Home ›
Entities
› academia
› A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data
Research article (The Annals of Applied Statistics, 2022) · cited 15× · AI/ML
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data
Summary
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data is a scholarly article[1].
Key Facts
A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-flexible-sensitivity-analysis-approach-for-unmeasured-confounding-with-multiple-treatments-and-a-binary-outcome-with-a
MLA“A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-flexible-sensitivity-analysis-approach-for-unmeasured-confounding-with-multiple-treatments-and-a-binary-outcome-with-a.
BibTeX@misc{4ortxyz_a-flexible-sensitivity-analysis-approach-for-unmeasured-confounding-with-multiple-treatments-and-a-binary-outcome-with-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data}}, year = {2026}, url = {https://4ort.xyz/entity/a-flexible-sensitivity-analysis-approach-for-unmeasured-confounding-with-multiple-treatments-and-a-binary-outcome-with-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data — https://4ort.xyz/entity/a-flexible-sensitivity-analysis-approach-for-unmeasured-confounding-with-multiple-treatments-and-a-binary-outcome-with-a (retrieved 2026-05-24)
