DeepJoint: Robust Survival Modelling Under Clinical Presence Shift

1 code implementation • 26 May 2022 • Vincent Jeanselme, Glen Martin, Niels Peek, Matthew Sperrin, Brian Tom, Jessica Barrett

Observational data in medicine arise as a result of the complex interaction between patients and the healthcare system.

A scoping review of causal methods enabling predictions under hypothetical interventions

no code implementations • 19 Nov 2020 • Lijing Lin, Matthew Sperrin, David A. Jenkins, Glen P. Martin, Niels Peek

Methods: We systematically reviewed literature published by December 2019, considering papers in the health domain that used causal considerations to enable prediction models to be used for predictions under hypothetical interventions.

Causal Inference Decision Making

Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches

1 code implementation • 21 Jan 2020 • Glen P. Martin, Matthew Sperrin, Kym I. E. Snell, Iain Buchan, Richard D. Riley

Employing a simulation study and real-world example via the MIMIC-III database, we illustrate that CPMs for joint risk prediction of multiple outcomes should only be derived using methods that model the residual correlation between outcomes.

Methodology