Statistical analysis of time-to-event data with noncompliance in randomized clinical trials
We would like to apply and use the Colorectal and Prostate data from the PLCO study, which, we promise, are only used for scientific research.
Our reseach interests are mainly focused on survival analysis, logitudianl data analysis and high dimensional data analysis.
Therefore, by the PLCO data, we would like to develop novel statistical methods for the analysis of interval-censored data, noncompliance in randomized study and variable selection problem.
I think our work may provide a new insight for the analysis of interval censored data with data that are always ignored in practice, and also may help find some useful factors in reducing the risk of PLCO cancer occurrence or may be benifit for the early detection of the cancer.
Develop novel statistical methods for the interval-censored data with noncompliance.
Develop variable selection methods for the survival data with complex features.
Develop R packages that may help the researchers use our proposed methods.
Limin Peng Emory University