Events

The program hosts a variety of seminar series and other events throughout the year including the Big Data Seminar, the Quantitative Issues in Cancer Research Working Seminar, the Environmental Statistics Seminar, and the Program in Quantiative Genomics Seminar.

 


PO1 Retreats

2013

The 2013 PO1/Environmental Statistics Retreat took place on Friday, October 18th at Wellesley College Club, in Wellesley, MA. AGENDA

2012

The 2012 PO1/Environmental Statistics Retreat took place on Friday, October 12th at Wellesley College Club, in Wellesley, MA. AGENDA

2011

The 2011 PO1/Environmental Statistics Retreat took place on Friday, October 14th at Emerson by the Sea, in Rockport, MA. AGENDA

2010

The 2010 PO1/Environmental Statistics Retreat took place on Saturday, September 25th at Emerson by the Sea, in Rockport, MA. AGENDA

2009

The 2009 PO1/Environmental Statistics Retreat took place on Friday, October 2nd at Emerson by the Sea, in Rockport, MA. AGENDA

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Seminars

PO1 investors take a lead in organizing the following seminar series to promote statistical research in cancer and the dissemination of the PO1 findings:

Big Data Seminar This working seminar focuses on statistical and quantitative methods for analyzing correlated and high-dimensional data. High dimensional data arise from a wide range of studies in health science research, such as micro-array gene expression studies, proteomics, array CGH studies, genome-wide association studies. We discuss recent developments in statistical and quantitative methodology for analyzing high-dimensional data and interesting biomedical applications with high-dimensional data that could motivate new methodological research. The goal of this seminar is to stimulate more research in this challenging and important area and to promote interface of statistics and other quantitative disciplines in biomedical research.

Quantitative Issues in Cancer Research Working Seminar There are more than one million new cancer cases every year in the United States. An additional 5-8 million people are living with cancer. Research on cancer has greatly influenced the development of statistical methods in the past two decades and is likely to continue to do so in the future. This working seminar will be a forum for the discussion of current methodologic developments as well as cancer research having a strong quantitative basis. The working seminars will include expository reviews of special topics as well as the presentation of new research. All students and faculty are invited to attend and participate.

Environmental Statistics Seminar This seminar focuses on statistical issues related to assessing environmental effects on human health and analyzing environmental data in general. Specific areas of interest include air pollution epidemiology, exposure assessment, teratology, fertility and reproduction, respiratory studies, and community-based research as well as general topics such as errors-in-variables models, missing data methods, hierarchical modeling, smoothing, and methods for correlated data such as longitudinal and spatial data analysis. The seminars are generally pitched at a level that encourages student participation. Students interested in receiving credit for attending the seminars may sign up with individual faculty members for some guided readings on a special topic. Please see Chris Paciorek for details.

Program in Quantitiatve Genomics Seminar The aim of the PQG Seminar Series is to encourage the exchanging of ideas, promote interaction, collaboration, and research in quantitative genomics. It also aims to promote the mission of the PQG which is to improve health through an interdisciplinary study of genetics, behavior, environment and medicine. The seminar series looks to include the development and application of quantitative methods, especially for high-dimensional data, as well as a focus on the training of quantitative genomic scientists.

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Short Courses

PQG short courses The PO1 project works with the PQG group to offer short courses on a variety of topics. These courses can be found on the PQG website.

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Copyright by Xihong Lin, 2011