Dismiss Notice
SDN members see fewer ads and full resolution images. Join our non-profit community!

power analysis for ZINB regression models

Discussion in 'Psychology [Psy.D. / Ph.D.]' started by psyched2graduate, Aug 24, 2017.

  1. psyched2graduate

    Joined:
    May 28, 2015
    Messages:
    56
    Likes Received:
    25
    Status:
    Psychology Student
    Does anyone know if there is a way to run a power analysis for zero-inflated negative binomial regression models? Or general set of guidelines for ensuring adequate power for these models? I found a few articles, but they are largely theoretical in nature. I ran the models in Mplus (which I am new to) and was hoping there was a way to do it in that. Thanks for any help!
     
  2. Thread continues after this sponsor message. SDN Members do not see this ad.

  3. Ollie123

    Joined:
    Feb 19, 2007
    Messages:
    4,595
    Likes Received:
    980
    Status:
    Psychology Student
    No software that I am aware of can do it. It sounds like you already have the data so post-hoc power analysis is not very meaningful anyways (if that is where you are going with this).

    It wouldn't be elegant, but you could hard code something like this in R. Power analysis isn't rocket science. Generate a few thousand random distributions based on your parameters, apply the chosen analysis to each and count sig p values. That's the essence of it. Elegant solutions would make it so it wouldn't take hours to run, but something like that should get the job done for a one-time-only type thing.
     
  4. psyched2graduate

    Joined:
    May 28, 2015
    Messages:
    56
    Likes Received:
    25
    Status:
    Psychology Student
    Thanks, Ollie! I was trying to avoid simulations altogether, but this is what I went with. And yeah, an editor suggested we run this analysis but then later thought that we didn't have the power to do it, hence the post-hoc power analysis.
     
    #3 psyched2graduate, Aug 25, 2017
    Last edited: Aug 25, 2017

Share This Page