The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Relative survival and the estimation of net survival: Elements for further discussion
Abstract
The methods of calculation of survival corrected for independent cause of death are discussed, and a maximum likelihood method is proposed and illustrated by survival of colon cancer patients in Geneva. The methods which are at present favoured for doing such calculations are subject to various biases when estimating net survival if the populations are heterogeneous for life expectancy. The proposed maximum likelihood approach would eliminate these biases by enabling relevant adjustment for covariates which influence survival. The routine use of such methods would permit better comparison of survival within and between populations.
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Citations
Cites
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
Nonparametric Inference for a Family of Counting Processes
Aalen, O. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344247 · Cited by 1,483
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
Analysis of Survival Data under the Proportional Hazards Model
Breslow, N. E. (1975) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1402659 · Cited by 590
Cancer Survival Corrected for Heterogeneity in Patient Withdrawal
Hakulinen, T. (1982) · Biometrics · doi:10.2307/2529873 · Cited by 453
Regression Analysis of Relative Survival Rates
Hakulinen, T., & Tenkanen, L. (1987) · Applied Statistics · doi:10.2307/2347789 · Cited by 246
Piecewise Exponential Models for Survival Data with Covariates
Friedman, M. (1982) · The Annals of Statistics · doi:10.1214/aos/1176345693 · Cited by 214
On long-term relative survival rates
Hakulinen, T. R. (1977) · Journal of Chronic Diseases · doi:10.1016/0021-9681(77)90036-4 · Cited by 153
Andersen, P. K., Borch‐Johnsen, K., Deckert, T., Green, A., Hougaard, P., Keiding, N., & Kreiner, S. (1985) · Biometrics · doi:10.2307/2530964 · Cited by 120
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A comparison of nationwide cancer survival statistics in Finland and Norway.
Hakulinen, T. R. (1983) · PubMed · Cited by 24
Cited by
Coleman, M., Forman, D., Bryant, H., Butler, J., Rachet, B., Maringe, C., Nur, U., Tracey, E., Coory, M., Hatcher, J., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62231-3 · Cited by 1,114
Cancer survival in five continents: a worldwide population-based study (CONCORD)
Coleman, M. P., Quaresma, M., Berrino, F., Lutz, J.-M., De Angelis, R., Capocaccia, R., Baili, P., Rachet, B., Gatta, G., Hakulinen, T., et al. (2008) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70179-7 · Cited by 1,002
Messing, B., Crenn, P., Beau, P., Boutron-Ruault, M. C., Rambaud, J.-C., & Matuchansky, C. (1999) · Gastroenterology · doi:10.1016/s0016-5085(99)70388-4 · Cited by 632
Estimating and Modeling Relative Survival
Dickman, P. W., & Coviello, E. (2015) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1501500112 · Cited by 353
Flexible parametric models for relative survival, with application in coronary heart disease
Nelson, C. P., Lambert, P. C., Squire, I. B., & Jones, D. R. (2007) · Statistics in Medicine · doi:10.1002/sim.3064 · Cited by 256
Metadata
- Authors
- Estève, J., Benhamou, E., Croasdale, M., & Raymond, L.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1990-05
- Volume
- 9
- Issue
- 5
- Pages
- 529-538
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2130815904
- Cited by
- 422
- References
- 12
- FWCI
- 1.74
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
