Bias Formulas for Sensitivity Analysis for Direct and Indirect Effects
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Items 201–300 of 434
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- Unmeasured mediator-outcome confounding distorts both indirect and direct effectsWen Wei Loh · 2024 · Proceedings of the National Academy of Sciences
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- Sensitivity AnalysisIvan Matos Diaz, Alexander R. Luedtke, Mark J. van der Laan · 2018 · Springer series in statistics
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- Sensitivity analysis for unobserved confounding in causal mediation analysis allowing for effect modification, censoring and truncationAnita Lindmark · 2021 · Statistical Methods & Applications
- VanderWeele and Vansteelandt Respond to "Decomposing With a Lot of Supposing" and "Mediation"Tyler J. VanderWeele, Stijn Vansteelandt · 2010 · American Journal of Epidemiology
- Educational level and chronic inflammation in the elderly – the role of obesity: results from the population‐based CARLA studyDaniel Medenwald, Harald Loppnow, Alexander Kluttig, Sebastian Nuding, Karin Halina Greiser, Joachim Thiery, Daniel Tiller, Beatrice Herzog, Karl Werdan, Johannes Haerting · 2015 · Clinical Obesity
- G-Computation to Causal Mediation Analysis With Sequential Multiple Mediators—Investigating the Vulnerable Time Window of HBV Activity for the Mechanism of HCV Induced Hepatocellular CarcinomaAn‐Shun Tai, Yen‐Tsung Huang, Hwai‐I Yang, Lauren V. Lan, Sheng‐Hsuan Lin · 2022 · Frontiers in Public Health
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