Dear statisticians,
I want to test whether a variable M plays a mediating role in the effect of X on Y. I know it is quite easy to use medeff command in Stata, but the problem is that the response variable Y is a non-negative one, meaning a count model is more appropriate. Thus, medeff command cannot help.
How can I test the (causal) meditation effect in this situation using Stata? Looking forward to your insightful comments. Thank you in advance!
Related Posts with How can I test the meditation effect for count models (i.e. poisson, negative binomial)
How to interpret interactions in negative binomial regressionDear Statalist users, I am currently working on a study on how to increase complementor participatio…
what to do about missing gender and ethnicity data?Hi all, I am working on a demographic analysis on who is applying for jobs and who is selected, and…
Using 7z in Stata (through terminal or shell command)Dear Statalist users, I am trying to unzip a large number of .7z files in Stata. I am a MAC OS user…
non linear estimation with hundreds of variablesDear all, I am trying to run a non linear estimation of beta in the following specification: yi = ln…
one test subject, several answers - how to recode?Hi, my friend has a (string) variabel of which the test subjects could answer from one to several we…
Subscribe to:
Post Comments (Atom)
0 Response to How can I test the meditation effect for count models (i.e. poisson, negative binomial)
Post a Comment