The DHS Program User Forum: Mortality » Dropping of Observations

Home » Topics » Mortality » Dropping of Observations (Neonatal Mortality Rate Estimations and Determinants)

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

Dropping of Observations [message #20099]

Fri, 25 September 2020 07:58

shujaat.smc@gmail.com is currently offline

shujaat.smc@gmail.com
Messages: 75
Registered: July 2020

Senior Member

Dear DHS Representative,

I am using PDHS(Pakistan-DHS 2017-18) for assessing neonatal mortality rate and determinants using survival analysis methodology.

I am estimating mortality rate and its determinants in neonates with birth weight>= 2500gms.

In this case can I drop those observation (m19=birthweight) whose weight is less than 2500gms ???

If I drop these LBW observations what will be effect on survey weight V005.

If I cannot drops LBW then how I should declare my data set as survival analysis data so that i got the results only for neonates with birthweight above 2500gms when I am using the reference category of BW 4.5 and above.

Kindly Reply at your earliest.

Best Regards

Dr. Hussain

Report message to a moderator

Re: Dropping of Observations [message #20101 is a reply to message #20099]

Fri, 25 September 2020 08:58

Bridgette-DHS
Messages: 3230
Registered: February 2013

Senior Member

Following is a response from DHS Research & Data Analysis Director, Tom Pullum:

There is very little you can do with birthweight (m19) in this survey. It is only provided for about 18% of births. The rest are "not weighed" or "don't know". The 18% that include a numerical value have a lot of heaping and questionable extreme values. About 15% of the numerical values are heaped right at 2500g. I would not have a lot of confidence in these numbers.

If you do proceed, I would recommend that initially you construct 5 categories, something like these: m19<2500; m19=2500; m19>2500 but <9996; m19=9996; and m19=9998. Then check for a statistical association between that categorical variable and neonatal or infant mortality.

The interpretation is probably affected by the fact that children for whom a birthweight is given are much more likely to have taken place in a facility, which gives a survival advantage, even if the child was LBW.

You should definitely not drop the LBW children and you do not need to modify the sampling weights.

Report message to a moderator

Survival Data Setting in Stata for Neonatal Mortality Determinants [message #20121 is a reply to message #20101]

Sun, 27 September 2020 08:31

shujaat.smc@gmail.com
Messages: 75
Registered: July 2020

Senior Member

Dear DHS Representative,

I am very much thankful to you for your quick responses.

I am following an article in which the author has mentioned that "The outcome was neonatal deaths recorded as a binary variable. The age of neonatal death was measured in days and for deaths within 24 hours value of 0.01 days was used".

For generating variables to specify my data set in stata as survival data how should I generate the time variable for neonates and specifying a value of 0.01 for death at the day of birth.

Please also comment on the outcome variable I have generated;

gen neonataldeath=1 if b6<=128
replace neonataldeath=0 if b6>=201

Best Regards

Dr. Hussain

Report message to a moderator

Previous Topic:	regression to explore the relationship between neonatal mortality & maternal health seeking behavioo
Next Topic:	NMR, PMR, and IMR estimation with syncmrates

Goto Forum:

-=] Back to Top [=-

[ Syndicate this forum (XML) ] [

] [

]

Current Time: Sun Jul 27 06:23:26 Coordinated Universal Time 2025