1 citations · 1 across the 2 of their papers we have counts for
4 papers
Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
JoonHo Lee, Jonathan Che, Sophia Rabe-Hesketh +2
In multisite trials, researchers are often interested in several inferential goals: estimating treatment effects for each site, ranking these effects, and studying their distributi…
Computational strategies and estimation performance with Bayesian semiparametric Item Response Theory models
Sally Paganin, Christopher J. Paciorek, Claudia Wehrhahn +3
Item response theory (IRT) models typically rely on a normality assumption for subject-specific latent traits, which is often unrealistic in practice. Semiparametric extensions bas…
A Dyadic IRT Model
Brian Gin, Nicholas Sim, Anders Skrondal +1
We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors, perception…
Bayesian comparison of latent variable models: Conditional vs marginal likelihoods
E. C. Merkle, D. Furr, S. Rabe-Hesketh
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software…