Documentation Example 19 for PROC MI

This SAS^© script uses PROC MI to analyze missing data patterns and configure a multiple imputation process on the `sashelp.heart` dataset. It also includes a PROC PRINT to display the first 10 observations of the dataset. The ODS system is configured to select specific outputs and enable graphics. The MI procedure is configured for the 'flux' model with `nimpute=0`, a pattern display without means, and all character variables are defined as class variables.

Data Analysis

Type : SASHELP

The script uses the internal `sashelp.heart` dataset from the SASHELP library.

1 Code Block

PROC PRINT

Explanation :
This block uses PROC PRINT to display the first 10 observations of the `sashelp.heart` dataset. This allows for a quick check of the data structure and content before the imputation analysis.

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1	PROC PRINT DATA=sashelp.heart(obs=10);
2	RUN;

2 Code Block

ODS

Explanation :
This block configures the Output Delivery System (ODS). It selects specific output objects (`MissPattern`, `Flux`, `FluxPlot`, `Corr`) that will be generated by the MI procedure, and enables ODS graphics, allowing for the creation of visualizations thereafter.

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1	ods select MissPattern Flux FluxPlot Corr;
2	ods graphics on;
3

3 Code Block

PROC MI

Explanation :
This block executes the multiple imputation procedure (PROC MI). It is applied to the `sashelp.heart` dataset. The options `simple flux nimpute=0 displaypattern=nomeans` are used to analyze missing data patterns (`simple`), specify the flux imputation method (`flux`), but without generating imputations (`nimpute=0`), and display the missing data pattern without means (`displaypattern=nomeans`). `class _character_` declares all character variables as class variables, `var _all_` includes all variables in the analysis, and `fcs` specifies the use of the 'Fully Conditional Specification' method for imputation.

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1	PROC MI DATA=sashelp.heart SIMPLE flux nimpute=0
2	displaypattern=nomeans;
3	class _character_;
4	var _all_;
5	fcs;
6	RUN;

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