The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Estimating and Modeling Relative Survival
Open accessAbstract
When estimating patient survival using data collected by population-based cancer registries, it is common to estimate net survival in a relative-survival framework. Net survival can be estimated using the relative-survival ratio, which is the ratio of the observed survival of the patients (where all deaths are considered events) to the expected survival of a comparable group from the general population. In this article, we describe a command, strs, for life-table estimation of relative survival. We discuss three methods for estimating expected survival, as well as the cohort, period, and hybrid approaches for estimating relative survival. We also implement a life-table version of the Pohar Perme (2012, Biometrics 68: 113–120) estimator of net survival, and we describe two methods for age standardization. We also explain how, in addition to net probabilities of death, crude probabilities of death due to cancer and due to other causes can be estimated using the method of Cronin and Feuer (2000, Statistics in Medicine 19: 1729–1740). We conclude this article with discussion and examples of modeling excess mortality using various approaches, including the full-likelihood approach (using the ml command) and Poisson regression (using the glm command with a user-specified link function).
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Cites
Statistical Methods in Cancer Research
Breslow, N. E. (1980) · Cited by 7,332
Statistical Methods in Cancer Research. Volume II – The Design and Analysis of Cohort Studies
Juul, S. (1989) · Scandinavian Journal of Social Medicine · doi:10.1177/140349488901700214 · Cited by 3,592
The relative survival rate: a statistical methodology.
Ederer, F., Axtell, L. M., & CUTLER, S. J. (1961) · PubMed · Cited by 1,169
CALCULATION OF SURVIVAL RATES FOR CANCER
Berkson, J., & Gage, R. P. (1950) · Mayo Clinic Proceedings · doi:10.1016/s0025-6196(26)04443-5 · Cited by 940
Further Development of Flexible Parametric Models for Survival Analysis
Lambert, P. C., & Royston, P. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900206 · Cited by 814
Regression models for relative survival
Dickman, P. W., Sloggett, A., Hills, M., & Hakulinen, T. (2004) · Statistics in Medicine · doi:10.1002/sim.1597 · Cited by 792
Self-citationOn Estimation in Relative Survival
Perme, M. P., Stare, J., & Estève, J. (2012) · Biometrics · doi:10.1111/j.1541-0420.2011.01640.x · Cited by 661
Interpreting trends in cancer patient survival
DICKMAN, P. W., & ADAMI, H. ‐. (2006) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2006.01677.x · Cited by 508
Self-citationBhaskaran, K. (2008) · JAMA · doi:10.1001/jama.300.1.51 · Cited by 496
Cumulative Incidence Estimation in the Presence of Competing Risks
Coviello, V., & Boggess, M. (2004) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0400400201 · Cited by 458
Cited by
Cancer survival in China, 2003–2005: A population‐based study
Zeng, H., Zheng, R., Guo, Y., Zhang, S., Zou, X., Wang, N., Zhang, L., Tang, J., Chen, J., Wei, K., et al. (2015) · International Journal of Cancer · doi:10.1002/ijc.29227 · Cited by 622
Rodríguez‐Lobato, L. G., Pereira, A., Fernández de Larrea, C., Cibeira, M. T., Tovar, N., Jiménez‐Segura, R., Moreno, D. F., Oliver‐Caldés, A., Rosiñol, L., & Bladé, J. (2022) · British Journal of Haematology · doi:10.1111/bjh.17888 · Cited by 19
Distribution and characteristics of malignant tumours by lung lobe
Nilssen, Y., Brustugun, O. T., Fjellbirkeland, L., Helland, Å., Møller, B., Wahl, S. G. F., & Solberg, S. (2024) · BMC Pulmonary Medicine · doi:10.1186/s12890-024-02918-w · Cited by 11
“All-cause (overall) median survival and relative survival [18, 19] were estimated for each patient characteristic.”
Method
Metadata
- Authors
- Dickman, P. W., & Coviello, E.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2015-04
- Volume
- 15
- Issue
- 1
- Pages
- 186-215
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W2197587322
- Cited by
- 353
- References
- 41
- FWCI
- 7.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
