[R] Chi square value of anova(binomialglmnull, binomglmmod, test="Chisq")
peter dalgaard
pdalgd at gmail.com
Wed Jun 6 16:36:16 CEST 2012
On Jun 6, 2012, at 10:59 , lincoln wrote:
>
> David Winsemius wrote
>>
>> This is making me think you really have multiple observation on the
>> same individuals (and that persons make transitions from one state to
>> another as a result of the passage of time. That needs a more complex
>> analysis than "simple" logistic regression. You might consider posting
>> a more complete description of the study on the SIG Mixed Effects
>> mailing list.
>>
>> --
>> David.
>>
>
> No, I haven't. Individuals are birds marked with an unique alphanumeric code
> that gives me information on their gender (sometimes I have this data
> sometime I haven't), and their birth date (as a consequence also the age).
> There are no multiple observations of the same individual.
>
> Anyway, I believe I have not been answered to the main question: when using
> anova with test "Chisq" between two models, is the difference in deviance
> between the two models interpretable as the Chi Square value and the
> difference in df interpretable as the df of the Chi square test?
>
> For instance, given:
>
>> anova(mod4,update(mod4,~.-cohort),test="Chisq")
> Analysis of Deviance Table
>
> Model 1: site ~ cohort
> Model 2: site ~ 1
> Resid. Df Resid. Dev Df Deviance P(>|Chi|)
> 1 993 1283.7
> 2 1002 1368.2 -9 -84.554 2.002e-14 ***
> ---
> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
> Is 84.554 taken as the Chi square value, 9 as the df of the test and the
> p-value depending on these two values?
That's the general mechanism, yes. (Whether the chi-square distribution holds after variable selection is a more difficult issue. Frank Harrell might chime in and remind us that there are books on that subject.)
--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk Priv: PDalgd at gmail.com
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