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  1. #1
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    roc analysis in spss




    Hello,

    I am analyzing some data from 2 diagnostic tests and I want to do a ROC analysis in SPSS. However I don't have any experience with this, so please correct me if I'm doing something wrong.

    TEST A (GOLD STANDAARD)

    score range: 0 - 10
    outcome: healty or not healty
    healty patients (=pts) = cut off score ≤ 2
    not healty pts = score >2

    I want to evaluate the performance (predictive value, optimal cut off, sensitivity, specificity) of test B to distinguish healty from not-healty pts, this compared to TEST A.

    TEST B --> score range: 0 - 15

    DATASET:
    TEST A (GOLD STANDAARD): continuous data
    TEST B: continuous data

    ANALYSIS in SPSS 17:

    For ROC analysis I GUESS () I have to transform the data for TEST A to a dichotomous outcome. right??
    --> healty= 0 ; not-healty= 1

    SPSS:

    ANALYZE --> ROC CURVE
    TEST VARIABLE: results from TEST B (continuous data)
    STATE VARIABLE: results from TEST A (dichotomous data)
    VALUE OF STATE VARIABLE: 1 (don't understand this 100%, but I want to know who's not healty so 1)


    Do you think this is correct?
    Are there other things I have to consider?


    Thank you for your time.

  2. #2
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    Red face correct


    Hello,

    2e question:

    I computed the data: spss gives me sensitivity and 1-specificity results for different cut off values for Test B.
    These cut off values are 1.5 , 2.5 , 3.5 ...

    How can I get results for cut off values 2 , 3 , 4 ...


    I think my post should be under 'Epidemiology and Biostatistics'. My fault.
    Last edited by noob; 08-18-2010 at 04:55 PM.

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