Prediction of long-term cumulative incidences based on short-term parametric model for competing risks: application in early breast cancer-Reference-Cited by-同舟云学术

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Prediction of long-term cumulative incidences based on short-term parametric model for competing risks: application in early breast cancer

Published:2016-04 Issue:3 Volume:156 Page:577-585
ISSN:0167-6806
Container-title:Breast Cancer Research and Treatment
language:en
Short-container-title:Breast Cancer Res Treat

Author:

Cabarrou B.,Belin L.,Somda S. M.,Falcou M. C.,Pierga J. Y.,Kirova Y.,Delord J. P.,Asselain B.,Filleron T.

Funder

Captor Academic Project

La Ligue Nationale Contre le Cancer, comite Midi-Pyrénées, GRICR (Groupe de Recherche Institut Claudius Regaud)

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

Link

http://link.springer.com/content/pdf/10.1007/s10549-016-3789-9.pdf

Reference20 articles.

1. Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53(282):457–481

2. Pocock SJ, Clayton TC, Altman DG (2002) Survival plots of time-to-event outcomes in clinical trials: good practice and pitfalls. Lancet 359(9318):1686–1689

3. Boag JW (1949) Maximum likelihood estimates of the proportion of patients cured by cancer therapy. J R Stat Soc Ser B Methodol 11(1):15–53

4. Mould RF, Boag JW (1975) A test of several parametric statistical models for estimating success rate in the treatment of carcinoma cervix uteri. Br J Cancer 32(5):529–550

5. Mould RF, Lederman M, Tai P, Wong JKM (2002) Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models. Phys Med Biol 47(22):3893

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