query: How to tackle datasets where the dependent variables has around 80% 1's?
positive_passages.docid: 22316
positive_passages.text: Rare Events Logistic Regression
negative_passages.docid: 27163
negative_passages.text: What to do with random effects correlation that equals 1 or -1?
negative_passages.docid: 128778
negative_passages.text: How to deal with high correlation among predictors in multiple regression?
negative_passages.docid: 567
negative_passages.text: Regression with multiple dependent variables?
negative_passages.docid: 10782
negative_passages.text: Correlations with unordered categorical variables
negative_passages.docid: 110802
negative_passages.text: Model selection with low N?
negative_passages.docid: 130496
negative_passages.text: How do I fit a constrained regression in R so that coefficients total = 1?
negative_passages.docid: 77655
negative_passages.text: Using percentiles as predictors - good idea?
negative_passages.docid: 66348
negative_passages.text: How to calculate critical values for R for a large dataset
negative_passages.docid: 56503
negative_passages.text: Theil-Sen estimation, more than one independent variable
negative_passages.docid: 147544
negative_passages.text: Continuous dependent variable with ordinal independent variable
negative_passages.docid: 31220
negative_passages.text: Finding predictors of upper level of a variable
negative_passages.docid: 95262
negative_passages.text: Can I still use logistic regression if some variables are not applied to all the observational units?
negative_passages.docid: 102514
negative_passages.text: Generate a random variable with a defined correlation to an existing variable(s)
negative_passages.docid: 51084
negative_passages.text: Won't highly-correlated variables in random forest distort accuracy and feature-selection?
negative_passages.docid: 107315
negative_passages.text: Does random forest need input variables to be scaled or centered?
negative_passages.docid: 85751
negative_passages.text: Trouble with imputed data set