A new publication by two University of Cincinnati researchers contends that adjusting how researchers approach their ...

Key Points Non-parametric tests are used when standard assumptions are not available. These tests don’t rely on distributions ...

Several methods for RNAi HTS data analysis have been developed specifically with these issues in mind. The statistical methods outlined here, while certainly not comprehensive, offer effective ...

They will also ensure that students learn about the different methods of statistics and data analysis, as assessed later on the examination. Indicative reading. All of Statistics, by Larry Wasserman, ...

In this paper, we describe modern statistical methods for presentation of the results of studies of bone marrow transplantation. We focus here on ‘univariate’ or unadjusted techniques to ...

A Bayesian statistics-based method derives unprecedented exact integral formulas, allowing future applications in various areas, including genetic analysis Date: September 13, 2022 ...

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 ...

PICATINNY ARSENAL, N.J.--In case you've forgotten the adage that "uncertainty is the only certainty," Picatinny Arsenal's Statistics Group is prepared to remind you. Its latest initiative known as ...

Statistical analysis - this aspect of quantitative analysis involves examining data to identify trends and relationships, build predictive models, and make forecasts. Techniques used can include ...

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 ...