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cancer prevention |
COLLOQUIUM |
Selecting the Appropriate Distribution for a Primary AnalysisPeter A. Lachenbruch, Ph.D.Speaker Dr. Lachenbruch is retired Director of the Division of Biostatistics at FDA/CBER. He is currently a part-time reviewer in that division. Learning Objective To understand the effects of incorrect assumptions about the distribution of the response in a clinical trial; to illustrate the effects of outliers on the analyses in a clinical trial. This will show the results of a reanalysis of data from a published paper in which the authors ignored these issues and also used inappropriate statistical methods for developing the model. Target Audience Researchers and clinicians actively involved in topics that relate to cancer prevention and control Date/Time/Place Wednesday, April 5, 2006, 11:00 a.m. For Additional Information 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