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Search results (19)

« Back to Publications

Capitalizing on a crisis: a computational analysis of all five million British firms during the Covid-19 pandemic

Muggleton N. et al, (2025), Journal of Computational Social Science, 8

On the unknowable limits to prediction.

Yan J. and Rahal C., (2025), Nature computational science, 5, 188 - 190

The InterModel Vigorish (IMV) as a flexible and portable approach for quantifying predictive accuracy with binary outcomes.

Domingue BW. et al, (2025), PloS one, 20

The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items.

Domingue BW. et al, (2024), Psychometrika, 89, 1034 - 1054

Voting Patterns, Mortality, and Health Inequalities in England: A replication and extension of Smith and Dorling (1996)

Rahal C. et al, (2024)

The rise of machine learning in the academic social sciences

Rahal C. et al, (2024), AI & SOCIETY, 39, 799 - 801

Publisher Correction: Offshoring emissions through used vehicle exports

Newman SJ. et al, (2024), Nature Climate Change, 14, 297 - 297

Offshoring emissions through used vehicle exports

Newman SJ. et al, (2024), Nature Climate Change, 14, 238 - 241

The role of the third sector in public health service provision: evidence from 25,338 heterogeneous procurement datasets

Rahal C. and Mohan J., (2024), JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Quantifying impacts of the COVID-19 pandemic through life-expectancy losses: a population-level study of 29 countries

Aburto JM. et al, (2022), International Journal of Epidemiology, 51, 63 - 74

Population Studies at 75 years: An empirical review.

Mills MC. and Rahal C., (2021), Population studies, 75, 7 - 25

The Rise of Machine Learning in the Academic Social Sciences

Rahal C. et al, (2021)

Quantifying impacts of the COVID-19 pandemic through life expectancy losses: a population-level study of 29 countries

Aburto JM. et al, (2021)

Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world

Block P. et al, (2020), Nature Human Behaviour, 4, 588 - 596

The GWAS Diversity Monitor tracks diversity by disease in real time

Mills MC. and Rahal C., (2020), Nature Genetics, 52, 242 - 243

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