A parametric approach to relaxing the independence assumption in relative survival analysis
Author:
Affiliation:
1. University of Kentucky , Lexington , USA
2. Conservatoire National des Arts et Métiers , Paris , France
3. Institut Curie , St-Cloud , Paris , France
4. University of North Carolina at Chapel Hill , Chapel Hill , USA
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability
Link
https://www.degruyter.com/document/doi/10.1515/ijb-2021-0016/pdf
Reference55 articles.
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2. Brinkhof, MW, Spycher, BD, Yiannoutsos, C, Weigel, R, Wood, R, Messou, E, et al.. Adjusting mortality for loss to follow-up: analysis of five ART programmes in sub-Saharan Africa. PLoS One 2010;5:e14149. https://doi.org/10.1371/journal.pone.0014149.
3. Gichangi, A, Vach, W. The analysis of competing risks data: a guided tour. Stat Med 2005;132:1–41.
4. Mieno, MN, Tanaka, N, Arai, T, Kawahara, T, Kuchiba, A, Ishikawa, S, et al.. Accuracy of death certificates and assessment of factors for misclassification of underlying cause of death. J Epidemiol 2016;26:191–8. https://doi.org/10.2188/jea.je20150010.
5. Percy, C, Stanek, E3rd, Gloeckler, L. Accuracy of cancer death certificates and its effect on cancer mortality statistics. Am J Publ Health 1981;71:242–50. https://doi.org/10.2105/ajph.71.3.242.
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