query: Assessing potential multicollinearity for various model types meant for causal inference
positive_passages.docid: 17982
positive_passages.text: In plain language, why is there no VIF for binary outcome regression models?
negative_passages.docid: 58063
negative_passages.text: Assumptions of generalised linear model
negative_passages.docid: 109272
negative_passages.text: Crossed vs nested random effects: how do they differ and how are they specified correctly in lme4?
negative_passages.docid: 95525
negative_passages.text: Is it beneficial/feasible to use kenward-roger/satterthwaite degrees of freedom in generalized estimating equations?
negative_passages.docid: 9119
negative_passages.text: Multiple logistic regression power analysis
negative_passages.docid: 146096
negative_passages.text: A priori power analysis for generalized linear mixed-effects model
negative_passages.docid: 140391
negative_passages.text: Minimum sample size per cluster in a random effect model
negative_passages.docid: 118772
negative_passages.text: Is R-squared value appropriate for comparing models?
negative_passages.docid: 116581
negative_passages.text: Quadratic models with R. The use of poly(..) and I(..) functions (R-language)
negative_passages.docid: 90880
negative_passages.text: Linear mixed-effects modeling with twin study data
negative_passages.docid: 116362
negative_passages.text: Is PCA unstable under multicollinearity?
negative_passages.docid: 12444
negative_passages.text: Multivariate linear regression vs. several univariate regression models
negative_passages.docid: 123720
negative_passages.text: Using multinom() and glm() functions in R to determine at what extent multiple factorial variables influence the outcome. Get different results
negative_passages.docid: 104487
negative_passages.text: Finding Bias$(s^2)$ in incorrect linear model
negative_passages.docid: 148947
negative_passages.text: Alternatives to the Baron-Kenny approach to modeling mediation
negative_passages.docid: 81547
negative_passages.text: Effect of switching response and explanatory variable in simple linear regression
negative_passages.docid: 72809
negative_passages.text: GLMM multilevel (hierarchical) model