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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 - MaRDI portal

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
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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
  • A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-medicare lung cancer data

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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