query: Chi Square and t test to select variables for logistic regression
positive_passages.docid: 25539
positive_passages.text: Algorithms for automatic model selection
negative_passages.docid: 78109
negative_passages.text: If and how to use one-tailed testing in multiple regression
negative_passages.docid: 103779
negative_passages.text: Overfitting a logistic regression model
negative_passages.docid: 99504
negative_passages.text: Why is chi square used when creating a confidence interval for the variance?
negative_passages.docid: 141825
negative_passages.text: Maximize log-likelihood of logistic regression
negative_passages.docid: 114028
negative_passages.text: Obtaining predicted values (Y=1 or 0) from a logistic regression model fit
negative_passages.docid: 5301
negative_passages.text: F test and categorical variables
negative_passages.docid: 19194
negative_passages.text: Chi-squared test when two vectors have different lengths
negative_passages.docid: 112590
negative_passages.text: How to deal with multicollinearity when performing variable selection?
negative_passages.docid: 84290
negative_passages.text: Testing for coefficients significance in Lasso logistic regression
negative_passages.docid: 91776
negative_passages.text: Understanding which features were most important for logistic regression
negative_passages.docid: 97161
negative_passages.text: How can I consistently get a good logistic regression fit?
negative_passages.docid: 96379
negative_passages.text: Choosing the appropriate statistical test
negative_passages.docid: 97857
negative_passages.text: Multinomial logit regression with ordinal independent variables
negative_passages.docid: 82287
negative_passages.text: Choosing between $z$-test and $t$-test
negative_passages.docid: 113672
negative_passages.text: Different ways to produce a confidence interval for odds ratio from logistic regression
negative_passages.docid: 108818
negative_passages.text: High p-values for logistic regression variable that perfectly separates?