Behavioral variability is quietly sabotaging clinical trials—but it doesn't have to. Here's how predictive behavioral modeling can improve trial design, reduce dropout, and deliver more inclusive, ...

Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness inherent ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

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 testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

This is a preview. Log in through your library . Abstract Continuous and factor explanatory variables are both important in linear regressions. To fit a linear model using factor variables, the ...

Microsoft Excel can perform numerous statistical functions, as well as create charts from statistical data. Statistical data includes numeric variables or word variables, also called categorical ...

An international team of mathematicians, led by Lehigh University statistician Taeho Kim, has introduced an innovative method ...