Hi,
I am correcting Multiple Hypothesis testing using wyoung and rwolf commands in STATA. Each command reports the model p-value, which I understand as the individual p-value of each model before applying the correction. In this sense, the model p-values should be the same in both methods. However, they are very different and different from the results when I run each dependent variable independently.
Would you happen to know what is going on here? Why is it like that?
Thank you.
Lanna
Related Posts with Multiple hypothesis testing commands in STATA (Wyoung and rwolf)
eregress / etregress and margins + interpretationHello everyone, I have insurance claims data (health insurance) from which I'm trying to figure out…
Plot with text not exporting to PDFDear all. What I am about to describe, happens happens in both Stata 15 and Stata 16, running on Wi…
creating a percentage graph barDear Statalist I would like to make a graph bar but with percentages instead of the count. However,…
Probability weights in random effects modelsHello, I am trying to estimate the effects of several time invariant variables on my outcome using …
Using random instead of fixed effects in ordered probit model, and dummy variablesDear all, I am reaching out because I would need some clarifications for my regression model for my…
Subscribe to:
Post Comments (Atom)
0 Response to Multiple hypothesis testing commands in STATA (Wyoung and rwolf)
Post a Comment