| Early Childhood mortality in Myanmar [message #14160] |
Tue, 27 February 2018 10:13  |
Sai San Moon Lu
Messages: 5
Registered: January 2018
Location: Umea, Sweden
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Dear Sir/Madam,
For my thesis, inequalities in childhood mortality in Myanmar, I would like to investigate the associations between mother`s socioeconomic status (Education, Residence, Wealth) vs neonatal, post-neonatal & child (1-4) mortality by using Myanmar DHS STATA data-set (mmbr71)(2015-2016).
1) Could you please teach me how to do logistic regression to find association between mother`s residence(Urban/Rural) and post-neonatal mortality (10 yrs preceding the survey) as an example by using STATA data-set? I would like to learn the "do file" from previous similar studies as well.
2) Could you pls suggest the variables codes I should use for the treatments (education,residence,wealth) and outcomes (neonatal,post-neonatal,child)?
3) I would like to learn how to compute early childhood mortality rate stratified by background/demographic characteristics (Table 8.2 &8.3 from Myanmar DHS final report_2015/16) in STATA. Can I also learn the "do files" that were used to compute data for table 8.2, 8.3 and 8.5 in Myanmar DHS latest report? (table 8.2= Early childhood mortality rates by socioeconomic characteristics, 8.3=Early childhood mortality rates by demographic characteristics, 8.5= High risk fertility behavior)
Thanks in advance
Kind Regards,
Sai San Moon Lu
[Updated on: Tue, 27 February 2018 14:15] Report message to a moderator |
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| Re: Early Childhood mortality in Myanmar [message #14766 is a reply to message #14239] |
Fri, 04 May 2018 04:45  |
Sai San Moon Lu
Messages: 5
Registered: January 2018
Location: Umea, Sweden
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Dear User,
Regarding your question, I like to share what i have done so far.
When I tested log regression to investigate association between mother's education and under five mortality (uni-variate analysis), I used the following commands for instance;
** SAMPLE WEIGHTING **
generate wgt = v005/1000000
svyset [pw=wgt], psu(v021)strata(v023)
label variable wgt " sample weight"
*** RECODING INDEPENDENT VARIABLES ***
* Recode Mother Education *
recode v106 (3=0 "higher") (2=1 "secondary") (1=2 "primary") (0=3 "no education") (.=99 "missing"), generate (M_E)
label variable M_E "Mother Education Recode"
*** RECODING DEPENDENT VARIABLES**
* Under 5 mortality (0-4yrs)*
recode b7 (0/59=1 "U5 death") (else=0 "alive >5yrs"), generate (u5)
label variable u5 "Under 5 mortality (0-4yrs)"
** Logistic regression for mother's education and u5 deaths (Uni-variate) ***
drop if M_E==99
svy: logistic u5 i.M_E
If you want to calculate the under-five mortality rate additionally, pls refer the following link;
https:// userforum.dhsprogram.com/index.php?t=msg&th=6371&got o=13114&#msg_13114
Hope it will be helpful..
Regards,
Moon
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