Correspondence analysis is an exploratory data analysis technique for the graphical display of contingency tables and multivariate categorical data. Its history can be traced back at least 50 years ...

For example, though quantitative data may suggest consumers like a company's products, the information may be overshadowed by secondary research portending better technology on the horizon.

Interpretation is central to the social scientist's process of analysis, regardless of whether that analysis relies on quantitative or qualitative data. This essay presents a "reconstructed logic" of ...

Proteomics has emerged as a critical discipline for elucidating biological mechanisms, exploring disease pathogenesis, and ...

We focus on cross-sectional contrasts, of particular importance for the design, sample-size estimation, and interpretation of RCTs. Data sources were reviewed for inclusion by two people.

Big data has valuable implications for analyzing datasets and in day-to-day clinical practice, explained Ken Cohen, MD, director of translational research for Optum Care.