Causal Survival Analysis
Causal Survival Analysis is a longitudinal causal inference method that extends standard survival analysis by estimating the causal effect of time-varying exposures on time-to-event outcomes while accounting for time-dependent confounding and censoring.
54
Publications
4.8K
Citations
171
Authors
120
Institutions
Publications per year
2017–2026
26
54
Direct and Indirect Effects in a Survival Context
Theis Lange, Jørgen Vinsløv Hansen · Epidemiology · 2011 · 283 citations
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120
Harvard University
Cambridge, United States
11 h-index
29 publications
6.4K citations

Brigham and Women's Hospital
Boston, United States
4 h-index
9 publications
289 citations

University of Waterloo
Waterloo, Canada
3 h-index
3 publications
297 citations
Cancer Research And Biostatistics
Seattle, United States
3 h-index
6 publications
1.7K citations

Washington University in St. Louis
St Louis, United States
3 h-index
5 publications
120 citations
University of Washington
Seattle, United States
3 h-index
5 publications
112 citations
University of Copenhagen
Copenhagen, Denmark
3 h-index
4 publications
475 citations

University of London
London, United Kingdom
2 h-index
2 publications
66 citations
1–8 of 120
6 publications · 241 citations
6
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5 publications · 2.2K citations
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4 publications · 299 citations
4
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3 publications · 309 citations
3
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3 publications · 556 citations
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