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
>>> *
>>> * For searches and help try:
>>> * http://www.stata.com/help.cgi?search
>>> * http://www.stata.com/support/statalist/faq
>>> * http://www.ats.ucla.edu/stat/stata/
>>
>> *
>> * For searches and help try:
>> * http://www.stata.com/help.cgi?search
>> * http://www.stata.com/support/statalist/faq
>> * http://www.ats.ucla.edu/stat/stata/
>
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
