1 citations · 1 across the 2 of their papers we have counts for
5 papers
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…
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…
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…
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…
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…