Single Reader Between-Cases AUC Estimator in Nested Data
person(given = "Hongfei",
family = "Du",
role = c("aut", "cre"),
email = "hongfei@gwmail.gwu.edu",
comment = c(ORCID = "0000-0002-0633-594X"))
This R package provides a calculation of between-cases AUC estimate, corresponding covariance, and variance estimate in the nested data problem.  Also, the package has the function to simulate the nested data. The calculated between-cases AUC estimate is used to evaluate the reader's diagnostic performance in clinical tasks with nested data. For more details on the above methods, please refer to the paper by H Du, S Wen, Y Guo, F Jin, BD Gallas (2022) <doi:10.1177/09622802221111539>.

Modeling and Generating Synthetic Versions of Nested Categorical
Data in the Presence of Impossible Combinations
Quanli Wang, Olanrewaju Akande, Jingchen Hu, Jerry Reiter and Andres Barrientos
This tool set provides a set of functions to fit the nested Dirichlet process mixture of products of multinomial distributions (NDPMPM) model for nested categorical household data in the presence of impossible combinations. It has direct applications in generating synthetic nested household data.

Modeling, Imputing and Generating Synthetic Versions of Nested
Categorical Data in the Presence of Impossible Combinations
This tool set provides a set of functions to fit the nested Dirichlet process mixture of products of multinomial distributions (NDPMPM) model for nested categorical household data in the presence of impossible combinations. It has direct applications in imputing missing values for and generating synthetic versions of nested household data.
stats, coda, dplyr, Rcpp (>= 0.12.0), RcppParallel

Survival Analysis for Cohorts with Missing Covariate Information
Estimate hazard ratios, standardized survival and attributable risks for cohorts with missing covariates, for Cox models or Kaplan-Meier.

Estimate hazard ratios, survival curves and attributable
risks for cohorts with missing covariates, using Cox models or
Kaplan-Meier estimated for strata.  This handles studies nested
within cohorts, such as case-cohort studies with stratified
sampling.  See
http://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf