AND CONTROL |
COLLOQUIUM |
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Dr. Cai is an Assistant Professor, Dept of Biostatistics, Harvard University, Boston, MA |
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To become acquainted with the use of the mean absolute deviation between observed and expected response as a measure of model adequacy. To become acquainted with the form that the above adequacy measure takes in the case that the outcome is binary and in the case that the outcome is a censored event time, and corresponding error distributions. To become acquainted with techniques for approximating the distribution of the difference of the estimated prediction errors from two competing models via real data examples and simulation studies. |
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Researchers and clinicians actively involved in topics that relate to cancer prevention and control |
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Wednesday, June 7, 2006, 11:00 am |
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Office of Preventive
Oncology |
If you are a person with a disability and require any assistive device, services or other reasonable accommodation to participate in this activity, please contact the Office of Preventive Oncology at 301-496-8640 at least one week in advance of the lecture date to discuss your accommodation needs.
Educational objectives: To better comprehend current research in various aspects of cancer prevention and control, including current challenges and methods used by investigators to address gaps, advance the field, and promote application of successful strategies, and to better identify various bio-statistical methods and appropriate conditions for application in cancer prevention and control research.
The National Institutes of Health/Foundation for Advanced Education in the Sciences (NIH/FAES) is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The NIH/FAES designates this educational activity for a maximum of 40 category 1 credits toward the AMA Physicians Recognition Award. Each physician should claim only those credits that he/she actually spent in the activity.
Department of Health and Human Services, National Institutes of Health
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