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Discovering the causes of cancer and the means of prevention

Past Events

  • Chasing Rainbows: Building a Career in Sexual and Gender Minority Health Equity Science - Dr. Kamen

    Fellows' Cancer Health Disparities Interest Group

    Dr. Kamen's research has focused on factors that lead to health disparities among sexual and gender minority populations, specifically disparities in cancer-related health outcomes and psychological distress

    February 18, 2020 | 10:00 AM – 11:00 AM
    NCI Shady Grove 2E032/034 Rockville, Maryland
  • Statistically Consistent Saliency Estimation - Dr. Barut

    Biostatistics Branch Seminar Series

    February 5, 2020 | 10:30 AM – 11:30 AM
    NCI Shady Grove 6E032/034 Rockville, Maryland
  • Emerging Cancer Health Disparities - Dr. Gomez

    Descriptive Epidemiology Seminar Series

    Dr. Scarlett Lin Gomez is an epidemiologist with research interests in the role of social determinants of health, including race/ethnicity, socioeconomic status, gender, immigration status, sociocultural factors, and neighborhood contextual characteristics, on health outcomes.

    January 23, 2020 | 10:30 AM – 11:30 AM
    NCI Shady Grove Seminar TE406 Rockville, M.D.
  • Diet and Cancer: Harnessing Emerging Technologies to Advance Etiologic Research and Improve Nutritional Assessment - Dr. Loftfield

    DCEG Stadtman Seminar

    Diet and Cancer: Harnessing Emerging Technologies to Advance Etiologic Research and Improve Nutritional Assessment

    January 22, 2020 | 11:00 AM – 12:00 PM
    NCI Shady Grove 2W910/912 Rockville, M.D.
  • Comparing Alternatives for Estimation from Nonprobability Samples - Dr. Valliant

    Biostatistics Branch Seminar Series

    Three approaches to estimation from nonprobability samples are quasi-randomization, superpopulation modeling, and doubly-robust estimation. In the first, the sample is treated as if it was obtained via a probability mechanism but, unlike in probability sampling, that mechanism is unknown. Pseudo selection probabilities of being in the sample are estimated by using the sample in combination with some external data set that covers the desired population.

    January 22, 2020 | 10:30 AM – 11:30 AM
    NCI Shady Grove 1W032/034 Rockville, Maryland
  • Measuring the Mortality Reductions Produced by Organized Cancer Screening: A Principled Approach - Dr. Hanley

    Biostatistics Branch Seminar Series

    In cancer screening trials and population-based comparisons, mortality reductions are usually summarized by an overall (single-number) mortality reduction. This proportional hazards model is logically untenable. I describe a model Liu et al. (IntStatRev2015) for the expected reductions in each (Age,Year) cell of a Lexis diagram.

    January 14, 2020 | 3:00 PM – 4:00 PM
    NCI Shady Grove 6E032/034 Rockville, M.D.
  • Analysis of Extreme Conditional Quantiles - Dr. Wang

    Biostatistics Branch Seminar Series

    An important problem in many fields is the modeling and prediction of events that are rare but have significant consequences. Unexpectedly heavy rainfall, large portfolio loss, and dangerously low birth weight are some examples of rare events.

    January 7, 2020 | 10:30 AM – 11:30 AM
    NCI Shady Grove 7E032/034 Rockville, M.D.
  • Molecular Epidemiology of Gynecologic Cancers: Moving Etiology Findings to Clinical Applications - Dr. Clarke

    DCEG Stadtman Seminar

    Moving etiologic findings to clinical applications

    January 7, 2020 | 9:30 AM – 10:30 AM
    NCI Shady Grove 2W910/912 Rockville, M.D.
  • "The Tragedy of the (Data) Commons" - Dr. Hendler

    DCEG Seminar

    The tragedy of the commons, first proposed by William Lloyd in 1833, is an economic problem in which every individual has an incentive to consume a resource at the expense of every other individual with no way to exclude anyone from consuming. It results in overconsumption, under investment, and ultimately depletion of the resource.

    January 6, 2020 | 1:00 PM – 2:00 PM
    NCI Shady Grove 2W910/912 Rockville, M.D.
  • Computational Biology of DNA-Repair in Adult and Pediatric Cancers - Dr. Glodzik

    We extended the computational methods for analysis of mutation signatures in order to describe patterns of chromosomal rearrangements. In particular, the rearrangement signatures enable the assessment of proficiency of homologous recombination (HR). HRDetect, an algorithm we developed, predicts probability of HR-deficiency, and is based on holistic portrayal of mutational signatures across different classes of somatic mutations.

    January 2, 2020 | 11:38 AM – 11:38 AM