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# Re: st: crude binary analysis

 From "Sahid Hocine" <[email protected]> To [email protected] Subject Re: st: crude binary analysis Date Sun, 24 Aug 2008 19:46:05 +0100

```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/
```

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