query: What to do with statistically insignificant dummy/categorical variables?
positive_passages.docid: 6089
positive_passages.text: Can I ignore coefficients for non-significant levels of factors in a linear model?
negative_passages.docid: 90379
negative_passages.text: Irrelevant legend information in ggplot2
negative_passages.docid: 123148
negative_passages.text: scikit learn creation of dummy variables
negative_passages.docid: 11239
negative_passages.text: Interpreting coefficient in GLM with categorical explanatory variables
negative_passages.docid: 122557
negative_passages.text: Can covariates be categorial variables?
negative_passages.docid: 19603
negative_passages.text: Conflicting approaches to variable selection: AIC, p-values or both?
negative_passages.docid: 117050
negative_passages.text: Why do we need to discard one dummy variable?
negative_passages.docid: 39710
negative_passages.text: How to do estimation, when only summary statistics are available?
negative_passages.docid: 86254
negative_passages.text: Ordinal regression with categorical covariates and predictors
negative_passages.docid: 125509
negative_passages.text: Scikit Learn Missing Data - Categorical values
negative_passages.docid: 32585
negative_passages.text: How to use a dataset with only one category of data
negative_passages.docid: 84321
negative_passages.text: Pearson correlation of data sets with possibly zero standard deviation?
negative_passages.docid: 147006
negative_passages.text: Consequences of unbalanced subgroups of categorical variables in logistic regression?
negative_passages.docid: 27203
negative_passages.text: Omitted dummy variable coefficient in OLS
negative_passages.docid: 68135
negative_passages.text: Is it required for panel data to use dummy variables?
negative_passages.docid: 55556
negative_passages.text: Should control variables be included in model if statistically insignificant?
negative_passages.docid: 31068
negative_passages.text: How to measure correlation between categorical variable?