The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Survival Analysis Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit
Open accessAbstract
In this series of papers, we have described a selection of statistical methods used for the initial analysis of survival time data ( Clark et al, 2003 ), and introduced a selection of more advanced methods to deal with the situation where several factors impact on the survival process ( Bradburn et al, 2003 ). The latter paper focused on proportional hazards (PH) and accelerated failure time (AFT) models, and we continue the series by demonstrating the application of these models in more detail. Whereas the focus of the previous paper was to outline the purpose and interpretation of statistical models for survival analysis, we concentrate here on approaches with which to undertake the actual modelling process. In other words, the aim of this paper is to promote the correct use of the models that have been suggested for the analysis of survival data.
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Cites
A new look at the statistical model identification
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Proportional hazards tests and diagnostics based on weighted residuals
GRAMBSCH, P. M., & THERNEAU, T. M. (1994) · Biometrika · doi:10.1093/biomet/81.3.515 · Cited by 5,885
Peduzzi, P., Concato, J., Feinstein, A. R., & Holford, T. R. (1995) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(95)00048-8 · Cited by 2,154
Survival analysis part II: multivariate data analysis – an introduction to concepts and methods
Bradburn, M. J., Clark, T. G., Love, S. B., & Altman, D. G. (2003) · British Journal of Cancer · doi:10.1038/sj.bjc.6601119 · Cited by 741 · cited 14×
“607 British Journal of Cancer (2003) 89(4), 605 – 611& 2003 Cancer Research UK improve the fit to a significant degree.”
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Cited by
Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Self-citationMcCowan, C., Shearer, J., Donnan, P. T., Dewar, J. A., Crilly, M., Thompson, A. M., & Fahey, T. P. (2008) · British Journal of Cancer · doi:10.1038/sj.bjc.6604758 · Cited by 343
Ramakrishnan, R., Doherty, A., Smith-Byrne, K., Rahimi, K., Bennett, D., Woodward, M., Walmsley, R., & Dwyer, T. (2021) · PLOS Medicine · doi:10.1371/journal.pmed.1003487 · Cited by 183
Evaluation and comparison of multi-omics data integration methods for cancer subtyping
Duan, R., Gao, L., Gao, Y., Hu, Y., Xu, H., Huang, M., Song, K., Wang, H., Dong, Y., Jiang, C., et al. (2021) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1009224 · Cited by 122
Economic Evaluation of Policy Options for Prevention and Control of Cervical Cancer in Thailand
Praditsitthikorn, N., Teerawattananon, Y., Tantivess, S., Limwattananon, S., Riewpaiboon, A., Chichareon, S., Ieumwananonthachai, N., & Tangcharoensathien, V. (2011) · PharmacoEconomics · doi:10.2165/11586560-000000000-00000 · Cited by 79
Interethnic differences in pancreatic cancer incidence and risk factors: The Multiethnic Cohort
Huang, B. Z., Stram, D. O., Le Marchand, L., Haiman, C. A., Wilkens, L. R., Pandol, S. J., Zhang, Z., Monroe, K. R., & Setiawan, V. W. (2019) · Cancer Medicine · doi:10.1002/cam4.2209 · Cited by 52
Metadata
- Authors
- Bradburn, M. J., Clark, T. G., Love, S. B., & Altman, D. G.
- Venue
- British Journal of Cancer
- Published
- 2003-08
- Volume
- 89
- Issue
- 4
- Pages
- 605-611
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2135032122
- Cited by
- 390
- References
- 4
- FWCI
- 4.56
- Type
- journal article
- Language
- en
- Open access
- hybrid
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