Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...

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Most of you will be familiar with Principal Component Analysis (PCA), used mostly in fixed income models where the first three ordered principal components, or dominant eigenvalues, are deemed to ...

Instagram is one of the top social media platforms in the world and continues to captivate users worldwide with its unique blend of visual storytelling and interactive features. Today, it’s not just a ...

Can you chip in? This year we’ve reached an extraordinary milestone: 1 trillion web pages preserved on the Wayback Machine. This makes us the largest public repository of internet history ever ...

The measurement infrastructure for the production of economic statistics in the United States largely was established in the middle of the 20th century. The data landscape has changed in fundamental ...

This three-year programme, accredited by the Royal Statistical Society, is designed for students with an interest in the powerful applications of statistics who also wish to develop their mathematical ...

Machine Learning is concerned with computer programs that automatically improve their performance through experience (e.g., programs that learn to recognize human faces, recommend music and movies, ...

While the majority of stroke researchers use frequentist statistics to analyze and present their data, Bayesian statistics are becoming more and more prevalent in stroke research. As opposed to ...

This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

This course is an introduction to principles of data analysis, including data cleaning, quality checking and visualization, statistical analysis and handling large datasets. The programming language ...