query: Can I use binary variables in logistic glm in R?
positive_passages.docid: 147243
positive_passages.text: Modelling a binary response variable with a binary explanatory variable
negative_passages.docid: 103181
negative_passages.text: Input format for response in binomial glm in R
negative_passages.docid: 107667
negative_passages.text: How to retrieve correlation matrix from glm models in R
negative_passages.docid: 119563
negative_passages.text: How to build a Mixed Effects Logistic regression Model?
negative_passages.docid: 106415
negative_passages.text: Can binary data be ordinal?
negative_passages.docid: 86632
negative_passages.text: Only binary predictors -- ANOVA, regression, or other?
negative_passages.docid: 31039
negative_passages.text: How can logistic regression have a factorial predictor and no intercept?
negative_passages.docid: 45578
negative_passages.text: How to use both binary and continuous variables together in clustering?
negative_passages.docid: 147006
negative_passages.text: Consequences of unbalanced subgroups of categorical variables in logistic regression?
negative_passages.docid: 76788
negative_passages.text: Interpreting logistic regression output in R
negative_passages.docid: 159012
negative_passages.text: Do I need a balanced sample (50% yes, 50% no) to run logistic regression?
negative_passages.docid: 31300
negative_passages.text: Does an unbalanced sample matter when doing logistic regression?
negative_passages.docid: 7838
negative_passages.text: Coding categorical variables for regression
negative_passages.docid: 121868
negative_passages.text: Logistic regression residual analysis
negative_passages.docid: 98625
negative_passages.text: theoretical basis for logistic regression
negative_passages.docid: 25044
negative_passages.text: ANOVA on binomial data
negative_passages.docid: 34324
negative_passages.text: How would you deal with a bimodally distributed predictor variable in bivariate logistic regression?