54 citations · 60 across the 6 of their papers we have counts for
7 papers
Multiple Imputation for Non-Monotone Missing Not at Random Binary Data using the No Self-Censoring Model
Boyu Ren, Stuart R. Lipsitz, Roger D. Weiss +1
Although approaches for handling missing data from longitudinal studies are well-developed when the patterns of missingness are monotone, fewer methods are available for non-monoto…
Permutation tests for assessing potential non-linear associations between treatment use and multivariate clinical outcomes
Boyu Ren, Stuart R. Lipsitz, Garrett M. Fitzmaurice +1
In many psychometric applications, the relationship between the mean of an outcome and a quantitative covariate is too complex to be described by simple parametric functions; inste…
Semiparametric analysis of clustered interval-censored survival data using Soft Bayesian Additive Regression Trees (SBART)
Piyali Basak, Antonio R. Linero, Debajyoti SInha +1
Popular parametric and semiparametric hazards regression models for clustered survival data are inappropriate and inadequate when the unknown effects of different covariates and cl…
Semiparametric Mixed-Scale Models Using Shared Bayesian Forests
Antonio R. Linero, Debajyoti Sinha, Stuart R. Lipsitz
This paper demonstrates the advantages of sharing information about unknown features of covariates across multiple model components in various nonparametric regression problems inc…
Bayesian Variable Selection for Skewed Heteroscedastic Response
Libo Wang, Yuanyuan Tang, Debajyoti Sinha +2
In this article, we propose new Bayesian methods for selecting and estimating a sparse coefficient vector for skewed heteroscedastic response. Our novel Bayesian procedures effecti…
A generalized linear mixed model for longitudinal binary data with a marginal logit link function
Michael Parzen, Souparno Ghosh, Stuart Lipsitz +4
Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudi…