Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

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 ...

Introduces exploratory data analysis, probability theory, statistical inference, and data modeling. Topics include discrete and continuous probability distributions, expectation, laws of large numbers ...

In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding to the ...

and adapt modern statistical methods suited to large-scale data. 'Non-asymptotic, high-dimensional theory is critical for modern statistics and machine learning. This book is unique in providing a ...

Analysis of genome-wide spatial transcriptomics data reveals cell-type specific subcellular RNA localization, and a subset of genes show significantly high correlation between spatial patterning and 3 ...

Researchers from Duke-NUS Medical School benchmarked federated learning methods to enhance privacy-preserving medical ...

Benefit from a thorough training in advanced quantitative methods taught within an applied social science framework. Learn methods of data analysis, including advanced statistics for complex data.

1 in the Journal of the American Statistical Association. The co-author is Bohan Wu, now a Ph.D. student at Columbia ...

providing high-quality training in statistical and computational methods that are applicable to low-, middle- and high-income settings. As a medical statistician or health data scientist you will play ...