15 citations · 32 across the 16 of their papers we have counts for
16 papers
Rank Intraclass Correlation for Clustered Data
Shengxin Tu, Chun Li, Donglin Zeng +1
Clustered data are common in biomedical research. Observations in the same cluster are often more similar to each other than to observations from other clusters. The intraclass cor…
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…
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…
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…
Asymptotic Properties for Cumulative Probability Models for Continuous Outcomes
Chun Li, Yuqi Tian, Donglin Zeng +1
Regression models for continuous outcomes often require a transformation of the outcome, which the user either specify {\it a priori} or estimate from a parametric family. Cumulati…
Three-phase generalized raking and multiple imputation estimators to address error-prone data
Gustavo Amorim, Ran Tao, Sarah Lotspeich +4
Validation studies are often used to obtain more reliable information in settings with error-prone data. Validated data on a subsample of subjects can be used together with error-p…