EValue

swMATH34331CRANEValueMaRDI QIDQ46040

Sensitivity Analyses for Unmeasured Confounding and Other Biases in Observational Studies and Meta-Analyses

Tyler J. Vanderweele, Peng Ding, Louisa H. Smith, Maya B. Mathur

Last update: 28 October 2021

Copyright license: GNU General Public License, version 2.0

Software version identifier: 4.1.3

Source code repository: https://github.com/cran/EValue

Cites work

• Bounding Bias Due to Selection
• Sensitivity Analysis in Observational Research: Introducing the E-Value
• Simple Sensitivity Analysis for Differential Measurement Error
• Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses
• Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects
• Multiple-bias sensitivity analysis using bounds

Described by source

• Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses

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Outcome-wide longitudinal designs for causal inference: a new template for empirical studies ⋮ Rejoinder: The future of outcome-wide studies ⋮ multibiasmeta

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