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Articles on Biostatistics
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People don’t randomly select who they have children with. And that means an underlying assumption in research that tries to link particular genes to certain diseases or traits is wrong.
Just because a variant spreads faster, it doesn’t necessarily mean it has a higher R0.
We’d all like some answers. But uncertainty over how we count COVID cases is complicating the picture. Here’s what to expect in the days and weeks ahead.
Asking these four questions can help us identify good news when we see it, be more critical of news reports, or delay our judgement until we have more information.
The pandemic has exposed many of us to new statistical concepts, on the news, in everyday conversations and on social media. But how many are you getting wrong?
The COVID-19 death toll in the US is now over 130,000. What do 130,000 fatalities look like? A biostatistician provides some perspective.
An easy question, but a difficult answer.
We need to update models on death rates or introduce truly random testing to understand the true impact of the coronavirus.
A new tool that combines mortality risk factors across a big sample of the UK population can work out how middle-aged people compare.
Top contributors
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Professor of Biostatistics and Epidemiology, University of South Australia
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Professor of Molecular Epidemiology, Uppsala University
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Research Fellow, Harvard University
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Associate Professor, Epidemiology, Deakin University
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Principal Research Associate in Basic and Applied Decision Making, Cambridge Judge Business School
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Senior Lecturer, University of Pretoria
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Associate Professor, Mathematical Statistics and Actuarial Science, University of the Free State
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Senior Lecturer, University of KwaZulu-Natal
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Full Professor, University of Pretoria
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Associate Professor, University of the Free State
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Associate Professor of Statistics & Head of Department , University of Limpopo
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Professor of Risk and Information Management, Queen Mary University of London
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Postdoctoral Researcher in Computer Science, Queen Mary University of London
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Professor in Computer Science and Statistics, Queen Mary University of London
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Professor of Statistics and Interim Dean, College of Science, Virginia Tech
