A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data (Q124494)
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scientific article; zbMATH DE number 7556665
- A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-medicare lung cancer data
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data |
scientific article; zbMATH DE number 7556665 |
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Statements
11 December 2020
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14 July 2022
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stat.ME
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A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-medicare lung cancer data (English)
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Bayesian inference
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causal inference
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ignorability assumption
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nested multiple imputation
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observational data
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0.764712929725647
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0.7560268044471741
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0.746112585067749
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0.744185209274292
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