1 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ME2022★ 1 cited
Analyzing Clustered Continuous Response Variables with Ordinal Regression Models
Yuqi Tian, Bryan E. Shepherd, Chun Li +2
Continuous response variables often need to be transformed to meet regression modeling assumptions; however, finding the optimal transformation is challenging and results may vary…
stat.CO2022★ 1 cited
Fitting Semiparametric Cumulative Probability Models for Big Data
Chun Li, Guo Chen, Bryan E. Shepherd
Cumulative probability models (CPMs) are a robust alternative to linear models for continuous outcomes. However, they are not feasible for very large datasets due to elevated runni…
stat.ME2022★ 1 cited
Addressing Detection Limits with Semiparametric Cumulative Probability Models
Yuqi Tian, Chun Li, Shengxin Tu +3
Detection limits (DLs), where a variable is unable to be measured outside of a certain range, are common in research. Most approaches to handle DLs in the response variable implici…