178 citations · 257 across the 7 of their papers we have counts for
7 papers
Variable importance scores
Wei-Yin Loh, Peigen Zhou
Scoring of variables for importance in predicting a response is an ill-defined concept. Several methods have been proposed but little is known of their performance. This paper fill…
Classification and regression tree methods for incomplete data from sample surveys
Wei-Yin Loh, John Eltinge, MoonJung Cho +1
Analysis of sample survey data often requires adjustments to account for missing data in the outcome variables of principal interest. Standard adjustment methods based on item impu…
PLUTO: Penalized Unbiased Logistic Regression Trees
Wenwen Zhang, Wei-Yin Loh
We propose a new algorithm called PLUTO for building logistic regression trees to binary response data. PLUTO can capture the nonlinear and interaction patterns in messy data by re…
A regression tree approach to identifying subgroups with differential treatment effects
Wei-Yin Loh, Xu He, Michael Man
In the fight against hard-to-treat diseases such as cancer, it is often difficult to discover new treatments that benefit all subjects. For regulatory agency approval, it is more p…
Regression trees for longitudinal and multiresponse data
Wei-Yin Loh, Wei Zheng
Previous algorithms for constructing regression tree models for longitudinal and multiresponse data have mostly followed the CART approach. Consequently, they inherit the same sele…
Improving the precision of classification trees
Wei-Yin Loh
Besides serving as prediction models, classification trees are useful for finding important predictor variables and identifying interesting subgroups in the data. These functions c…