Nonoverlap proportion and the point-biserial association problem

Stanley Luck has a general interest in mathematical problems and associated algorithms for cloud computing technology.

Dr Stanley Luck, a statistics consultant and founding member of Vector Analytics LLC, has developed a novel algorithm for cloud computing technology. Dr Luck demonstrates the use of his improved CART association algorithm in a high-dimensional search problem of nursing home performance, based on the publicly accessible Nursing Home Compare (NHC) database. The results highlight the importance of constructing a […]

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Statistics in the era of COVID-19: Measuring lockdowns with doubling time

graph and clock design

The key to understanding SARS-CoV-2 (COVID-19) transmission is understanding the exponential growth of viral transmissions. The problem is that the concept of exponential growth is challenging for many to understand and interpret, including policymakers who need to make quick and informed decisions. Dr Biljana Stangeland, Executive Director/Chief Scientific Officer at Alv B, Norway, has been using doubling time – the […]

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To Test, Or Not To Test – The COVID-19 Question

The research showed that countries with a higher health expenditure identify more positive cases and deaths.

Dr Cristina Isabel Ibarra-Armenta is a lecturer at the Autonomous University of Sinaloa and UNICAF University. Dr Moisés Alejandro Alarcon-Osuna is a lecturer at the University of Guadalajara, and a member of the Mexican System of National Researchers from CONACYT (National Council for Science and Technology). Their research focuses on econometrics, regional analysis, and policy and technology change. In a […]

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ILLMO: A new platform for interactive statistics

Jean-Bernard Martens, a Full Professor on Visual Interaction with the Department of Industrial Design of the Eindhoven University of Technology, Netherlands, has developed ILLMO (Interactive Log Likelihood MOdeling), a statistical modelling tool that provides an interactive environment offering an intuitive and interactive approach to statistics. Scientists and researchers, including those who are not specialists in statistics, can access modern statistical […]

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Regression models using parametric pseudo-observations

The statistical analysis of survival data is the focus of research being carried out by Martin Nygård Johansen.

The statistical analysis of survival data is the focus of research being carried out by Martin Nygård Johansen, a biostatistician at Aalborg University Hospital, Denmark, and his colleagues. Some patients’ actual survival times are not observed during a clinical study and are said to be censored. This research offers a new way to transform such time-to-event data into a dataset without censoring. […]

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Consciously calculating unconscious bias: The role of dichotomous valuation

When making a decision, the first chooser has the privilege of first-mover advantage.

Like with any choice, when faced with data selection, people are influenced by their own biases. A new research paper by econometric expert Dr Xingwei Hu of the International Monetary Fund evaluates how people subconsciously view different variables and the way this influences their decision-making. By assessing decisions through dichotomous valuation, Dr Hu is able to show the extent to […]

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#SocialScience: Mining Twitter for Social and Behavioural Research

Twitter is a rich and timely resource for social and behavioural research.

A disaster strikes, somewhere in the world. Within minutes there are millions rushing to their screens, letting out their thoughts and feelings. This makes Twitter, along with other social platforms, a rich and timely resource for social and behavioural research. Surprisingly, however, it is a lot less utilised in the social sciences compared with other fields. Tweeters don’t reflect the […]

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An integrated toolkit for high-dimensional complex and time series data analysis

high An integrated toolkit for high-dimensional complex and time series data analysis

Big data can be too large and complex for traditional methods and conventional software packages to deal with. Dr Fang Han, Assistant Professor in Statistics at the University of Washington, Seattle, is meeting this challenge head on. He is creating an integrated statistical toolkit comprising robust statistical procedures, including distribution-free inference and rank-based methods, which can be applied to high-dimensional […]

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A needle in a haystack – the future of big data

A research article about how to structure large sums of data effectively

Dr Yang Feng is Associate Professor of Statistics at Columbia University. His research aims to structure, into a useful form, the voluminous data available from many areas of science, humanity, industry and governments, like social networks, the study of the genome, understanding economics or finance and health sciences. Using network modelling, he has focused on novel ways of detecting “communities” more […]

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