Let us compare the two competing approaches to gene selection in a simulation experiment where the true answer is known. We will treat them solely as ranking procedures with the length of the gene ...

Length-biased time-to-event data are commonly encountered in applications ranging from epidemiological cohort studies or cancer prevention trials to studies of labor economy. A longstanding ...

Our lab has developed many data analysis workflows adapting and integrating sophisticated statistical methods to evaluate complex molecular datasets that we obtain with MS technologies. We are ...

This is a preview. Log in through your library . Abstract Historically, statistical methods have not been employed to full advantage in plant paleoecology. This is in part because some of the most ...

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 ...

This course is compulsory on the MSc in Data Science and MSc in Operations Research & Analytics. This course is available on the MSc in Health Data Science. This course is available with permission as ...

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 ...

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...

This course is compulsory on the MSc in Data Science. This course is available on the MSc in Health Data Science and MSc in Operations Research & Analytics. This course is available with permission as ...