Overview | geemaee() examples: matrix-adjusted GEE for estimating the mean and correlation parameters in SW-CRTs | Simulated dataset with 12 clusters and 4 periods | Simulated dataset with 12 clusters and 5 periods | geemaee() examples: matrix-adjusted GEE for estimating the mean and correlation parameters in SW-CRTs when some clusters had only 1 observation | Simulated dataset with 12 clusters and small cluster sizes | Simulated dataset with 12 clusters and large cluster sizes | geemaee() examples: matrix-adjusted GEE for estimating the mean and correlation parameters in general CRTs | geemaee() examples: matrix-adjusted GEE for estimating the mean and correlation parameters in SW-CRTs with all cluster-period sizes being 1 | cpgeeSWD() examples: cluster-period GEE for estimating the marginal mean and correlation parameters in cross-sectional SW-CRTs | simbinPROBIT() example: generating correlated binary data using the multivariate probit method | simbinCLF() example: generating correlated binary data using the conditional linear family method | Session Information | References

Overview | Design: covariate-constrained randomization | cvrall() example for covariate-constrained randomization | cvrall() example for stratified constrained randomization | cvrcov() example for covariate-by-covariate constrained randomization | Analysis: clustered permutation test | cptest() example | Session Information | References