Dear All,
I'm working with large population surveys. The individuals interviewed are women of
reproductive age. Among many other things, the respondents provide information relating
to their children. All this information is stored in the respondent's record.
I would like to run some logistic regressions with infant mortality as dependent
variable (1 if child died within the month following birth; 0 otherwise). In order
to create this dependent variable, I need to reshape the dataset from wide to long
so as to have one live birth per record. I do not consider all the children for
which information is available, but only those born up to 10 years before the
mother's interview date.
In this situation, what is the most appropriate approach to account for the complex
survey design? I thought of using the svyset command, but I'm not sure how. More
particularly, should I account for the clustering of live births at the level of the
respondent and for the fact that respondents who did not have any live birth in the
last 10 years are omitted from the regression analysis? If so, how? Should I adjust
the sample weights when more than one child is from the same mother?
I'm using STATA 9.2.
I hope someone can help me with this. Thanks in advance!
Alex
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