Gene-environment (GxE) interaction is one potential explanation for the missing heritability problem. A popular approach to genome-wide environment interaction studies (GWEIS) is based on regression m
Notations: π ^ , estimated probability of death; Δχ2, change in Pearson Chi-square; ΔD, change in deviance; Δ β ^ , Cook’s distance. † The number of covariate pattern is equivalent to the nu
The complexity of linear mixed-effects (LME) models means that traditional diagnostics are rendered less effective. This is due to a breakdown of asymptotic results, boundary issues, and visible patte
Model diagnostics is an indispensable component in regression analysis, yet it has not been well addressed in generalized linear models (GLMs). When outcome data are discrete, classical Pearson and de
All diagnostics given for the interrupted time series models are not significant at α = 0.05. Significance of the residual autocorrelation was tested by means of a Box-Pierce test, and the maximum aut
