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Prediction meets causal inference: the role of treatment in clinical prediction models

van Geloven, N; Swanson, SA; Ramspek, CL; Luijken, K; van Diepen, M; Morris, TP; Groenwold, RHH; ... le Cessie, S; + view all (2020) Prediction meets causal inference: the role of treatment in clinical prediction models. European Journal of Epidemiology 10.1007/s10654-020-00636-1. (In press). Green open access

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Abstract

In this paper we study approaches for dealing with treatment when developing a clinical prediction model. Analogous to the estimand framework recently proposed by the European Medicines Agency for clinical trials, we propose a 'predictimand' framework of different questions that may be of interest when predicting risk in relation to treatment started after baseline. We provide a formal definition of the estimands matching these questions, give examples of settings in which each is useful and discuss appropriate estimators including their assumptions. We illustrate the impact of the predictimand choice in a dataset of patients with end-stage kidney disease. We argue that clearly defining the estimand is equally important in prediction research as in causal inference.

Type: Article
Title: Prediction meets causal inference: the role of treatment in clinical prediction models
Location: Netherlands
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s10654-020-00636-1
Publisher version: https://doi.org/10.1007/s10654-020-00636-1
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Censoring, Clinical prediction model, Estimands, Predictimands, Treatment
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10098456
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