Now showing items 1-4 of 4
Sample Size Planning For Detecting Treatment Effect On Biomarker Subset
A vast amount of research has been done on treatment and biomarker interactions, with the hope to recognize a subset of patients that will respond better to new treatments. In particular, Jiang et al. (2007) were interested ...
A New Approach in Survival Analysis with Longitudinal Covariates
In this study we look at the problem of analysing survival data in the presence of longitudinally collected covariates. New methodology for analysing such data has been developed through the use of hidden Markov modeling. ...
Marginal Models for Modeling Clustered Failure Time Data
Clustered failure time data often arise in biomedical and clinical studies where potential correlation among survival times is induced in a cluster. In this thesis, we develop a class of marginal models for right censored ...
Nonparametric Testing Methods for Treatment-Biomarker Interaction based on Local Partial-Likelihood
A fair amount of research has been done on the interactions between treatment and biomarkers hoping to avoid failure to recognize effective agents which benefit only a subset of patients in traditional clinical designs ...