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  • 1.  Propensity Score Matching

    Posted Sat March 05, 2022 06:36 PM
    Hi everyone!

    I have a dataset that includes 3 cohorts that I would like to compare so I can determine if outcomes between them are statistically sig. different. i.e. Cohort A has a sig. higher wound complication than cohort B and Cohort C. 

    So first... I need to create a propensity score match so I'm making sure I'm comparing similar individuals within each cohort. I go to Data -> Propensity score matching. Now I need help.. 

    Group indicator tells me this is where I distinguish cases (value of 1) and controls (value of 0)... so does this mean I cannot compare 3 cohorts at a time? 

    Predictors: These would be the variables that are used to match individuals in each cohort group correct?

    Case ID: States this is the variable used to identify the matched case... not sure what this means? Should I be creating a new variable column for the results of propensity score to go into? 

    Thanks so much for any help! If I cannot run this propensity score matching for 3 cohorts - any suggestions? Sounds like I may need to run a multivariate logistic regression. 

    Cindy

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    Cindy Gombaut
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    #SPSSStatistics


  • 2.  RE: Propensity Score Matching

    Posted Sat March 05, 2022 07:11 PM
    PSM always generates a control case for each of the cases (in the other sense of the word) if possible, but you can analyze pairs separately by selecting the two groups to compare with SELECT IF or equivalent before running this procedure.  Note that the variable that distinguishes cases from controls must have values of zero or one.  A variable value of one indicates a case, and a value of zero indicates a control.

    Yes, the predictors are as you describe.

    The case ID is just an ordinary id for a case.  It is useful to have that in order to see the control a case was matched to.

    The Case-Control Matching dialog has some additional options, but it still expects two groups.

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