Recent content by snowglas

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    Test for three categorical variables - ANOVA? Which?

    Hi, perhaps I wasn't asking the right question, and had confused some of the ANOVA derivatives - I can't really edit title of the post anymore - but for the record, the Chi2 tests for Groups A and B are both p <0.0001 (from my data, not the example above) However, this only tells me that the...
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    Test for three categorical variables - ANOVA? Which?

    Thank you! I heard a variation of ANOVA could be uses for categorical variables, but couldn't figure out how. I actually can't figure out how to draw a contingency table for Chi square/Fisher's, seeing as I have two independent variables and one dependent. I can do separate Chi2 tests for...
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    Test for three categorical variables - ANOVA? Which?

    Hi there, I am trying to test the significance of the difference of the difference between two groups (A and B), each defined by two categorical variables, if that makes sense. For example, I am doing research on black and white patients admitted to a hospital for appendicitis, further...
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    Forest Plot with extreme confidence intervals - how to display

    It's just occurred to me to use a logarithmic scale... but I think the CI will still be insanely big.
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    Forest Plot with extreme confidence intervals - how to display

    Hi there, I hope this is the right forum for this! I ran a binary regression model in R separately. One of the variables is categorical for Procedures, with four categories (Surgical, Endocopic, Medical, Conservative). For the Conservative group, essentially the Coefficient approaches null...
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    Alternative to Fisher's Exact for larger than 2x2 contingencies with expected value <6 in >20% of cells

    Hi there, Does anyone have any suggested solutions to the above question? I have a large 2x8 contingency, which unfortunately has 4 cells with an expected value of less than 5, and therefore can't use a Pearson Chi sq test. I tried to use the Fisher's test with a Freeman-Halton extension in...
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    How to interpret Lilliefors test?

    Thanks Karabiner! How is it not useful? I'm analysing many subgroups, but at least 400 in each, and each group has a different distribution pattern - a few are bimodal, a few others are slightly skewed, and at least one doesn't seem to have a pattern, so I'm trying to objectively determine...
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    How to interpret Lilliefors test?

    Hi everyone, I'm doing a study on about 2000+ participants, and would like to test for normality of some continuous variables (I know from the histogram my age distribution is bimodal). I applied the Lilliefors test in R and got a p-value of <0.0001, but I'm rather confused about how to...