Past Events

Accessible Artificial Intelligence for Cancer Research

DCEG Events

Artificial intelligence (AI) has finally emerged as a useful tool for big data analytics. This is due to decades of research that have provided powerful algorithms and the availability of plentiful computing resources. Despite these advances, AI is not widely accessible due to a steep learning curve and the expense and black box nature of software provided by commercial vendors such as IBM.

Assessing and Utilizing Reproducibility of High-Throughput Experiments - Dr. Qunhua Li

DCEG Events

Assessing and utilizing reproducibility of high-throughput experiments

Physical Activity and Cancer: Epidemiology and Mechanisms - 2019 Arthur Schatzkin Lecture

DCEG Events

"Physical Activity and Cancer: Epidemiology and Mechanisms," Michael Letizemann Delivers 2019 Arthur Schatzkin Memorial Lecture

Incorporating American Community Survey Uncertainty into Disease Mapping Models - Dr. Lance Waller

DCEG Events

The ACS provides a rolling sample of the U.S. population and provides small area estimates for specific time periods and with measures of error.

Genomic-Based Treatment Advances in Waldenström’s Macroglobulinemia - Dr. Steven Treon, Dr. Zachary Hunter

DCEG Events

Waldenstrom’s Macroglobulinemia

Questionnaires in the New DCEG Connect Cohort: Update on the Baseline Questionnaire and Opportunities for Future Assessments

DCEG Events

Questionnaires in the New DCEG Connect Cohort-Update on the Baseline Questionaire and Opportunities for Future Accessments

2019 American Association for Cancer Research (AACR) Annual Meeting

DCEG Events

Several DCEG scientists will present their research at the AACR Annual Meeting in Atlanta, Georgia, between March 29 - April 03, 2019. Jackie Lavigne, Ph.D., M.P.H., Chief of the Office of Education, will be available to answer questions about DCEG fellowship opportunities at the NCI exhibit booth (#2111) on Monday, April 1 from 9:00 AM - 11:00 AM.

Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts - Dr. Donna Ankerst

DCEG Events

The Prostate Biopsy Collaborative Group (PBCG) collects prostate cancer risk factors and biopsy outcomes from multiple international centers with the objective to improve biopsy decision-making. The authors recently developed a global risk prediction model for outcomes on prostate biopsy, and posted it online for worldwide use. Construction of the logistic regression model required integrating data from 8492 biopsies from ten diverse centers across North America and Europe.

Receiver Operating Characteristic (ROC) Curves in their New Habitats - Albert Vexler

DCEG Events

Receiver operating characteristic (ROC) curve based techniques are well-established tools in biostatistics for evaluating the ability of biomarkers to discriminate between populations.
The authors consider how ROC curve based organisms can reside in areas of p-values, statistical tests’ comparisons, compound test-statistics’ developments and measures of dependence between random variables with depicting complex structures of variables’ associations.
Naturalizing ROC curve-type entities, the authors assemble novel, correct and efficient mechanisms for testing and measuring procedures in various statistical frameworks

Inheritable Cancer - Sharon Savage, M.D. and W. Marston Linehan, M.D.

DCEG Events