⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

January 1, 1992Journal of the Royal Statistical Society Series A (Statistics in Society)

Causality: Some Statistical Aspects

View at Publisher

Ask AI

Bookmark

Share

Abstract

Journal of the Royal Statistical Society. Series A (Statistics in Society) is currently published by Royal Statistical Society.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

D. R. Cox (1992) studied this question.

synapsesocial.com/papers/6a10b5a7326831f8a2644792 https://doi.org/10.2307/2982962

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1Adrian W. Bowman, 1955–2026Journal of the Royal Statistical Society Series A (Statistics in Society) · Fri,
2Hierarchical Bayesian mixture model for subgroup-specific cardiometabolic phenotypesJournal of the Royal Statistical Society Series A (Statistics in Society) · Mon,
3Dynamic healthcare demand with informative dropout: evidence from register dataJournal of the Royal Statistical Society Series A (Statistics in Society) · Mon,
4Scalable generalized accuracy estimation for multisource register-based official statisticsJournal of the Royal Statistical Society Series A (Statistics in Society) · Wed,
5Fake news detection via wisdom of synthetic and representative crowdsJournal of the Royal Statistical Society Series A (Statistics in Society) · Mon,

More from Journal of the Royal Statistical Society Series A (Statistics in Society)

Modeling smooth and localized mortality patterns across age, time, and space to uncover small-area inequalitiesWed,
Quantifying regional variation in Ivermectin use during the pandemic using regularized synthetic controlsThu,
Bayesian mortality forecasting with a Conway–Maxwell–Poisson specificationWed,
A Boltzmann generator framework for modelling and forecasting international trade networksThu,
Summarizing mortality data with a time-dependent beta latent variable modelWed,