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Re: st: gllamm syntax


From   "Mary E. Mackesy-Amiti" <[email protected]>
To   [email protected]
Subject   Re: st: gllamm syntax
Date   Wed, 03 Nov 2010 11:13:37 -0500

On 11/1/2010 5:14 PM, Shubhabrata Mukherjee wrote:
Hi,

    I am trying to run gllamm for a 3-level nested model (patients nested within
doctors within clinics). I have 4 patient level covariates (gender, age, race
and education)&  1 doctor level covariate (specialty). I am not sure about the
correct syntax for running a random coefficient model. Can anyone take a look
and point me to the right syntax. Here's what I used which is wrong.

***********

gen byte one = 1
eq cons : one
eq gen  : new_gen
eq race : new_race
eq educ : edulvl
eq age  : age1

gllamm zeta1 new_gen age1 edulvl new_race specialty, i(docid clinicid) nrf(1 8)
///
eqs(cons cons new_gen cons new_race cons edulvl cons age1)

*****
I get the following error message:

equation new_gen not found
r(111);

*****

1.  equation new_gen is not found because the equation name is "gen"

2.  As I understand it,

gllamm zeta1 new_gen age1 edulvl new_race specialty, i(docid clinicid) nrf(1 5) ///
    eqs(cons cons gen race educ age)

would specify a 3-level model with random intercept at the doc level and random intercept & random slopes on gender, race, education and age at the clinic level (is this is what you want?)

If I want to enter a random effect (intercept and slope) for doctor specialty,
what will be the modification. Also is there a way to make it run faster using
the `nip' command?



eq cons : one
eq spec : specialty
gllamm zeta1 new_gen age1 edulvl new_race specialty, i(docid clinicid) nrf(2 1) ///
    eqs(cons spec cons)

would specify a model with fixed effects for patient variables, random intercept and random slope on specialty at the doc level, and random intercept at the clinic level.

3. I believe nip() is used to increase the number of integration points for better precision

4.  equivalently,

xtmixed zeta1 new_gen age1 edulvl new_race specialty || clinicid: || docid: specialty




--
Mary Ellen Mackesy-Amiti, Ph.D.
Research Assistant Professor
Community Outreach Intervention Projects (COIP)
School of Public Health m/c 923
Division of Epidemiology and Biostatistics
University of Illinois at Chicago
ph. 312-355-4892
fax: 312-996-1450

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