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Accuracy of point predictions in survival analysis.

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Accuracy of point predictions in survival analysis. / Henderson, Robin; Jones, M.; Stare, J.
In: Statistics in Medicine, Vol. 20, No. 20, 2001, p. 3083-3096.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Henderson, R, Jones, M & Stare, J 2001, 'Accuracy of point predictions in survival analysis.', Statistics in Medicine, vol. 20, no. 20, pp. 3083-3096. https://doi.org/10.1002/sim.913

APA

Henderson, R., Jones, M., & Stare, J. (2001). Accuracy of point predictions in survival analysis. Statistics in Medicine, 20(20), 3083-3096. https://doi.org/10.1002/sim.913

Vancouver

Henderson R, Jones M, Stare J. Accuracy of point predictions in survival analysis. Statistics in Medicine. 2001;20(20):3083-3096. doi: 10.1002/sim.913

Author

Henderson, Robin ; Jones, M. ; Stare, J. / Accuracy of point predictions in survival analysis. In: Statistics in Medicine. 2001 ; Vol. 20, No. 20. pp. 3083-3096.

Bibtex

@article{fb19c6ed53b248b3a776494ee65e4cee,
title = "Accuracy of point predictions in survival analysis.",
abstract = "Survival time prediction is important in many applications, particularly for patients diagnosed with terminal diseases. A measure of prediction error taken from the medical literature is advocated as a practicable method of quantifying reliability of point predictions. Optimum predictions are derived for familiar survival models and the accuracy of these predictions is investigated. We argue that poor predictive capability is inherent to standard survival models with realistic parameter values. A lung cancer example is used to illustrate difficulties in prediction in practice.",
author = "Robin Henderson and M. Jones and J. Stare",
year = "2001",
doi = "10.1002/sim.913",
language = "English",
volume = "20",
pages = "3083--3096",
journal = "Statistics in Medicine",
issn = "1097-0258",
publisher = "John Wiley and Sons Ltd",
number = "20",

}

RIS

TY - JOUR

T1 - Accuracy of point predictions in survival analysis.

AU - Henderson, Robin

AU - Jones, M.

AU - Stare, J.

PY - 2001

Y1 - 2001

N2 - Survival time prediction is important in many applications, particularly for patients diagnosed with terminal diseases. A measure of prediction error taken from the medical literature is advocated as a practicable method of quantifying reliability of point predictions. Optimum predictions are derived for familiar survival models and the accuracy of these predictions is investigated. We argue that poor predictive capability is inherent to standard survival models with realistic parameter values. A lung cancer example is used to illustrate difficulties in prediction in practice.

AB - Survival time prediction is important in many applications, particularly for patients diagnosed with terminal diseases. A measure of prediction error taken from the medical literature is advocated as a practicable method of quantifying reliability of point predictions. Optimum predictions are derived for familiar survival models and the accuracy of these predictions is investigated. We argue that poor predictive capability is inherent to standard survival models with realistic parameter values. A lung cancer example is used to illustrate difficulties in prediction in practice.

U2 - 10.1002/sim.913

DO - 10.1002/sim.913

M3 - Journal article

VL - 20

SP - 3083

EP - 3096

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 1097-0258

IS - 20

ER -