| Re: Tuberculosis and Childhood Tuberculosis [message #24614 is a reply to message #24582] |
Wed, 08 June 2022 03:27  |
NKS
Messages: 2
Registered: June 2022
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Thank you for the quick response.
I have already applied the state weight and IW. The number of usual residents for states which is "N" is matching with the state report while point prevalence by age-group and gender is not. For instance, point prevalence among <15 years for UP was estimated as 34/100,000 from the data but in the report, it is 356/100,000.
Here is the full command of STATA, which I have employed for the state of Uttar Pradesh (if hv024==9):
gen tb_mtreated =0
replace tb_mtreated =1 if sh29aa>=1 & sh29aa<=3
proportion tb_mtreated if hv102==1 [iw=hv005/1000000]
recode hv105 (0/14=1 "0-14 years") (15/59=2 "15-59 years") (else=3 ">=60 years"), gen (age)
proportion tb_mtreated if hv102==1 & hv024==9 [iw=shweight/1000000], over (age)
proportion tb_mtreated if hv102==1 & hv024==9 [iw=shweight/1000000], over (hv104)
proportion tb_mtreated if hv102==1 & hv024==9 [iw=shweight/1000000]
//Results from STATA//
proportion tb_mtreated if hv102==1 & hv024==9 [iw=shweight/1000000], over (age)
Proportion estimation Number of obs = 364,194
_prop_1: tb_mtreated = 0
_prop_2: tb_mtreated = 1
_subpop_1: age = <15
_subpop_2: age = 15-59
_subpop_3: age = >=60
Over Proportion Std. Err. [95% Conf. Interval]
_prop_1
_subpop_1 .9996582 .0000553 .9995307 .9997511
_subpop_2 .9975473 .0001065 .9973295 .9977473
_subpop_3 .994669 .0003812 .9938673 .9953665
_prop_2
_subpop_1 .0003418 .0000553 .0002489 .0004693
_subpop_2 .0024527 .0001065 .0022527 .0026705
_subpop_3 .005331 .0003812 .0046335 .0061327
Request you to kindly look at the discrepancies.
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