A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines
Brown D, Kauermann G, Ford I (2007)
BIOMETRICAL JOURNAL 49(3): 441-452.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Autor*in
Brown, Denise;
Kauermann, GöranUniBi;
Ford, Ian
Einrichtung
Abstract / Bemerkung
Survival data are often modelled by the Cox proportional hazards model, which assumes that covariate effects are constant over time. In recent years however, several new approaches have been suggested which allow covariate effects to vary with time. Non-proportional hazard functions, with covariate effects changing dynamically, can be fitted using penalised spline (P-spline) smoothing. By utilising the link between P-spline smoothing and generalised linear mixed models, the smoothing parameters steering the amount of smoothing can be selected. A hybrid routine, combining the mixed model approach with a classical Akaike criterion, is suggested. This approach is evaluated with simulations and applied to data from the West of Scotland Coronary Prevention Study.
Stichworte
West of Scotland Coronary Prevention Study;
non-proportional hazards;
P-splines;
generalised linear mixed models
Erscheinungsjahr
2007
Zeitschriftentitel
BIOMETRICAL JOURNAL
Band
49
Ausgabe
3
Seite(n)
441-452
ISSN
0323-3847
eISSN
1521-4036
Page URI
https://pub.uni-bielefeld.de/record/1593331
Zitieren
Brown D, Kauermann G, Ford I. A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines. BIOMETRICAL JOURNAL. 2007;49(3):441-452.
Brown, D., Kauermann, G., & Ford, I. (2007). A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines. BIOMETRICAL JOURNAL, 49(3), 441-452. https://doi.org/10.1002/bimj.200510325
Brown, Denise, Kauermann, Göran, and Ford, Ian. 2007. “A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines”. BIOMETRICAL JOURNAL 49 (3): 441-452.
Brown, D., Kauermann, G., and Ford, I. (2007). A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines. BIOMETRICAL JOURNAL 49, 441-452.
Brown, D., Kauermann, G., & Ford, I., 2007. A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines. BIOMETRICAL JOURNAL, 49(3), p 441-452.
D. Brown, G. Kauermann, and I. Ford, “A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines”, BIOMETRICAL JOURNAL, vol. 49, 2007, pp. 441-452.
Brown, D., Kauermann, G., Ford, I.: A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines. BIOMETRICAL JOURNAL. 49, 441-452 (2007).
Brown, Denise, Kauermann, Göran, and Ford, Ian. “A partial likelihood approach to smooth estimation of dynamic covariate effects using penalised splines”. BIOMETRICAL JOURNAL 49.3 (2007): 441-452.
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