Step-by-step analytic framework. The complete inference pipeline confronts the analyst with many choices, some guided by domain knowledge, others by data insights. Making those choices explicit is necessary to ensure robustness and reproducibility.

<p>Step-by-step analytic framework. The complete inference pipeline confronts the analyst with many choices, some guided by domain knowledge, others by data insights. Making those choices explicit is necessary to ensure robustness and reproducibility.</p>

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Bibliographic Details
Main Author:	Matthieu Doutreligne (16503321) (author)
Other Authors:	Tristan Struja (3599573) (author), Judith Abecassis (3599456) (author), Claire Morgand (10019889) (author), Leo Anthony Celi (7347551) (author), Gaël Varoquaux (422904) (author)
Published:	2025
Subjects:	Medicine Science Policy Biological Sciences not elsewhere classified without causal thinking valid causal model valid causal estimates target trial concept subgroup analyses showed studying causal effects randomized controlled trials random forests proved methods increasingly attractive intensive care database individual patient level electronic health records confounding variables based causal inference estimating 60 years old treatment relationships make optimal clinical decision individualize decision making estimate treatment effects doubly robust estimator step causal analysis sepsis ), intervention making </ p applying machine learning machine learning treatment efficacy reliable estimator large treatment ground decision best decision ), outcome varying assumptions third step study design septic shock sepsis using second step observational data multiple models medical interventions many pitfalls first step expert knowledge ehr data building models avoid shortcuts admission ).
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Step-by-step analytic framework. The complete inference pipeline confronts the analyst with many choices, some guided by domain knowledge, others by data insights. Making those choices explicit is necessary to ensure robustness and reproducibility.

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