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Health Services and Outcomes Research Methodology

Erschienen in:

01.03.2012

A graphical method for assessing risk factor threshold values using the generalized additive model: the multi-ethnic study of atherosclerosis

verfasst von: Claude Messan Setodji, Maren Scheuner, James S. Pankow, Roger S. Blumenthal, Haiying Chen, Emmett Keeler

Erschienen in: Health Services and Outcomes Research Methodology | Ausgabe 1/2012

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Abstract

Continuous variable dichotomization is a popular technique used in the estimation of the effect of risk factors on health outcomes in multivariate regression settings. Researchers follow this practice in order to simplify data analysis, which it unquestionably does. However thresholds used to dichotomize those variables are usually ad-hoc, based on expert opinions, or mean, median or quantile splits and can add bias to the effect of the risk factors on specific outcomes and underestimate such effect. In this paper, we suggest the use of a semi-parametric method and visualization for improvement of the threshold selection in variable dichotomization while accounting for mixture distributions in the outcome of interest and adjusting for covariates. For clinicians, these empirically based thresholds of risk factors, if they exist, could be informative in terms of the highest or lowest point of a risk factor beyond which no additional impact on the outcome should be expected.

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Titel: A graphical method for assessing risk factor threshold values using the generalized additive model: the multi-ethnic study of atherosclerosis
verfasst von: Claude Messan Setodji
Maren Scheuner
James S. Pankow
Roger S. Blumenthal
Haiying Chen
Emmett Keeler
Publikationsdatum: 01.03.2012
Verlag: Springer US
Erschienen in: Health Services and Outcomes Research Methodology / Ausgabe 1/2012
Print ISSN: 1387-3741
Elektronische ISSN: 1572-9400
DOI: https://doi.org/10.1007/s10742-012-0082-1

Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

A graphical method for assessing risk factor threshold values using the generalized additive model: the multi-ethnic study of atherosclerosis

Abstract

Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

Abstract

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