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Re: st: Problem with variables in glamm


From   Nick Cox <njcoxstata@gmail.com>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Problem with variables in glamm
Date   Mon, 7 Oct 2013 14:02:33 +0100

I support the request for the actual syntax used. With 276 cases I
doubt you will get good results for more than a few predictors.

Logit link for continuous proportion as a response is a perfectly
respectable model. It's just that -gllamm- (SSC) doesn't support it.
-glm- would appear sufficient here.

I don't understand how Alice gets problem #2 as problem #1 implies
failure of the command any way.

Nick
njcoxstata@gmail.com


On 7 October 2013 13:30, William Buchanan <william@williambuchanan.net> wrote:

> If your dependent variable is binary (like it is implied by the info you provide), then the only values it should take are 0 & 1.  Beyond that it isn't exactly clear what your specific problem is. You should also include the _exact_ syntax you enter and the exact message/output provided by Stata.


On Oct 7, 2013, at 6:53, "Alice Dalton (MED)" <A.Dalton@uea.ac.uk> wrote:

>> I'm having a problem with the gllamm program (family(binomial) link(logit)).
>>
>> 1. My dependant variable (a proportion) will only work if the variable contains a zero, otherwise I get an r(2000) (no observations) error
>>
>> 2. Adding binary explanatory variables (eg a health variable where 1 excellent, 0 not excellent) results in the message 'variables have been dropped, can't continue' and an r(198) error. The null model works; the null model works with continuous variables added in; the null model plus one or more binary variables fails.
>>
>> The command I am using is     gllamm  [depvar] [varlist], i(ParticipantId) family(binomial) link(logit). I have 276 cases and 129 variables (not all of which are added to the model).
>>
>> If anyone with experience of gllamm has an idea of what is happening here, I would be most grateful to hear it.
>>

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