According to a 2020 Microstrategy survey, 94% of enterprises report data and data analytics are crucial to their growth strategy. And yet, surprisingly, as much as 73% of the data that enterprises ...

In this article, we introduced correspondence analysis, which analyzes associations in categorical data, and showed how it helps to analyze categorical data beyond a contingency table by ...

Two regression models for the analysis of ordered categorical data, the proportional odds model and the stereotype model, are used to analyse the data. Differences between the models with respect to ...

Importantly, the data set for the analysis utilized the full Intent-to-Treat population of 240 patients (for additional details, please refer to slides in the recently issued 6-K filing).

The course will include a broad overview of three areas: categorical, ordinal, and count methods with proportional odds model and Poisson regression; survival analysis and event outcome data with ...

Aitchison & Aitken (1976) described a kernel method of estimating the cell probabilities of a multivariate categorical distribution. The criterion for choosing the smoothing parameter is shown to be a ...

RSAN 120 Statistics and Data Analysis This course presents fundamental principles of statistics in the context of business-related data analysis and decision making, including methods of summarizing ...