusted p-values) by test	PLOTS=MANHATTAN
RawUniformPlot		Raw p-values by rank and histogram	PLOTS=RAWPROB or AHOLM or AHOC or AFDR or PFDR
	RawUniformPlot	Raw p-values by rank	PLOTS=RAWPROB(UNPACK) and AHOLM or AHOC or AFDR or PFDR
	RawUniformHist	Histogram of raw p-values with kernel density	PLOTS=RAWPROB(UNPACK) and AHOLM or AHOC or AFDR or PFDR