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From |
"Matt Spittal" <[email protected]> |

To |
<[email protected]> |

Subject |
RE: st: crude binary analysis |

Date |
Mon, 25 Aug 2008 10:03:28 +1000 |

```
Sahid,
See -help xi- for information on controlling the reference category (specifically, the section 'Summary of controlling the omitted dummy').
-- Matt
[email protected]
-----Original Message-----
From: [email protected]
[mailto:[email protected]]On Behalf Of Sahid Hocine
Sent: Monday, 25 August 2008 5:13 AM
To: [email protected]
Subject: Re: st: crude binary analysis
Steven, Thanks
I meant when i use the -tabodds- for binary crude analysis it gives
me odds ( not OR my mistake) which i used then to calculate ratios.
thus the OR=1 for the reference chosen.
When use the xi can i specify the reference for the or analysis (
which will have OR=1)?
On Sun, Aug 24, 2008 at 7:54 PM, Steven Samuels
<[email protected]> wrote:
> 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
>>>>> *
>>>>> * 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/
>
> *
> * 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/
```

**References**:**Re: st: crude binary analysis***From:*"Sahid Hocine" <[email protected]>

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