Discussion on "A formal causal interpretation of the case-crossover design" by Zach Shahn, Miguel A. Hernán, and James M. Robins.

Publisher: Oxford University Press Country of Publication: United States NLM ID: 0370625 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1541-0420 (Electronic) Linking ISSN: 0006341X NLM ISO Abbreviation: Biometrics Subsets: MEDLINE

Publication: March 2024- : [Oxford] : Oxford University Press
Original Publication: Alexandria Va : Biometric Society

Songbirds* ; Air Pollution*/analysis ; Air Pollutants*; Humans ; Animals ; Cross-Over Studies ; Causality ; Seasons ; Environmental Exposure ; Particulate Matter

It has always been clear that the case-crossover design works, for some definition of "works," but some of the details have been surprisingly elusive, and it is good to see more of them nailed down by Shahn et al. My interest in case-crossover analyses has mostly been in the context of air pollution epidemiology mentioned at the end of the paper. The air pollution setting is distinctive for several reasons: as the exposure variable is plausibly exogenous, it is possible to use control times after the case time, the effects of interest are quite small, and the same measured exposure series is shared over many-perhaps all-of the cohort.
(© 2022 The Authors. Biometrics published by Wiley Periodicals LLC on behalf of International Biometric Society.)

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Keywords: air pollution; endogeneity; likelihood

0 (Air Pollutants)
0 (Particulate Matter)

Date Created: 20220919 Date Completed: 20230621 Latest Revision: 20230621

20230621

10.1111/biom.13750

36121113