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I have a very small sample size on drowning data of Bangladesh in following way

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Now I want to give sampling weight for further analysis. How can I calculate sampling weight for the data? I have information of total population. I have searched in google but didn't get any concrete idea or calculation procedure.

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  • $\begingroup$ Your sampling weight should depend on your sample design. How did you design/collect this sample? $\endgroup$ – RoryT Jul 24 '17 at 2:28
  • $\begingroup$ It is a national, cross-sectional survey with 300,001 respondents interviewed between March and June 2016. It uses a complex sampling strategy based on probability-proportional-to-size (PPS) methodologies with separate urban and rural samples. $\endgroup$ – Md. Rayhanul Islam Jul 25 '17 at 3:23
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Your data set should inherit the sampling weights from your original survey. Moreover, your 113 cases should be analyzed as a domain of your survey (svy, subpop(): whatever), keeping (in the worst case, depending on the specifics of the original design) all 300K observations in your data set. See West, Berglund and Heeringa (2008).

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  • $\begingroup$ I have to work with only these 113 samples from 300k observations for specific topics. Did you recommend any articles for imbalance data cause I want to explore the effect on drowning on these groups. $\endgroup$ – Md. Rayhanul Islam Sep 20 '17 at 18:48

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