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Definition of ARI [message #13406] Wed, 01 November 2017 02:51 Go to next message
r10000 is currently offline  r10000
Messages: 2
Registered: September 2017
Location: Bangladesh
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Dear DHS,

I am trying to analyze the possible risk factor associated with ARI by using BDHS-2014, kr data-set.

DHS uses the following definition of ARI,

gen ari=0
replace ari=1 if h31b==1 & (h31c==1 | h31c==3)
replace ari =. if age>=60 | b5==0

So by this definition of ARI if h31b or h31c has non-eligible cases such as (8 or 9) ,the corresponding observation will be assigned 0 or 'No' in the ari variable.

But the code (8 or 9) doesn't mean that the child did not have symptoms of ARI.

Is this definition of ARI okay to use in regression model?
Re: Definition of ARI [message #13463 is a reply to message #13406] Mon, 06 November 2017 13:13 Go to previous messageGo to next message
Bridgette-DHS is currently offline  Bridgette-DHS
Messages: 2313
Registered: February 2013
Senior Member
Here's a response from Senior DHS Stata Specialist, Tom Pullum:

You are right, cases with h31b or h31c equal to 8 or 9 will be assigned to "ari=0", even though this may be an error. The general rule for most outcomes is that the default category is 0. We only assign to 1 if there is a clear indication. This convention is analogous to favoring the null hypothesis in hypothesis testing, or assuming that someone is innocent unless proven guilty in criminal cases. Favoring "0", if in doubt, may underestimate the prevalence of "1" but is usually considered preferable to doing the reverse.
Re: Definition of ARI [message #13520 is a reply to message #13463] Mon, 13 November 2017 16:04 Go to previous message
r10000 is currently offline  r10000
Messages: 2
Registered: September 2017
Location: Bangladesh
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Thanks for the reply.
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