activity
20072023
most citedRandomized Predictive P-values: A Versatile Model Diagnostic Tool with Unified Reference Distribution

127 citations · 216 across the 12 of their papers we have counts for

collaborators

12 papers

stat.ME2023★ 1 cited

Cross-validatory Z-Residual for Diagnosing Shared Frailty Models

Tingxuan Wu, Cindy Feng, Longhai Li

Residual diagnostic methods play a critical role in assessing model assumptions and detecting outliers in statistical modelling. In the context of survival models with censored obs…

stat.ME2023

Z-residual diagnostics for detecting misspecification of the functional form of covariates for shared frailty models

Tingxuan Wu, Longhai Li, Cindy Feng

In survival analysis, the hazard function often depends on a set of covariates. Martingale and deviance residual are most widely used for examining the validity of the function for…

stat.ME2019★ 10 cited

Model diagnostics for censored regression via randomized survival probabilities

Longhai Li, Tingxuan Wu, Cindy Feng

Residuals in normal regression are used to assess a model's goodness-of-fit (GOF) and discover directions for improving the model. However, there is a lack of residuals with a char…

stat.ME2017★ 127 cited

Randomized Predictive P-values: A Versatile Model Diagnostic Tool with Unified Reference Distribution

Cindy Feng, Alireza Sadeghpour, Longhai Li

Examining residuals such as Pearson and deviance residuals, is a standard tool for assessing normal regression. However, for discrete response, these residuals cluster on lines cor…

stat.ME2016★ 15 cited

Fully Bayesian Classification with Heavy-tailed Priors for Selection in High-dimensional Features with Grouping Structure

Lai Jiang, Longhai Li, Weixin Yao

Feature selection is demanded in many modern scientific research problems that use high-dimensional data. A typical example is to find the most useful genes that are related to a c…

stat.AP2016★ 5 cited

Estimating Cross-validatory Predictive P-values with Integrated Importance Sampling for Disease Mapping Models

Longhai Li, Cindy X. Feng, Shi Qiu

An important statistical task in disease mapping problems is to identify divergent regions with unusually high or low risk of disease. Leave-one-out cross-validatory (LOOCV) model…