most citedState-of-the-art in selection of variables and functional forms in multivariable analysis -- outstanding issues

32 citations · 64 across the 5 of their papers we have counts for

collaborators

4 papers

stat.ME2026

Methods for adjusting for covariate measurement error in flexible modelling of functional form: results of a blinded, controlled neutral comparison simulation study

Mohammed Sedki, Aris Perperoglou, Anne C. M. Thiébaut +6

Covariate measurement error is pervasive in epidemiological research and distorts estimated exposure-outcome associations, yet correction methods have been studied almost exclusive…

stat.ME2026

Methods for adjusting for covariate measurement error in flexible modelling of functional form: designing a blinded, controlled neutral comparison simulation study

Anne C M Thiébaut, Aris Perperouglou, Mohammed Sedki +6

This article describes the design of a neutral comparison study in the context of empirical studies where the interest is in learning the functional relationship between a continuo…

stat.ME2026

Navigating the Landscape of Hierarchical Multi-Component Strategies: GPC, DOOR, and MOST

Mickaël De Backer, Johan Verbeeck, Vivian Lanius +5

There is a growing recognition of the importance to involve patients in every stage of drug development. This shift acknowledges that patients' perspectives, experiences, and prefe…

stat.ME2019★ 32 cited

State-of-the-art in selection of variables and functional forms in multivariable analysis -- outstanding issues

Willi Sauerbrei, Aris Perperoglou, Matthias Schmid +7

How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc 'traditional' approaches to variable sel…