Causal Sensitivity Analysis
Causal Sensitivity Analysis is a methodological framework within multi-omics causal inference that systematically evaluates the robustness of inferred causal relationships to unmeasured confounding, selection bias, or model misspecification by quantifying how inferences change under plausible deviations from key causal assumptions.
146
Publications
17.7K
Citations
359
Authors
207
Institutions
Publications per year
2017–2026
79
Parents
146
A general approach to causal mediation analysis.
Kosuke Imai, Luke Keele, Dustin Tingley · Psychological Methods · 2010 · 3.9K citations · Full text
A More Credible Approach to Parallel Trends
Ashesh Rambachan, Jonathan Roth · The Review of Economic Studies · 2023 · 1.2K citations · Full text
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Harvard University
Cambridge, United States
12 h-index
26 publications
4.5K citations
University of Pennsylvania
Philadelphia, United States
9 h-index
15 publications
1.1K citations
Stanford University
Stanford, United States
8 h-index
11 publications
840 citations
University of California, Berkeley
Berkeley, United States
8 h-index
11 publications
906 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
4 publications
290 citations

Johns Hopkins University
Baltimore, United States
5 h-index
7 publications
494 citations
Cancer Research And Biostatistics
Seattle, United States
5 h-index
5 publications
727 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
5 publications
771 citations
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6 publications · 276 citations
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Repository · 4 publications · 99 citations
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4 publications · 74 citations
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Repository · 4 publications · 383 citations
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4 publications · 3.9K citations
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