The MI Procedure

Examples

The following FitMono data set has a monotone missing data pattern and is used in Example 9.2 with the propensity score method and in Example 9.3 with the regression method. The FitMiss data set created in the "Getting Started" section is used in other examples. Note that the original data set has been altered for these examples.

*----------------- Data on Physical Fitness -----------------*
| These measurements were made on men involved in a physical |
| fitness course at N.C. State University.                   |
| Only selected variables of                                 |
| Oxygen (oxygen intake, ml per kg body weight per minute),  |
| Runtime (time to run 1.5 miles in minutes), and            |
| RunPulse (heart rate while running) are used.              |
| Certain values were changed to missing for the analysis.   |
*------------------------------------------------------------*;
   data FitMono;
      input Oxygen RunTime RunPulse @@;
      datalines;
   44.609  11.37  178     45.313  10.07  185  
   54.297   8.65  156     59.571    .      .  
   49.874   9.22    .     44.811  11.63  176  
   45.681  11.95  176     49.091  10.85    .  
   39.442  13.08  174     60.055   8.63  170  
   50.541    .      .     37.388  14.03  186  
   44.754  11.12  176     47.273    .      .  
   51.855  10.33  166     49.156   8.95  180  
   40.836  10.95  168     46.672  10.00    .  
   46.774  10.25    .     50.388  10.08  168  
   39.407  12.63  174     46.080  11.17  156  
   45.441   9.63  164     54.625   8.92  146  
   45.118  11.08    .     39.203  12.88  168  
   45.790  10.47  186     50.545   9.93  148  
   48.673   9.40  186     47.920  11.50  170  
   47.467  10.50  170  
   ;

Example 9.1: EM Algorithm for MLE

Example 9.2: Propensity Score Method

Example 9.3: Regression Method

Example 9.4: MCMC Method

Example 9.5: Producing Monotone Missingness with MCMC

Example 9.6: Checking Convergence in MCMC

Example 9.7: Transformation to Normality

Example 9.8: Saving and Using Parameters for MCMC

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