On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value

DOI10.1080/00031305.2019.1575771OpenAlexW2911505705WikidataQ130534347 ScholiaQ130534347MaRDI QIDQ5869285

Dean A. Follmann, Sander Greenland, Erin E. Gabriel, Joanna H. Shih, Erica H. Brittain, James M. Robins, Michael P. Fay

Publication date: 28 September 2022

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2019.1575771

zbMATH Keywords

causalityeffect size\(D\)-valueindividualized treatmentpatient-centered

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Semiparametric Estimation of Probabilistic Index Models: Efficiency and Bias

Cites Work

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• Bayesian inference for causal effects: The role of randomization
• Confounding and collapsibility in causal inference
• On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
• The Probability of Causation under a Stochastic Model for Individual Risk
• Causal Inference Without Counterfactuals
• A Bayesian nonparametric approach to causal inference on quantiles
• Optimal Dynamic Treatment Regimes
• Unit–Treatment Interaction and Its Practical Consequences
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• Causal Inference for Statistics, Social, and Biomedical Sciences
• Optimal Structural Nested Models for Optimal Sequential Decisions
• Probabilistic Index Models
• ON THE z-TEST IN RANDOMIZED BLOCKS AND LATIN SQUARES
• ValidP-Values Behave Exactly as They Should: Some Misleading Criticisms ofP-Values and Their Resolution WithS-Values
• Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication
• The p-Value You Can’t Buy
• The ASA Statement on p-Values: Context, Process, and Purpose
• P-Value Precision and Reproducibility

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