Abstract Health and longevity are intimately related to position in the social hierarchy. The lower the status, the higher risk of illness and death, and consequently the shorter the life expectancy. In his book of the same name, Michael Marmot calls this social gradient in health the “Status Syndrome”. So what exactly is the cause…
Significance Template
Write in a clean editor, then format for Significance in one click — DocuGuru applies the official Oxford University Press template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Significance format
Significance is a peer-reviewed journal published by Oxford University Press, covering Statistics Education and Methodologies, Census and Population Estimation, Data Analysis with R.
| Publisher | Oxford University Press |
|---|---|
| Reference style | Author–year (OUP) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Significance, 12(3), pp. 45–58.
Formats any DOI in the closest standard style — Significance has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Statistics Education and Methodologies Census and Population Estimation Data Analysis with R Human auditory perception and evaluation Sports Analytics and Performance |
| ISSN | 1740-9705 |
| Citation impact (2-yr) | 0.12 |
| h-index | 37 |
| i10-index | 166 |
| Total citations | 8,252 |
| Top institutions publishing here | Royal Statistical Society |
| Journal website | academic.oup.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Significance per year
Citation impact of Significance by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Significance
Abstract Predictive policing systems are used increasingly by law enforcement to try to prevent crime before it occurs. But what happens when these systems are trained using biased data? Kristian Lum and William Isaac consider the evidence – and the social consequences
Abstract “Any claim coming from an observational study is most likely to be wrong.” Startling, but true. Coffee causes pancreatic cancer. Type A personality causes heart attacks. Trans-fat is a killer. Women who eat breakfast cereal give birth to more boys. All these claims come from observational studies; yet when the studies are carefully examined,…
Abstract More people have more access to data than ever before. But a comparative lack of analytical skills has resulted in scientific findings that are neither replicable nor reproducible. It is time to invest in statistics education, says Roger Peng
Abstract Economist, journalist and broadcaster Tim Harford delivered the 2014 Significance lecture at the Royal Statistical Society International Conference. In this article, republished from the Financial Times, Harford warns us not to forget the statistical lessons of the past as we rush to embrace the big data future