Time-dependent Exposure-response Modeling
Time-Dependent Exposure-Response Modeling is a statistical modeling framework that characterizes the dynamic relationship between the magnitude and timing of exposure and the subsequent biological or health outcome by explicitly incorporating temporal variability in the exposure-response relationship.
31
Publications
3.7K
Citations
149
Authors
91
Institutions
Publications per year
2017–2026
11
31
Distributed lag non‐linear models
Antonio Gasparrini, Ben Armstrong, Michael G. Kenward · Statistics in Medicine · 2010 · 2.5K citations · Full text
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National Institute of Environmental Health Sciences, United States
2 publications · 95 citations
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University of North Carolina at Chapel Hill, United States
2 publications · 95 citations
2
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1
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1
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1–5 of 149
91
Environmental Protection Agency
Washington, United States
2 h-index
11 publications
620 citations

Research Triangle Park Foundation
Durham, United States
2 h-index
11 publications
620 citations
University of Southampton
Southampton, United Kingdom
2 h-index
2 publications
54 citations
Cranfield University
Cranfield, United Kingdom
1 h-index
6 publications
270 citations
Williams & Associates
Seattle, United States
1 h-index
1 publications
22 citations
Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública
Madrid, Spain
1 h-index
4 publications
72 citations
University of Münster
Münster, Germany
1 h-index
1 publications
70 citations

Johns Hopkins University
Baltimore, United States
1 h-index
1 publications
40 citations
1–8 of 91
2 publications · 91 citations
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2 publications · 42 citations
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2 publications · 2.5K citations
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2 publications · 25 citations
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AJRCCM · 1 publications · 73 citations
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