Causal inference with misspecified exposure mappings
Experimenters use exposure mappings to investigate complex causal effects involving interference between units. This paper argues that the two roles exposure mappings currently serve should be separated and, under certain conditions, this can lead to more reliable estimation of exposure effects.
Read the paper and commentaries in the latest issue of Biometrika.
High-Impact Research Collection
Explore the most read, most cited, and most discussed articles published in Biometrika in recent years and discover what has caught the interest of your peers.
Why publish in Biometrika?
Biometrika has over 100 years of experience in publishing papers in statistics, a diverse editorial board, and a commitment to fast first decisions. Read more about why you should submit your next paper to the journal.
In remembrance
Biometrika pays tribute to past Editors who have contributed significantly to the field of statistics and the community as a whole.
Email alerts
Register to receive table of contents email alerts as soon as new issues of Biometrika are published online.
Read and Publish deals
Authors interested in publishing in Biometrika may be able to publish their paper Open Access using funds available through their institution’s agreement with OUP.