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    How do I analyse a set of clinical data that has a variable number of measurements pe




    How do I analyse a set of clinical data that has a variable number of measurements per patient?‏

    Thanks in advance for any help you can offer. I'm a PhD student and have just finished recruiting for an observational clinical study.

    Basically, I have recruited 100 patients and performed imaging of their coronary arteries. The measurements of the coronary arteries (e.g. diameter of vessel, whether a rupture was present or not etc) are the dependent variables that I am interested in. However, not every patient could have imaging of all 4 coronary arteries (LMS, LAD, Cx, RCA) due to technical difficulties with the technology.

    This has led to a mismatch in my data. Each patient has a different number of variables depending on how many arteries were imaged. However, their baseline demographics (age, sex etc) and follow up data (whether they died or not etc) is all measured at a patient-level i.e. they have one dependent variable per patient.

    I would like to present my results in several ways e.g. is age associated with plaque measurements?, is gender associated with plaque measurements?, do plaque measurements predict adverse outcomes at 1 year? I have tried adding all the continuous plaque measurements together for each patient and just analysing the average, but this seems to lose the fidelity of the data. In addition, I can't do the same for the categorical measurements.

    Is there a way of accounting for these differences in measurements statistically? I'm using SPSS.

    I've shared an example of my data below. Thanks!
    Attached Files

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