Past Events

Knowledge Discovery with Bayesian Rule Learning Methods for Actionable Biomedicine - Mr. Balasubramanian

DCEG Seminar

Discovery of precise biomarkers are crucial for improved clinical diagnostic, prognostic, and therapeutic decision-making. They help improve our understanding of the underlying physiological (and pathophysiological processes) within an individual.

Building and Leveraging Data Repositories Over 25+ Years: Creating Unique Cohort Subsets - Dr. Cullen-Meyer

DCEG Seminar

Leveraging the Cancer Prevention Study Cohorts to Clarify Breast Cancer Risk Factors - Dr. Gaudet

DCEG Seminar

Leveraging the Cancer Prevention Study Cohorts to Clarify Breast Cancer Risk Factors

Evidence for Familial Clustering of Breast Cancer Age at Onset - Dr. Weinberg

DCEG Events

Biased Sampling, Left Truncation and Survival Analysis, Lecture II - Dr. Jing Qin

Biostatistics Branch Seminar Series

Biased sampling occurs when a proper randomization cannot be achieved; in this case, the observed sample will not be representative of the population of interest. Biased sampling problems appear in many areas of research, including, medicine, epidemiology and public health, social sciences, and economics.

Biased Sampling, Left Truncation and Survival Analysis, Lecture I - Dr. Jing Qin

Biostatistics Branch Seminar Series

Biased sampling occurs when a proper randomization cannot be achieved, the observed sample will not be representative of the population of interest. Biased sampling problems appear in many areas of research, including, Medicine, Epidemiology and Public Health, Social Sciences and Economics.

Prostate Cancer Screening – Can we Improve the Balance of Benefits and Harms? - Dr. Auvinen

DCEG Special Seminar

Biostatistical Methods for Wearable and Implantable Technology (WIT) - Dr. Ciprian Crainiceanu

DCEG Seminar

Radiation Epidemiology & Dosimetry Course

The Radiation Epidemiology and Dosimetry Course is conducted periodically by the Radiation Epidemiology Branch of the NCI Division of Cancer Epidemiology and Genetics (DCEG). This course is intended for people who are interested in learning about the health effects of radiation exposure (environmental, occupational, and medical)—particularly the relationship between ionizing radiation and cancer. The next course will be offered September 9-12, 2019.

Medical and Systemic Analysis of Nation-Wide Claims Data

Biostatistics Branch Seminar Series

exploring a nation-wide claims data-set from which we derive co-morbidity networks across life-time