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Re: st: crude binary analysis
Sahid-
You asked for a version of a survey program which would match the
results in -tabodd-. -tabodd- has no line with a "reference group"
and an entry of 1. Nor does it give odds ratios (OR's) as I stated
in my email. So, exactly what question did you mean to ask?
-Steve
On Aug 24, 2008, at 2:46 PM, Sahid Hocine wrote:
Thanks,
In addition when i do perform the following i have a problem since
the or for the first line should be 1 as reference? Sahid
. xi,noomit:svy:logit sd107 i.v130,nocons or
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 35 Number of obs
= 5600
Number of PSUs = 4823 Population size
= 5638.5227
Design df
= 4788
F( 2, 4787)
= 510.77
Prob > F
= 0.0000
----------------------------------------------------------------------
--------
| Linearized
sd107 | Odds Ratio Std. Err. t P>|t| [95%
Conf. Interval]
-------------
+----------------------------------------------------------------
_Iv130_1 | .016556 .0021707 -31.28 0.000 .
0128034 .0214084
_Iv130_2 | .0087124 .0062621 -6.60 0.000 .
002129 .0356531
----------------------------------------------------------------------
--------
On Sun, Aug 24, 2008 at 7:43 PM, Sahid Hocine
<[email protected]> wrote:
Thanks,
In addition when i do perform the following i have a problem
since the or for the first line should be 1 as reference? Sahid
. xi,noomit:svy:logit sd107 i.v130,nocons or
(running logit on estimation sample)
Survey: Logistic regression
Number of strata = 35 Number of obs
= 5600
Number of PSUs = 4823 Population size
= 5638.5227
Design df
= 4788
F( 2, 4787)
= 510.77
Prob > F
= 0.0000
---------------------------------------------------------------------
---------
| Linearized
sd107 | Odds Ratio Std. Err. t P>|t| [95%
Conf. Interval]
-------------
+----------------------------------------------------------------
_Iv130_1 | .016556 .0021707 -31.28 0.000 .
0128034 .0214084
_Iv130_2 | .0087124 .0062621 -6.60 0.000 .
002129 .0356531
---------------------------------------------------------------------
---------
On Sun, Aug 24, 2008 at 4:00 PM, Steven Samuels
<[email protected]> wrote:
Sahid, -taboods- gives crude odds, not odds ratios.
Use -svy: logit- with -xi, noomit-; drop the constant, and add
option "or".
Note: when referring to commands on Statalist, use hyphens around
their names: -tabodds-
-Steve
/**************************************************/
sysuse auto, clear
gen rep= rep78<=3
tab rep
svyset _n
tabodds rep foreign
/* Now svy: logit */
xi, noomit : svy: logit rep i.foreign, nocons or
/*************************************************/
On Aug 24, 2008, at 10:29 AM, Sahid Hocine wrote:
Dear Stalister,
I have a question regarding Stata 10 being a newbee on the field.
I am analyzing a DHS data set *(survey) and for the bivariate
crude
analysis I am used to tabodds however it is not supported by the
svy , so I guess I would have to use the logistic command for
binary
analysis but the output is not what I want i.e a crude odd ratio by
category. Can I proceed with the svy or the stratification is
the only
solution?
Waiting for your help
Sahid
. svy:logistic sd107 v130
(running logistic on estimation sample)
Survey: Logistic regression
Number of strata = 35 Number of
obs = 5600
Number of PSUs = 4823 Population
size = 5638.5227
Design
df = 4788
F( 1,
4788) = 0.77
Prob >
F = 0.3795
-------------------------------------------------------------------
-----------
| Linearized
sd107 | Odds Ratio Std. Err. t P>|t| [95%
Conf. Interval]
-------------
+----------------------------------------------------------------
v130 | .5262408 .3844291 -0.88 0.380 .
1256632 2.203743
-------------------------------------------------------------------
-----------
. svy:tabodds sd107 v130
tabodds is not supported by svy with vce(linearized); see help svy
estimation for a list of Stata estimation commands
that are supported by svy
r(322);
. :tabodds sd107 v130
unrecognized command: : invalid command name
r(199);
. tabodds sd107 v130
-------------------------------------------------------------------
-------
v130 | cases controls odds [95% Conf.
Interval]
------------
+-------------------------------------------------------------
muslim | 81 5218 0.01552 0.01246
0.01933
christian | 3 298 0.01007 0.00323
0.03139
-------------------------------------------------------------------
-------
Test of homogeneity (equal odds): chi2(1) = 0.55
Pr>chi2 = 0.4602
Score test for trend of odds: chi2(1) = 0.55
Pr>chi2 = 0.4602
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