24 citations · 35 across the 6 of their papers we have counts for
6 papers
Coefficients of Determination for Mixed-Effects Models
Dabao Zhang
The coefficient of determination is well defined for linear models and its extension is long wanted for mixed-effects models. We revisit its extension to define measures for propor…
Differential Analysis of Directed Networks
Min Ren, Dabao Zhang
We developed a novel statistical method to identify structural differences between networks characterized by structural equation models. We propose to reparameterize the model to s…
Variable Selection for High-dimensional Generalized Linear Models using an Iterated Conditional Modes/Medians Algorithm
Vitara Pungpapong, Min Zhang, Dabao Zhang
High-dimensional linear and nonlinear models have been extensively used to identify associations between response and explanatory variables. The variable selection problem is commo…
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations
Chen Chen, Min Ren, Min Zhang +1
We propose a two-stage penalized least squares method to build large systems of structural equations based on the instrumental variables view of the classical two-stage least squar…
Generalized Orthogonal Components Regression for High Dimensional Generalized Linear Models
Yanzhu Lin, Min Zhang, Dabao Zhang
Here we propose an algorithm, named generalized orthogonal components regression (GOCRE), to explore the relationship between a categorical outcome and a set of massive variables.…
Penalized Orthogonal-Components Regression for Large p Small n Data
Dabao Zhang, Yanzhu Lin, Min Zhang
We propose a penalized orthogonal-components regression (POCRE) for large p small n data. Orthogonal components are sequentially constructed to maximize, upon standardization, thei…