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    Comparing the outcome of two contingency tables




    Hi all,

    I have a data set for two different days. The treatments and outcomes are same but the assays were performed on two different days. I would like to understand if the results are showing a likelihood.
    I am using the website below to get the G2 value.
    http://vassarstats.net/log.html

    Is there any suggestion to get more info on comparing two contingency tables?

    Best,

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    Re: Comparing the outcome of two contingency tables

    Modeling of cross-tabulations is typically done using log-linear models, which is what the link you showed refered to. There are many books on that topic, so a visit to the library is probably a good idea. I recently gave a presentation on this: http://maartenbuis.nl/presentations/london15b.pdf , which may or may not help.

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    Re: Comparing the outcome of two contingency tables

    So were treatments randomized and did a person just get one treatment then you recorded the pre post assay values. Provide a little more information, since your description is vague enough that I do not know if you have paired data or not.
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    Re: Comparing the outcome of two contingency tables

    Hi there,

    One person got only one treatment. In detail, the elements of the first contingency table did not contribute to anything in the second one. I might use a z-score based statistics to compare the odds ratio?

    Best and thanks,

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    Re: Comparing the outcome of two contingency tables


    If you have an exposure and outcome (single contingency table) and want to stratify data by another categorical variable (make more than one contingency table) and compare say ORs, there are two typical approaches:Mantel Haenzel or multiple logistic regression.
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