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Thread: p-value for logistic regression

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    p-value for logistic regression




    How do I find the p-value for logistic regression. For example , for a glm output I :

    z -value : 1.32 P ( > | Z | ) = 0.186696

    If it were a normal regression would do : 2 ( 1 - P ( < | Z | ) = 2 (1-0.4066) = ???

    The t-value = Estimate/ Std.Error...but P(>|t|) i don't understand.

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    Re: p-value for logistic regression

    The p-value is .186696. That is already giving you the p-value for the two sided test.

    If you did what you're suggesting for the output for the normal regression you're going to get something that is 1) wrong and 2) nonsensical (you can't have a p-value greater than 1).
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    noetsi (06-27-2016)

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    Re: p-value for logistic regression

    I understand it's STUPID BUT I WANT TO UNDERSTAND how to calculate it.

    In some exercise it's proposed the output in this way:


    Estimate Std.Error z value Pr(>|Z|)

    X 0.28143 0.21314 1.320 ???

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    Re: p-value for logistic regression


    Why would you want to understand how to calculate something that is wrong?
    "Very few theories have been abandoned because they were found to be invalid on the basis of empirical evidence...." Spanos, 1995

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