We investigate the scenario of selecting variables in both the group level and within-group level simultaneously,in the sense that at most one variable will be selected in each group.
Motivation: In large-scale genetic association studies with tens of hundreds of single nucleotide polymorphisms(SNPs)genotyped,the traditional statistical framework of logistic regression using maximu
With the help of distributed sensing and high-speed wireless communication technologies,real-time data collection in complex systems is becoming more and more common.
Multiparameter local likelihood models and generalizations have been widely applied to analyze relationship between responses and covariates in data arising from climatology,econometrics,environmetric
A common problem that is encountered in many medical applications is the comparison of two cumulative incidence functions(CIFs)in the presence of competing risks.