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Titel:

Greedy knot selection algorithm for restricted cubic spline regression.

Dokumenttyp:
Journal Article
Autor(en):
Arnes, Jo Inge; Hapfelmeier, Alexander; Horsch, Alexander; Braaten, Tonje
Abstract:
Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one such method, for example, highly relevant to Cox proportional hazard regression model analysis. RCS regression uses third-order polynomials joined at knot points to model non-linear relationships. The standard approach is to place knots by a regular sequence of quantiles between the outer boundaries....     »
Zeitschriftentitel:
Front Epidemiol
Jahr:
2023
Band / Volume:
3
Volltext / DOI:
doi:10.3389/fepid.2023.1283705
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38455941
TUM Einrichtung:
Lehrstuhl für Medizinische Informatik (Prof. Boeker)
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