Crossvalidation in complex survey data
Explores experimental cross-validation methods for complex survey data using replicate-weight decompositions to respect sampling structure.
Explores experimental cross-validation methods for complex survey data using replicate-weight decompositions to respect sampling structure.
Explains the correct and incorrect methods for analyzing subsets in survey data, focusing on statistical inference and standard error calculations.
Explores defining and computing design-based pseudo-R-squared statistics for logistic regression models under complex survey sampling, like case-control designs.