Home » Topics » Biomarkers » Slight difference in HIV numbers in South Africa 2016 dataset (IR, MR) (Slight difference in HIV numbers within subgroups age, region, education, wealth)
| Re: Slight difference in HIV numbers in South Africa 2016 dataset (IR, MR) [message #21669 is a reply to message #21634] |
Mon, 07 December 2020 09:16  |
Bridgette-DHS
Messages: 3230
Registered: February 2013
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Senior Member |
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Following is a response from DHS Research & Data Analysis Director, Tom Pullum:
I was able to get a match by merging with the PR file and then selecting the women for whom hv117=1 (for men you would select on hv118=1). These are the women (and men) who were eligible for the individual interviews, whether or not they were actually interviewed individually.
I tried this because the biomarkers are part of the household survey and the covariates in the table are part of the household survey. However, your approach--merging with the IR file (and MR file) was completely reasonable, and the differences are very small.
set more off
use "C:\Users\26216\ICF\Analysis - Shared Resources\Data\DHSdata\ZAAR71FL.DTA", clear
rename hivclust hv001
rename hivnumb hv002
rename hivline hvidx
sort hv001 hv002 hvidx
save e:\DHS\DHS_data\scratch\ZAARtemp.dta, replace
use "C:\Users\26216\ICF\Analysis - Shared Resources\Data\DHSdata\ZAPR71FL.DTA", clear
keep hv001 hv002 hvidx hv024 hv104 hv105 hv117 hv118
sort hv001 hv002 hvidx
merge hv001 hv002 hvidx using e:\DHS\DHS_data\scratch\ZAARtemp.dta
tab _merge
keep if _merge==3
drop _merge
tab hv024 [iweight=hiv05/1000000] if hv117==1
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Attachment: hv024.png
(Size: 19.31KB, Downloaded 747 times)
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