The DHS Program User Forum: Child Health

Home » Topics » Child Health » Child mortality

Show: Today's Messages :: Show Polls :: Message Navigator

Re: Child mortality [message #15791 is a reply to message #15743]

Mon, 17 September 2018 07:02

Eman Dahab
Messages: 3
Registered: August 2018
Location: Egypt

Member

Dear this is the stata code for your kind review

* Open DHS dataset - births recode file
use v005 v008 b3 b5 b7 using "IABR71FL.DTA", clear

* Create variables for time period limits - need to use variables as these change from case to case
gen t1 = .
gen t2 = .
* Initialize local variable lists used later
local vlist
local vlist2

* Loop through 5-year time periods
forvalues period = 0/4 {

* Calculate upper limit of time period
replace t2 = v008 - 60*`period'
* Calculate lower limit of time period
replace t1 = t2 - 60
* List age group lower limits
local agegroups 0 1 3 6 12 24 36 48 60
* Turn thse into tokens to use for the upper limits of the age groups
tokenize `agegroups'
* Loop through the age groups
foreach age of numlist `agegroups' {
* Ignore the 60+ age group - this was just to set the upper limit for the last age group - see a2
if (`age' < 60) {
* Create local for lower limit of age group - use locals as these are constants
local a1 = `age'
* Create local for upper limit of age group = the lower limit of the next age group
local a2 = `2'

* Cohort A numerator
gen numA`age'_`period' = ((`a1' <= b7 & b7 < `a2') & (t1 - `a2' <= b3 & b3 < t1 - `a1'))
* Cohort B numerator
gen numB`age'_`period' = ((`a1' <= b7 & b7 < `a2') & (t1 - `a1' <= b3 & b3 < t2 - `a2'))
* Cohort C numerator
gen numC`age'_`period' = ((`a1' <= b7 & b7 < `a2') & (t2 - `a2' <= b3 & b3 < t2 - `a1'))
* Cohort A denominator
gen denA`age'_`period' = ( (b5 == 1 | `a1' <= b7) & (t1 - `a2' <= b3 & b3 < t1 - `a1'))
* Cohort B denominator
gen denB`age'_`period' = ( (b5 == 1 | `a1' <= b7) & (t1 - `a1' <= b3 & b3 < t2 - `a2'))
* Cohort C denominator
gen denC`age'_`period' = ( (b5 == 1 | `a1' <= b7) & (t2 - `a2' <= b3 & b3 < t2 - `a1'))

* Count half for deaths for cohort C, except for the last period where all deaths are counted
local f = 0.5
if (`period' == 0) {
local f = 1
}
* Sum numerators from cohorts A, B and C for this case
gen num`age'_`period' = 0.5*numA`age'_`period' + numB`age'_`period' + numC`age'_`period'*`f'
* Sum denominators from chorts A, B and C for this case
gen den`age'_`period' = 0.5*denA`age'_`period' + denB`age'_`period' + denC`age'_`period'*0.5

* Generate list of numerator and denominator variables for period and age for collapse command below
local vlist `vlist' num`age'_`period' den`age'_`period'
* Similarly generate list of numerator and denominator variables for period only for reshape command below
if (`period' == 0) {
local vlist2 `vlist2' num`age'_ den`age'_
}
}
* Shift the token list to the next age group
mac shift
}
}

* Sum all numerators and denominators - weighted sum
collapse (sum) `vlist' [pw=v005/1000000]

* Add a variable to act as ID for the reshape
gen x = 0
* Reshape long by age group
reshape long `vlist2', i(x) j(period)
* Drop the underscore (_) on the end of variable names
rename *_ *

* Reshape now for periods
reshape long num den, i(period) j(a1)
* Drop the x variable as we no longer need it
drop x

* Generate the upper bounds of the age groups
gen a2 = a1[_n+1]
replace a2 = 60 if a1 == 48

* Calculate the age group mortality probabilities
gen death = num / den
* Calculate the age group survival probabilities
gen surv = 1 - death

* Generate product of survival probabilities:
gen prodsurv = surv if a1 == 0
replace prodsurv = surv * prodsurv[_n-1] if a1 > 0
* Generate product of survival probabilities for child mortality rate, starting at 12 months
gen prodsurv2 = surv if a1 == 12
replace prodsurv2 = surv * prodsurv2[_n-1] if a1 > 12

* Neonatal mortality rate
gen nmr = 1000*(1-prodsurv) if a2 == 1
* Postneonatal mortality rate (calculated later)
gen pnmr = .
* Infant mortality rate
gen imr = 1000*(1-prodsurv) if a2 == 12
* Child mortality rate
gen cmr = 1000*(1-prodsurv2) if a2 == 60
* Under-five mortality rate
gen u5mr = 1000*(1-prodsurv) if a2 == 60

* Capture just the rates
collapse (min) nmr pnmr imr cmr u5mr, by(period)

* Postneonatal mortality rate = IMR - NMR
replace pnmr = imr - nmr

Report message to a moderator

[Message index]

		Child mortality By: Eman Dahab on Sun, 19 August 2018 08:42
		Re: Child mortality By: Liz-DHS on Fri, 24 August 2018 10:10
		Re: Child mortality By: Eman Dahab on Thu, 06 September 2018 10:21
		Re: Child mortality By: Liz-DHS on Mon, 10 September 2018 09:29
		Re: Child mortality By: Eman Dahab on Mon, 17 September 2018 07:02
		Re: Child mortality By: Liz-DHS on Mon, 17 September 2018 10:55

Previous Topic:	Ethical Approval
Next Topic:	Measle vaccine coverage in Rwanda RDHS 2014-15

Goto Forum:

-=] Back to Top [=-

[ Syndicate this forum (XML) ] [

] [

]

Current Time: Mon Jan 13 12:46:24 Coordinated Universal Time 2025