The DCEG Visiting Scholars Program brings leaders in the field of cancer epidemiology and genetics to NCI to share their expertise with scientific staff.
See upcoming and past scholars' visits
Biostatistics Branch Seminar Series
June 13, 2019 10:30 AM - 11:30 AM
Using Novel Methods to Understand How Distinct Behaviors Impact Health
June 12, 2019 10:30 AM - 11:30 AM
In this talk, the speaker proposes a novel method for individualized treatment selection when the treatment response is multivariate. This method covers multiple (any number) of treatments and it can be applied for a broad set of models. The key idea to handle multivariate response is to employ a rank aggregation technique to estimate an ordering of treatments based on ranked lists of treatment performance measures such as smooth conditional means and conditional probability of a response for one treatment dominating others. An empirical study demonstrates the performance of the proposed method in ﬁnite samples. Finally, the procedure will be illustrated using a real-life dataset on a HIV clinical trial.
June 06, 2019 10:30 AM - 11:30 AM
As of January 1, 2019, there is no longer a requirement for investigators to submit a request for determination by the NIH Office of Human Subjects Research (OHSR) when they are conducting research activities with only de-identified data or biospecimens and have no access to identifiers or the code key. Dr. Savage will present the implications of this new policy for both new and currently ssIRB/OHSRP approved DCEG studies. All are highly encouraged to attend to learn about the new DCEG internal processes.
June 05, 2019 10:30 AM - 11:30 AM
The advent of single-cell sequencing provides the ability to model clonal evolution of tumors within individual patients. Inference of such within-patient tumor phylogenies has the potential to advance the authors understanding of the variation in the process of tumor progression, with strong clinical implications. Here the authors consider the problem of rapid and robust inference of the tumor phylogeny from a sample of single-cell genotype data under a Markov model that incorporates error in the observed sequencing process.
June 03, 2019 11:00 AM - 12:00 PM
Despite having one of the lowest somatic mutation burdens of any type of cancer, we show that rhabdoid tumors are highly infiltrated in many patients. Integrative profiling of human tumors and genetically engineered mouse models of rhabdoid tumor, including single cell RNA and TCR sequencing, highlight immunosuppressive macrophage populations and clonally expanded resident memory T cells.
May 29, 2019 10:30 AM - 11:30 AM
The authors propose a general Bayesian nonparametric (BNP) approach to causal inference in the point treatment setting. The joint distribution of the observed data (outcome, treatment, and confounders) is modeled using an enriched Dirichlet process. The combination of the observed data model and causal assumptions allows us to identify any type of causal effect - differences, ratios, or quantile effects, either marginally or for subpopulations of interest.
May 20, 2019 9:00 AM - May 21, 2019 5:00 AM
May 17, 2019 11:00 AM - 12:00 PM