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Appendix A. Diagnostic analyses of the multilevel confirmatory path analysis in Fig. 2.

NIAID Data Ecosystem2026-03-09 收录

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https://figshare.com/articles/dataset/Appendix_A_Diagnostic_analyses_of_the_multilevel_confirmatory_path_analysis_in_Fig_2_/3544148 数据链接链接失效反馈

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Diagnostic analyses of the multilevel confirmatory path analysis in Fig. 2.

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创建时间：

2016-08-05

基因-环境交互作用

统计模型诊断

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

NIAID Data Ecosystem60

Covariate patterns that do not fit or have considerable influence on estimated coefficient.

统计模型诊断

回归评估

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

NIAID Data Ecosystem30

Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners

统计模型诊断

混合效应模型

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

Figshare2017-07-27 更新30

A unified framework for residual diagnostics in generalized linear models and beyond

统计模型诊断

广义线性模型

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

Taylor & Francis Group2025-07-03 更新40

Model diagnostics.

中断时间序列分析

统计模型诊断

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

Appendix A. Diagnostic analyses of the multilevel confirmatory path analysis in Fig. 2.

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