LEC7 - An Example of Building a Prediction Model Using the...

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SECTION 1 INTRODUCTION. .................................................................................................. 3 SECTION 2 ILLUSTRATIVE EXAMPLE . .............................................................................. 3 D ATA ........................................................................................................................................... 3 P URPOSE OF THE S TUDY ............................................................................................................... 4 C OMPLETE D IAGRAM ................................................................................................................... 4 S TEP 1: D ATA S OURCE N ODE ....................................................................................................... 4 S TEP 2: F IXING D ATA P ROBLEMS WITH SAS C ODE N ODE ........................................................... 5 S TEP 3: U SING THE I MPUTE N ODE TO I MPUTE V ARIABLES WITH S MALL A MOUNT OF M ISSING V ALUES ....................................................................................................................................... 8 S TEP 4: C REATING M ISSING V ALUE S I NDICATOR WITH SAS C ODE N ODE ................................. 10 S TEP 5: C REATING MVPVARIABLE WITH SAS C ODE N ODE .................................................. 11 S TEP 6: R EDUCING THE N UMBER OF L EVELS AND I MPUTING M ISSING V ALUES FOR C ATEGORICAL V ARIABLES WITH SAS C ODE N ODE ................................................................... 12 S TEP 7: I MPUTE N UMERICAL V ARIABLES WITH C LUSTER N ODE ................................................ 15 S TEP 8: D ROPPING U NWANTED V ARIABLES WITH D ROP N ODE .................................................. 16 S TEP 9: U PDATING M ODEL R OLE AND M EASUREMENT L EVEL WITH M ETADATA N ODE ............ 17 S TEP 10: F ITTING A P REDICT M ODEL WITH R EGRESSION N ODE ................................................ 19 S TEP 11: U NDERSTANDING THE RESULTS AND SELECTING THE CUT OFF PROBABILITY ............... 22 S TEP 12: P ERFORMING O VER S AMPLING WITH S AMPLE N ODE ................................................... 26 S TEP 13: R EFINING P REDICT M ODEL WITH R EGRESSION N ODE ................................................. 29 S TEP 14: U NDERSTANDING R EGRESSION R ESULTS .................................................................... 30 S TEP 15: C OMMUNICATING R ESULTS TO A G ENERAL A UDIENCE ............................................... 32 APPENDIX 1 SAS CODE FOR FIXING DATA PROBLEM. ............................................... 38 APPENDIX 2 SAS CODE FOR MISSING VALUE INDICATOR . ...................................... 39 APPENDIX 3 SAS CODE FOR MISSING VALUE PATTERN . .......................................... 40 APPENDIX 4 SAS CODE FOR CATEGORICAL VARIABLE LEVEL REDUCTION AND MISSING VALUE IMPUTATION . ................................................................................ 41
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LEC7 - An Example of Building a Prediction Model Using the...

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