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资源简介：
Omnibus tests of model coefficients.
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创建时间：
2021-04-29
相关数据集
Quick assessment for systematic test statistic inflation/deflation due to null model misspecifications in genome-wide environment interaction studies
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
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Covariate patterns that do not fit or have considerable influence on estimated coefficient.
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
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Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners
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
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A unified framework for residual diagnostics in generalized linear models and beyond
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
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Model diagnostics.
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
Figshare2015-12-02 更新30
