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Department of Biostatistics

Conferences

2009 Non-Clinical Biostatistics Conference

This is the first conference in the U.S. fully devoted to non-clinical biostatistics.  It is organized by the Non-Clinical Biostatistics Leaders Forum, a group of managers of preclinical and non-clinical statistics groups at major biopharmaceutical companies, in collaboration with the Department of Biostatistics at the Harvard School of Public Health.

The meeting will be held October 21-23, 2009, at the Harvard Medical School's J. B. Martin Conference Center in Boston, in the midst of one of the premier biotechnology and medical research hubs in the U.S.  Its theme is Statistical Methodologies: Key to Discovery and Development.

See the attached flyer for more information, or visit the website.

2009 Conference in Quantitative Genomics

Since the first Conference in Quantitative Genomics at the Harvard School of Public Health in 2007, genome-wide association studies have proven fabulously successful in identifying common genetic markers associated with scores of human traits. However, for most traits the newly identified markers only account for a small fraction of genetic variance, suggesting there are other causal alleles yet to be discovered, some of which may be exceedingly difficult to identify using the current genome-wide association approach. Moreover, identifying these markers is only the first step in a journey of 10,000 li. Moving from these associations to a better understanding of causal mechanism and clinical applications presents a new set of challenges.

Hence the theme for the 2009 Conference in Quantitative Genomics: "Human Genetic Variation, Health and Disease: New Knowledge, New Quantitative Challenges." The conference will bring together researchers from multiple disciplines (including geneticists, epidemiologists, statisticians and bioinformaticians) to discuss what we have learned and what we have yet to learn from genome-wide association studies, as well as emerging techniques for studying different types of genetic variation.

Visit the website for more information.