127 citations · 176 across the 6 of their papers we have counts for
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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…
Approximating Cross-validatory Predictive Evaluation in Bayesian Latent Variables Models with Integrated IS and WAIC
Longhai Li, Shi Qiu, Bei Zhang +1
A natural method for approximating out-of-sample predictive evaluation is leave-one-out cross-validation (LOOCV) --- we alternately hold out each case from a full data set and then…