query: Fixed Effect vs Random Effect Models
positive_passages.docid: 24350
positive_passages.text: Fixed vs Random Effects
negative_passages.docid: 21500
negative_passages.text: Multiple regression or partial correlation coefficient? And relations between the two
negative_passages.docid: 109955
negative_passages.text: regression models and dummy variables
negative_passages.docid: 59171
negative_passages.text: Difference between Cohen's d and Hedges' g for effect size metrics
negative_passages.docid: 66508
negative_passages.text: Bias in estimators of population variance
negative_passages.docid: 148673
negative_passages.text: Comparison of log-likelihood of two non-nested models
negative_passages.docid: 23034
negative_passages.text: Using lmer for repeated-measures linear mixed-effect model
negative_passages.docid: 84822
negative_passages.text: Other unbiased estimators than the BLUE (OLS solution) for linear models
negative_passages.docid: 102191
negative_passages.text: Can Weights and Offset lead to similar results in poisson regression?
negative_passages.docid: 111234
negative_passages.text: Interaction in generalized linear model
negative_passages.docid: 146096
negative_passages.text: A priori power analysis for generalized linear mixed-effects model
negative_passages.docid: 30562
negative_passages.text: Does it make sense to include a factor as both fixed and random factor in a Linear Mixed Effects Model?
negative_passages.docid: 111772
negative_passages.text: Alternatives to one-way ANOVA for heteroskedastic data
negative_passages.docid: 124413
negative_passages.text: Regression to the mean vs gambler's fallacy
negative_passages.docid: 67516
negative_passages.text: How can I derive effect sizes in lme4 and describe the magnitude of fixed effects?
negative_passages.docid: 151995
negative_passages.text: Why are effect size estimates (such as $R^2$) difficult in mixed-effects models?
negative_passages.docid: 26328
negative_passages.text: Poisson or quasi poisson in a regression with count data and overdispersion?