45 citations · 91 across the 7 of their papers we have counts for
7 papers
Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond
Ambarish Chattopadhyay, Carl N. Morris, Jose R. Zubizarreta
The Finite Selection Model (FSM) was developed by Carl Morris in the 1970s for the design of the RAND Health Insurance Experiment (HIE) (Morris 1979, Newhouse et al. 1993), one of…
Randomized and Balanced Allocation of Units into Treatment Groups Using the Finite Selection Model for R
Ambarish Chattopadhyay, Carl N. Morris, Jose R. Zubizarreta
The original Finite Selection Model (FSM) was developed in the 1970s to enhance the design of the RAND Health Insurance Experiment (HIE; Newhouse et al. 1993). At the time of its d…
Rgbp: An R Package for Gaussian, Poisson, and Binomial Random Effects Models with Frequency Coverage Evaluations
Hyungsuk Tak, Joseph Kelly, Carl N. Morris
Rgbp is an R package that provides estimates and verifiable confidence intervals for random effects in two-level conjugate hierarchical models for overdispersed Gaussian, Poisson,…
Data-dependent Posterior Propriety of Bayesian Beta-Binomial-Logit Model
Hyungsuk Tak, Carl N. Morris
A Beta-Binomial-Logit model is a Beta-Binomial model with covariate information incorporated via a logistic regression. Posterior propriety of a Bayesian Beta-Binomial-Logit model…
Shrinkage Estimation in Multilevel Normal Models
Carl N. Morris, Martin Lysy
This review traces the evolution of theory that started when Charles Stein in 1955 [In Proc. 3rd Berkeley Sympos. Math. Statist. Probab. I (1956) 197--206, Univ. California Press]…
Estimating Random Effects via Adjustment for Density Maximization
Carl Morris, Ruoxi Tang
We develop and evaluate point and interval estimates for the random effects , having made observations $y_i|θ_i\stackrel{\m athit{ind}}{\sim}N[θ_i,V_i],i=1,...,k$ that follow…