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Re: Using weights in regression analysis [message #848 is a reply to message #240] Thu, 17 October 2013 20:19 Go to previous messageGo to previous message
smgwu is currently offline  smgwu
Messages: 4
Registered: October 2013
Location: Washington, D.C.
Member
This was so very helpful. Thank you!

Can you tell me what I may be doing wrong here regarding the "missing standard errors because of stratum with single sampling unit"?
(unmetneed and hivtest_result are both recoded binary variables)



. xi: svy: logistic unmetneed i.v106 if hivtest_result ==1
i.v106 _Iv106_0-3 (naturally coded; _Iv106_0 omitted)
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata = 20 Number of obs = 358
Number of PSUs = 196 Population size = 285.15532
Design df = 176
F( 0, 176) = .
Prob > F = .

------------------------------------------------------------ ------------------
| Linearized
unmetneed | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+---------------------------------------------- ------------------
_Iv106_1 | 1.276187 . . . . .
_Iv106_2 | .2371095 . . . . .
_Iv106_3 | .0652819 . . . . .
_cons | .0844227 . . . . .
------------------------------------------------------------ ------------------
Note: missing standard errors because of stratum with single sampling unit.


Any help is appreciated.

Thank you.
 
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