Erasmus, Adrian (2022) The Bias Dynamics Model: Correcting for Meta-Biases in Therapeutic Prediction. In: UNSPECIFIED.
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Abstract
Inferences from clinical research results to estimates of therapeutic effectiveness suffer due to various biases. I argue that predictions of medical effectiveness are prone to failure because current medical research overlooks the impact of a particularly detrimental set of biases: meta-biases. Meta-biases are linked to higher-level characteristics of medical research and their effects are only observed when comparing sets of studies that share certain meta-level properties. I offer a model for correcting research results based on meta-research evidence, the bias dynamics model, which employs regularly updated empirical bias coefficients to attenuate estimates of therapeutic effectiveness.
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Item Type: | Conference or Workshop Item (UNSPECIFIED) | ||||||
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Keywords: | medical research meta-bias meta-research | ||||||
Subjects: | Specific Sciences > Medicine > Clinical Trials Specific Sciences > Medicine > Epidemiology General Issues > Evidence Specific Sciences > Medicine |
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Depositing User: | Dr. Adrian Erasmus | ||||||
Date Deposited: | 03 Jul 2022 03:50 | ||||||
Last Modified: | 03 Jul 2022 03:50 | ||||||
Item ID: | 20805 | ||||||
Subjects: | Specific Sciences > Medicine > Clinical Trials Specific Sciences > Medicine > Epidemiology General Issues > Evidence Specific Sciences > Medicine |
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Date: | 2022 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/20805 |
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