Re: Dropping observations/weights [message #11894 is a reply to message #11891] |
Mon, 27 February 2017 09:56 ![Go to previous message Go to previous message](/theme/default/images/up.png) ![Go to next message Go to previous message](/theme/default/images/down.png) |
Bridgette-DHS
Messages: 3123 Registered: February 2013
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Senior Member |
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Following is a response from Senior DHS Stata Specialist, Tom Pullum:
There have been many forum posts on "pooling". You can put both surveys into a single file, with a variable that distinguishes one survey from another, and you can look at differences between the two surveys, but I would never recommend that you treat them as a single survey.
I am getting some help with the question about how the more detailed codes for ethnicity (v131 in the IR files) in the 2004 and 2011 surveys were mapped into the six main categories. Will post that separately.
Adult and maternal mortality rates and the maternal mortality ratio are calculated from the sisterhood module. They cannot be calculated from the respondents themselves because if a woman has died she cannot be in the survey. It would not be desirable to drop ANY woman who has any sisters. I can't think of a reason why you might even consider doing that.
There has been endless forum discussion on renormalizing the weights. If you are looking at differences or changes between the two surveys, then you use the weights exactly as they are in the data. Your question is only relevant if you want to combine the two surveys for a single estimate. I would not recommend doing that, but if you want to do it, the steps have been posted.
For a general description of the maternal mortality ratio and rate, see this WHO report: http://www.who.int/reproductivehealth/publications/monitorin g/maternal-mortality-2015/en/. For a description of DHS procedures, see this Methodological Report: https://www.dhsprogram.com/pubs/pdf/MR13/MR13.pdf.
For all of the v467 options (a through m) in the 2011 survey, there are 15,426 NA cases ("."). These would be women for whom the options were not relevant, perhaps because they had no need to seek medical help in a reference time period. The general strategy when you see this is to look at the questionnaire and find the filter that determined whether or not these questions would be asked. In some cases there may be subsampling, such that only a fraction of the women will be asked certain questions, such as domestic violence questions, but I don't think this was such a survey.
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