Search

Estimating the parameters of a regression model of interest is complicated by missing data on the variables in that model. Multiple imputation is commonly used to handle these missing data. Joint model multiple imputation and...

compatibility Gibbs sampler chained equations congeniality informative margins linear discriminant analysis log linear model missing data Algorithms Bias Biomedical Research Data Interpretation Statistical Models Statistical Randomized Controlled Trials as Topic Regression Analysis

discriminative feature extraction fMRI graph feature learning vector quantization learning with privileged information linear discriminant analysis supervised metric learning