You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When re-simulating residuals for fixed data and integer responses, p-values may spread within a certain range, due to the randomization procedure to smoothen out the integer values.
Particularly in low-data situation, this can result in p-values being quite variable. In this case, it might be desirable to have an option to obtain an aggregate p-value from multiple simulations.
Question is
a) how to best do this
b) what the properties of the resulting p-values are in terms of their distribution / type I error / power
The text was updated successfully, but these errors were encountered:
D&S comment that they recommend several plots. I think what's easier to do is to do several simulations, and then plot with densities, and adjust weights in all tests or correct for multiple testing.
When re-simulating residuals for fixed data and integer responses, p-values may spread within a certain range, due to the randomization procedure to smoothen out the integer values.
This phenomenon was discussed in #37
Particularly in low-data situation, this can result in p-values being quite variable. In this case, it might be desirable to have an option to obtain an aggregate p-value from multiple simulations.
Question is
a) how to best do this
b) what the properties of the resulting p-values are in terms of their distribution / type I error / power
The text was updated successfully, but these errors were encountered: