Why pairwise likelihood?
Read OriginalThe article discusses the application of pairwise composite likelihood for fitting mixed models in complex survey settings, such as genetic analyses from the Hispanic Community Health Survey. It addresses the challenge when the sampling design structure (e.g., households) differs from the model's random-effect structure (e.g., genetic relatedness), making traditional weighted likelihood approaches difficult. The method uses a reweighted sum of pairwise loglikelihoods for estimation.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser