From | Randall Burd <[email protected]> |
To | [email protected] |
Subject | st: Post-estimation regression-survey |
Date | Mon, 08 Aug 2005 15:38:19 -0400 |
I am working with survey data. I am looking at the frequency of a procedure
in each year from 1996 to 2003. Using basic survey commands I obtain:
svytotal dischgs, subpop(dischgs) by( year)
pweight:
discwt
Number of obs =
8101
Strata: fixemstr Number of strata = 53 PSU: fixempsu Number of PSUs = 450 Subpop.: dischgs Population size = 39466.646 ------------------------------------------------------------------------------
Total Subpop. | Estimate Std. Err. [95% Conf. Interval] Deff ---------------+-------------------------------------------------------------- dischgs | year==1996 | 3435.294 546.9666 2359.981 4510.607 19.57772 year==1997 | 3829.646 603.5231 2643.146 5016.147 21.61788 year==1998 | 3648.96 727.7667 2218.202 5079.718 32.82485 year==1999 | 7143.03 1204.972 4774.107 9511.954 50.93736 year==2000 | 4941.163 1032.757 2910.807 6971.52 50.64219 year==2001 | 4907.347 1026.106 2890.067 6924.626 50.2872 year==2002 | 3898.941 716.5405 2490.253 5307.629 29.98914 year==2003 | 7662.265 1403.643 4902.762 10421.77 65.4869 ------------------------------------------------------------------------------ I know the census population from which the samples were drawn from in each
year:
1996 100 million
1997 102 million
1998 103 million
...
2003 107 million
I have gotten advice from Stata before about know how to compare the
population frequency of discharges in a pairwise fashion:
test ([dischgs]1996)/100000000=([dischgs]1997)/102000000
test ([dischgs]1996)/100000000=([dischgs]1998)/103000000
etc.
I would now like to ask the question: has there been an increase in the
population frequency of 'dischgs' from 1996 to 2003? Perhaps this can be stated
as 'was there a linear increase in the population frequency of 'dischgs'.
Thanks.
Randy
Randall S. Burd, M.D., Ph.D.
Division of Pediatric Surgery, Department of Surgery Box 19, 1 RWJ Place Robert Wood Johnson Medical School New Brunswick, NJ 08903 732-235-7821 |
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