| 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 
 
 ------------------------------------------------------------ ---------------------------- 
                       |             Linearized 
               m34_new | Odds ratio   std. err.      t    P>|t|     [95% conf. interval] 
 -----------------------+------------------------------------ ---------------------------- 
 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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