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The Bias Dynamics Model: Correcting for Meta-Biases in Therapeutic Prediction

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)
Creators:
CreatorsEmailORCID
Erasmus, Adrian0000-0001-8944-1598
Keywords: medical research meta-bias meta-research
Subjects: Specific Sciences > Medicine > Clinical Trials
Specific Sciences > Medicine > Epidemiology
General Issues > Evidence
Specific Sciences > Medicine
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
Date: 2022
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/20805

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