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 ...

Patricia M. West, Patrick L. Brockett, Linda L. Golden, A Comparative Analysis of Neural Networks and Statistical Methods for Predicting Consumer Choice, Marketing Science, Vol. 16, No. 4 (1997), pp.

Ke-Hai Yuan, Peter M. Bentler, Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data, Sociological Methodology, Vol. 30 (2000), pp. 165-200 ...

The Center for Statistics and Advance Analytics provides support to Boston College researchers related to the collection and the analysis of data. This includes Data Science, Geographic Information ...

MIST.7370 — Graduate Id: 038569 Offering: 1 Credits: 3-3 Description This course introduces statistical methods and techniques for multivariate data analysis. The course studies basic ideas underlying ...

New statistical method eases data reproducibility crisis The new tool enhances the replicability of large genomic datasets Date: March 30, 2021 Source: Penn State Summary: A reproducibility crisis ...

Learning how to perform statistical data analysis in Microsoft Excel can help you improve your analytics and reporting. This guide takes you ...