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Re: NMR, PMR, and IMR estimation with syncmrates [message #20096 is a reply to message #20061] Fri, 25 September 2020 07:01 Go to previous messageGo to previous message
shujaat.smc@gmail.com is currently offline  shujaat.smc@gmail.com
Messages: 75
Registered: July 2020
Senior Member
Dear DHS Representative,

Thanks a lot for your response. I am analyzing the neonatal mortality determinants using survival analysis methodology.

I have use following variables to declare by data set as survival data;

stset b6 [iweight=v005], failure(childsurvivalstatus=1)

b6= age at death

childsurvival status= variable created from b5 (code=1 for death)

I have 31,683 missing value out of 34,425 (92% missing).

My Question1: Should I remove these missing values from my analysis (ie; drop these observation)

My Question2: In DHS statistics it is written that variable b7 (imputed age at death in months) is not allowed to miss, but the in my PDHS 2017-18 I have same amount of missing values as in b6 (age at death in days and months).

Waiting for your reply.

Best Regards

Dr. Hussain



stset b6 [iweight=v005], failure(childsurvivalstatus=1)

failure event: childsurvivalstatus == 1
obs. time interval: (0, b6]
exit on or before: failure
weight: [iweight=v005]

------------------------------------------------------------ ------------------
34425 total observations
31683 event time missing (b6>=.) PROBABLE ERROR
------------------------------------------------------------ ------------------
2742 observations remaining, representing
2742 failures in single-record/single-failure data
462674 total analysis time at risk and under observation
at risk from t = 0
earliest observed entry t = 0
last observed exit t = 326

 
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