Whether you are predicting the outcome of an election or studying how effective a new drug is, there will always be some uncertainty. A margin of error is how statisticians measure that uncertainty.
Rigor académico, oficio periodístico
Artículos sobre Statistics
Mostrando 41 - 60 de 238 artículos
The coronavirus vaccine was developed faster than any vaccine in history. It took just 332 days from the first sequencing of the virus genome to the first vaccines given to the public.
There have been some shockingly bad graphs circulating during the pandemic.
After more than a month of testing without a single positive case, the probability of coronavirus lurking in Victoria is vanishingly small.
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 COVID-19 pandemic has highlighted how much modern societies are governed by statistics. Despite their objective appearance, these numbers gain their strength from very human relationships.
African governments must engage rating agencies better, providing them and investors with credible economic data, and regularly address all concerns being raised.
Health statisticians keep careful tabs on how many people die every week. Based on what’s happened in past years, they know what to expect – but 2020 death counts are surging beyond predictions.
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?
Health statisticians keep careful tabs on how many people die every week. Based on what’s happened in past years, they know what to expect – but 2020 death counts are surging beyond predictions.
A team of researchers from Indiana University performed random testing for SARS-CoV-2 across the state. The results offer some of the most accurate data to date about important aspects of the virus.
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.
Many of the more formal models for predicting the pandemic try to understand why changes happen – but often it can be more accurate to ignore the reasons and simply look at the data.
Many more people have been infected with coronavirus than the statistics suggest.
Without a vaccine, the cost of reaching herd immunity during a pandemic is counted in lives lost, and it won’t quickly stop the virus’s spread.
K is all about the super-spreaders.
Why one city suffers significantly more deaths than another isn’t always obvious. A simple experiment shows how failing to consider certain factors can point policy makers in the wrong direction.
An easy question, but a difficult answer.
Most people believe the government was wrong to stop publishing international comparisons of COVID-19 death tolls.
On the 200th anniversary of Florence Nightingale’s birth, we take a look at how her monumental efforts helped shape the way we model health care and disease outbreak data today.
Principales colaboradores
-
Professor of the Practice of Data Science, Washington University in St Louis
-
Senior Lecturer in Statistics, University of Glasgow
-
Professor of Economics and Public Policy, ANU College of Arts and Social Sciences, Australian National University
-
Professor of Business and Sports Analytics, University of Leeds
-
Professor of Biostatistics and Epidemiology, University of South Australia
-
Professor of Statistics and Interim Dean, College of Science, Virginia Tech
-
Professor of Statistics, Queensland University of Technology
-
Geoff Cumming es Amigo de The Conversation.
Emeritus Professor, La Trobe University
-
Associate Professor, Centre for Social Research and Methods, Director, Centre for Economic Policy Research (CEPR), Australian National University
-
Professor of Bioinformatics, Walter and Eliza Hall Institute
-
Associate Professor of Mathematical Sciences, University of Technology Sydney
-
Biostatistician, The University of Melbourne
-
Professor, Future Fellow and Head of Statistics at UNSW, and a Deputy Director of the Australian Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS), UNSW Sydney
-
Assistant Professor, Department of Statistics and Actuarial Science, University of Waterloo
-
Laureate Professor of Mathematics, University of Newcastle
