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    outcomes of surgery




    Can someone point me into the right direction

    I have a database of patients who have had surgery which is deemed a success or not(0,1).

    Each patient has a number of variables under interest
    before or after a date (1,2)
    one of 4 types of procedure ( 1,2,3,4)
    grade of surgeon ( 1,2,3)

    all of which may or may not impact on the success of surgery.

    ontop of this I am looking at how long each operation took (continous data) - and whether or not there is a corelation between the time it took and the variables above.

    I think I am looking at doing a linear regression but not sure

    please can anyone point me in the right direction

    Thanks

    ed
    Last edited by edmundfitz; 02-23-2015 at 06:05 PM.

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    Re: outcomes of surgery

    If your dependent variable is 1 or 0, then you are likely looking at multiple logistic regression. What is your sample size and what percent had a successful surgery?
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    edmundfitz (02-24-2015)

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    Re: outcomes of surgery

    Quote Originally Posted by hlsmith View Post
    If your dependent variable is 1 or 0, then you are likely looking at multiple logistic regression. What is your sample size and what percent had a successful surgery?
    Hi -

    there are 2 separate outcomes - success or failure ( 0,1)

    and time for operation ( continous data ) 30 to 560 mins

    the sample size is 1210
    success is around 90% failure is 10%

    i thought that you cant use a multiple logistic regression with a continous data outcome ?

    Thanks

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    Re: outcomes of surgery


    So you have got 2 analyses, one multiple logistic regression (success),
    and one multiple linear regression (time) (or, ANOVA with 3 factors).
    I would assume that perhaps a logarithmic transformation of "time"
    could improve model fit.

    With kind regards

    K.

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    edmundfitz (02-27-2015)

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