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st: Variable estimates from GLST metaregression of observational studies


From   "G Livesey" <glivesey@inlogic.co.uk>
To   <statalist@hsphsun2.harvard.edu>, <nicola.orsini@ki.se>
Subject   st: Variable estimates from GLST metaregression of observational studies
Date   Thu, 7 May 2009 16:19:49 +0100

Dear Nicola and Statalisters,

I am getting different estimates each time I run a glst command on the same
dataset in Stata and would be glad of suggestions of how to resolve the
problem.

The glst command is used here to estimate the dose-dependency of effect in
observational or relative risk data. 

The command and syntax, and extract from a dataset in use are shown below.

I am using Stata v9.2, an up-to-date version of glst and the log data
(ln_rr_m  and corresponding errors se_glst) were obtained with gen double.

I would very much appreciate help with this crucial problem.

With thanks, 
Geoff. Livesey


COMMAND AND SYNTAX:
glst ln_rr_m dosage if  collect_c==1, se(se_glst) cov(person_y case)
pfirst(study_id studyexpression) random 


DATA:
   ln_rr_m   dosage  collec~c  se_glst  person_y case study_id study_e
         0         0      1          0    39637    281       3     2
 -.0725707  1.330824      1  .09000712    40218    265       3     2
 -.1278334  2.439844      1  .09273151    40621    241       3     2
 -.2613648  4.103374      1  .09935509    40956    198       3     2
 -.4462871  7.430433      1  .10182739    41222    156       3     2

         0         0      1          0   145258    219       7     2
 -.1625189  1.212121      1  .10710753   141933    162       7     2
 -.1392621  2.203856      1  .11429413   139945    151       7     2
 -.198451   3.636364      1  .11990109   146011    132       7     2
 -.4462871  7.493112      1  .14876455   143153     77       7     2

         0         0      1          0    34750    204       8     2
 -.1508229  2.187076      1  .10585496    35154    164       8     2
 -.0618754  3.827383      1  .10787362    35196    172       8     2
 -.1625189  5.649946      1  .11324987    35488    156       8     2
 -.328504   9.112817      1  .12940233    35529    148       8     2

         0         0      1          0    23988    456       9     2
 -.0943106  1.14482       1  .07583086    25050    381       9     2
 -.1165338  2.289639      1  .08001615    24227    357       9     2
 -.1863296  3.663423      1  .03711996    26115    386       9     2 








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