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  • alternatives to oneway

    Hello,
    I have a variable go_score, and I would like to test whether there is a trend (ie, whether it is higher or lower with increasing age, when age is split into intervals of 5 years).

    I conducted a oneway (oneway goscore age_5int) but I believe this test assesses the null hypothesis that there is no difference between groups.

    I would like to instead test for trend. I don't want to do a linear regression at this point; are there any other ways of going about doing this? Some type of chi square test of trend? I dont know the test for this; can anybody help?

    Thanks




  • #2
    There is a good text about it here.

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    • #3
      Alan:
      by categorizing age and avoiding -regress- you miss the chance of investigating whether a quadratic relationship exists between -c.age##c.age- and -goscore- when adjusted for the remaining predictors.
      Please also note that, in general, dichotomizing a continuos predictor in a regression model is not recommended (https://www.ncbi.nlm.nih.gov/pubmed/16217841).
      Kind regards,
      Carlo
      (Stata 19.0)

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