Regions as stratas [message #30203] |
Mon, 14 October 2024 14:48 |
Noorulain
Messages: 3 Registered: August 2024
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Number of strata = 10 Number of obs = 4,516
Number of PSUs = 404 Population size = 4,461.1268
Design df = 394
F(11, 384) = 4.45
Prob > F = 0.0000
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m34_new | Odds ratio std. err. t P>|t| [95% conf. interval]
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place_of_delivery_cat |
Home | 1.056671 .1411085 0.41 0.680 .8126801 1.373916
Government | .996002 .1372553 -0.03 0.977 .7596225 1.305938
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size_child_new |
Small | .4480244 .0928376 -3.87 0.000 .2981096 .6733289
Large | 2.385682 .6654784 3.12 0.002 1.378609 4.128423
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highest_edu_cat |
No education | 1.468173 .2833936 1.99 0.047 1.004542 2.145786
Primary | 1.060413 .2033389 0.31 0.760 .7273613 1.545965
Secondary | .9829099 .1947128 -0.09 0.931 .6658441 1.450958
Initially variable named "region" having four categories (sindh, punjab, balochistan, KPK) was in my multivariable model, I removed it later on because I was told that the "number of stratas 10" signifies region variable, so I was told to remove region from my multivariable model.
is this the correct approach? what does stratas and PSU signifies here. what does 10 stratas and 404 PSU signifies? should I removed it from my multivariable model? Once I removed this, my primary exposure variables becomes insignificant which was earlier significant otherwise. Leads on this?
I am using PDHS IR File, 2017-2018.
2) "Total children ever born" this variable has only live births and no still births, right? Reference "PDHS IR FILE 2017-2018"
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