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Thread: Discretization of a continuous variable

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    Discretization of a continuous variable




    He guys,

    I'm analyzing a research regarding patients and their risk factors for developing a certain side effect.
    If i enter age as a continous variable into forward stepwise logistic regression - sex and the diagnosis of the patient have significant OR's , age is not included.
    However, if i say, i believe children will have more side effects, so i discretize the age variable into <16 and >16 years nominal variable called kids. when instering this variable instead of age into the stepwise logistic regression it's significant and have an amazing OR.

    How can this be? I could have chosen any random age, and try it out...
    What is the real result?

    A detailed explanation of this difference will be very appreciated.

  2. #2
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    Re: Discretization of a continuous variable


    you have posted this twice, into different forums. where do you actually want to discuss this?

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