26 citations · 29 across the 5 of their papers we have counts for
4 papers · 1 filter
Calibration plots for multistate risk predictions models: an overview and simulation comparing novel approaches
Alexander Pate, Matthew Sperrin, Richard D. Riley +9
Introduction. There is currently no guidance on how to assess the calibration of multistate models used for risk prediction. We introduce several techniques that can be used to pro…
A scoping review of causal methods enabling predictions under hypothetical interventions
Lijing Lin, Matthew Sperrin, David A. Jenkins +2
Background and Aims: The methods with which prediction models are usually developed mean that neither the parameters nor the predictions should be interpreted causally. However, wh…
Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches
Glen P. Martin, Matthew Sperrin, Kym I. E. Snell +2
Clinical prediction models (CPMs) are used to predict clinically relevant outcomes or events. Typically, prognostic CPMs are derived to predict the risk of a single future outcome.…
Using marginal structural models to adjust for treatment drop-in when developing clinical prediction models
Matthew Sperrin, Glen Martin, Tjeerd Van Staa +2
Objectives: Clinical prediction models (CPMs) can inform decision-making concerning treatment initiation. Here, one requires predicted risks assuming that no treatment is given. Th…