STK1110 gives an introduction to statistical thinking and an overview of central statistical models and methods. The students are given insight into the theoretical foundation of the methods for ...

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The course provides insight on how to formulate a problem into statistical language, how to build a statistical model, how to analyse data and how to validate results. Regession methods (that is ...

Statistical depth is a concept used in multivariate data analysis to measure the centrality of points in a dataset relative to a probability distribution. This approach allows researchers to rank ...

Embarking on a research project particularly at the graduate level can be an overwhelming experience Whether youre working on a research proposal dissertation or data analysis the stakes are high and ...

Abstract: Whenever we measure any physical quantity we customarily obtain as many different values as there are observations. From a consideration of these measurements we must determine the most ...

Interval-censored failure time data arise in various fields, including medicine and epidemiology, where the exact time of an event (like failure or death) is not known but is instead bounded ...

Choosing the right statistical tools for your data analysis is a critical step in data science. It's about understanding your data, the questions you're trying to answer, and the statistical ...

Financial analysis is the process of examining financial statements and other relevant data to assess the financial health and performance of an organization. Modern financial analysis uses the ...

A team of researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital ...