Hello Stata users,
I am performing a cosinor analysis on seasonal iodine dispersion. To do this, I have appended 2 survey data sets, with two different probability weights totaling about 3000 observations. I understand that given missing data, etc., the final regression will not contain ~3000 observations, but this number changes significantly when I include the probability weights. When I use one, I get an output with 888 observations, and when I use the other, my output suddenly has close to 2000.
My question here is how do I justify the use of one pweight over the other? Is there a way to include both in my regression?
Thank you for your time!
-Hannah
Related Posts with Question about probability weights and number of observations
DV DifferencesHi all, In my regression, I should enter Y(t1)-Y(t0) as a dependent variable where t1 and t0 are 10…
r 430Hi All, im trying to submit the following command: melogit newpromar LOForLoan i.ObsAccessfinn ResD…
Panel data anaysisI have panel data for 34 countries and four independent variables to determine their impacts on Expo…
Meta-analysis of individual patient data (one-step) - time to event in the presence of competing-risksHi, I am wondering whether anyone can help with a problem I am having synthesizing data for a meta-…
Rearranging data using stata codeDear Stata Users, I would like to rearrange the following data sets using a specific "stata-code" r…
Subscribe to:
Post Comments (Atom)
0 Response to Question about probability weights and number of observations
Post a Comment