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st: Handling missing values for dates


From   Tomas M <anon556656@live.ca>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: Handling missing values for dates
Date   Wed, 1 Apr 2009 10:16:14 -0700

I have a question for the Statalist.

Suppose I have a several date variables, each constructing a timeline of events.

Say, Date 1 < date 2 < date 3 < date 4.

They are supposed to follow in chronological order.

For a few cases, suppose date 3 occurs before date 2 (i.e. the values in Date 3 are in error).

My question is, if I wanted to calculate the window from (Date 1 to Date 2), or (Date 1 to Date 3), would it be better to fill in the data with the most conservative estimate possible?

For example, if the values for Date 3 are in error, then the LEAST conservative estimate for (Date 1 to Date 3) is equal to (Date 1 to Date 2).  And by saying (Date 1 to Date 2), etc., I mean calculating the difference between the dates.

Conversely, the MOST conservative estimate for (Date 1 to Date 3) is equal to (Date 1 to Date 4), since Date 3 is supposed to occur between Date 2 and 4.

What should I do with these missing values then?

Should I just exclude from analyses?


Would this coding work?

replace Date_3 = Date_2 if Date_3==.



Thanks in advance!

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