query: Categorical logit Predictor with too many different levels
positive_passages.docid: 10256
positive_passages.text: Principled way of collapsing categorical variables with many levels?
negative_passages.docid: 118333
negative_passages.text: Predictor transformation in logistic regression
negative_passages.docid: 79636
negative_passages.text: Heteroskedasticity in logistic regression
negative_passages.docid: 10782
negative_passages.text: Correlations with unordered categorical variables
negative_passages.docid: 155274
negative_passages.text: Multicollinearity between categorical and continuous variable
negative_passages.docid: 108970
negative_passages.text: Cross tabulation of two categorical variables: recommended techniques
negative_passages.docid: 103779
negative_passages.text: Overfitting a logistic regression model
negative_passages.docid: 104756
negative_passages.text: Categorical ordinal data: which test is better?
negative_passages.docid: 144448
negative_passages.text: Understanding lack of fit in logistic regression
negative_passages.docid: 5066
negative_passages.text: Logistic Regression : 10 events per predictor rule
negative_passages.docid: 40352
negative_passages.text: Equal standard errors for all levels of a categorical factor in lmer
negative_passages.docid: 100267
negative_passages.text: Fit individual-level model on aggregate-level target-data
negative_passages.docid: 49594
negative_passages.text: Measuring accuracy of a logistic regression-based model
negative_passages.docid: 79959
negative_passages.text: Choosing between transformations in logistic regression
negative_passages.docid: 25238
negative_passages.text: Significant predictors become non-significant in multiple logistic regression
negative_passages.docid: 11786
negative_passages.text: Simple effects of categorical interaction
negative_passages.docid: 25399
negative_passages.text: Predicting with both continuous and categorical features