most citedA scoping review of causal methods enabling predictions under hypothetical interventions

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stat.ME2020★ 1 cited

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…

stat.ME2017

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…