The volumes of genetic, biodiversity, and environmental data that can be obtained from individual studies are growing at an impressive rate, as are the public repositories sharing these data. Such ...

When you use the statistical analysis features in Excel, you are leveraging one of the most powerful tools available for data manipulation and interpretation. Excel is not just a spreadsheet ...

This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

Statistical methods now being used in adaptive biomarker-driven clinical trials are reviewed. Some previous paradigms for clinical trial design can limit the development of more effective methods on ...

The rapid evolution of mass spectrometry (MS) has transformed biological research, yet the reliability of these insights depends entirely on the rigor of the applied proteomics statistics.

Members of the university community are invited to participate in a workshop on "Modern Methods for Data Analysis" from Monday, Jan. 11 through Friday, Jan. 15, from 10 a.m. to noon (EST). The ...

Rochester Institute of Technology researchers are taking on Big Data to reduce the negative impact of faulty measurements in data collected from complex sensing systems. "Based on tremendous ...

Learn the systematic process for sorting data to aid in your business decision-making. The core objective of market research is to provide evidence-based insights that decrease uncertainty and risk.