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can I use ANOVA to compare number of days of asthma attacks per month followed for six months between two groups (group 1 and group 2). so we have a 2x6 table in rows we have the months (1st, 2nd, 3rd, .....sixth) and in column there are the groups (group 1 and group 2). each cell contain the total number of attacks of asthma per month (please see the attached table table

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    $\begingroup$ One problem is that the assumption of independence would not seem to be tenable. Secondly "days of asthma attacks" sounds like counts (each member of each group presumably having a 0/1 outcome on each day), which implies equality of variance is unlikely and by the look og it, you also have a problem with 0's (Red Zone/AAIG), so I don't think you can treat it as homoskedastic or normally distributed. $\endgroup$
    – Glen_b
    Commented Jan 22, 2016 at 9:52

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Expanding on @glenb 's excellent comments:

1) Independence: It seems like you have the same people measured over multiple months. That would violate independence because the number of attacks that a person has in month 2 is related to the number he/she had in month 1.

2) Number of attacks is a count. You can't have 1/2 an attack or negative attacks. This isn't much of an issue when the number of attacks is large and varied, but it's a problem for the red zone.

3) 0's. Glen is right again that you have a problem here.

So, my answer is "no" and my suggestion is that you should probably use a nonlinear multilevel model with a zero inflated link (either Poisson or negative binomial).

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  • $\begingroup$ thanks so much for your insight answer. could you please tell me how can I use a nonlinear multilevel model with a zero inflated link (either Poisson or negative binomial). to test the difference between the two study groups over the six months? $\endgroup$ Commented Jan 23, 2016 at 13:54
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    $\begingroup$ You would need a course or an entire text to learn those. $\endgroup$
    – Peter Flom
    Commented Jan 23, 2016 at 15:44

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