Here we present a sample workflow for analyzing assay-endpoint readouts from high-throughput RNAi screening data with guidance on choice and application of relevant statistical methods.

This course covers most frequently used statistical methods for data analysis. In addition to the standard inference methods such as parameter estimation, hypothesis testing, linear models and ...

This Collection welcomes primary research articles describing advances in computational and statistical methodology for ecology and evolution.

304-0IEMS 304: Statistical Learning for Data Analysis VIEW ALL COURSE TIMES AND SESSIONS Prerequisites IEMS 303 or equivalent; CS 150 or equivalent Description Predictive modeling of data using modern ...

Historically, statistical methods have not been employed to full advantage in plant paleoecology. This is in part because some of the most useful methods can be found only in the technical statistical ...

Study of the effect of transitions on individual and family outcomes is central to understanding families over the life course. There is little consensus, however, on the appropriate statistical ...

An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description and statistical inference including an introduction to study design, ...

Bachelor of Arts in Statistics & Data Science Our students become well-rounded critical thinkers who understand statistical methods and cutting-edge data analysis, and who go on to enjoy careers as ...