Assessing the causal effects of a stochastic intervention in time series data: are heat alerts effective in preventing deaths and hospitalizations?

Wu, X., Weinberger, K. R., Wellenius, G. A., Dominici, F., & Braun, D. (2023). Assessing the causal effects of a stochastic intervention in time series data: are heat alerts effective in preventing deaths and hospitalizations? Biostatistics, 25(1), 57–79. https://doi.org/10.1093/biostatistics/kxad002
Authors:
Xiao Wu
Kate R. Weinberger
Gregory A. Wellenius
Francesca Dominici
Danielle Braun
Affiliated Authors:
Xiao Wu
Columbia Affiliation:
Subjects:
Hot Temperature (MeSH)
Medicare (MeSH)
Author Keywords:
incremental propensity score
meta-analysis
multisite time series
time-varying confounding
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Publication Type:
Article
Unique ID:
10.1093/biostatistics/kxad002
PMID:
36815555
DOI:
10.1093/biostatistics/kxad002
Journal:
Biostatistics
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
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