A multiple testing procedure for clustered signals. By aggregating information, this method is more sensitive to
detecting signals of low magnitude than standard methods.
[link]
highTtest
Simultaneous critical values for t-tests in very high dimensions. This can be applied in two group analysis
of genomic data.
[link]
AsynchLong
Estimation of regression models for sparse longitudinal observations, where time-dependent response and covariates
are mismatched and observed intermittently within subjects.
[link]
SurvLong
Kernel weighting method for estimation of proportional hazards models with intermittently observed
longitudinal covariates.
[link]
ACE.CoCo
A multiple testing procedure for data exhibiting strong dependence, where factor adjusted one sample test
and two sample tests are developed.
[link]
STAREG
A robust and powerful approach for replicability analysis of two studies for high-throughput experimental data.
[link]