The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Statistical aspects of prognostic factor studies in oncology
Open accessAbstract
Studies of new prognostic factors form an extensive part of the literature of oncology. Recent examples published in this journal include studies of patients with primary cerebral lymphoma (Blay et al., 1993), head and neck sarcomas (Eeles et al., 1993) and testicular cancer (Steyerberg et al., 1993). In some cases such studies may offer insight into the molecular pathogenesis of the disease. In others they may help in medical decision making; for example, in identifying which patients are at sufficiently high risk of recurrence to warrant a toxic or expensive treatment. Identification of major prognostic determinants can facilitate the design of further clinical trials, aid in inter-trial comparisons and guide the counselling of individual patients. Unfortunately, however, the results of different prognostic factor studies are often inconsistent or contradictory. Whereas widely accepted methodological principles have evolved to guide the design, conduct, analysis and reporting of clinical trials, no similar guidelines exist for prognostic factor studies. McGuire (1991), Levine et al. (1991) and Gasparini et al. (1993), discussed some general methodological problems with prognostic factor studies. Here we will consider some of the statistical problems common to prognostic factor studies as a step towards the development of broadly acceptable principles that might guide their conduct and reporting.
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Citations
Cites
Dangers of Using "Optimal" Cutpoints in the Evaluation of Prognostic Factors
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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-citationReporting Recommendations for Tumor Marker Prognostic Studies (REMARK)
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Self-citationMoons, K. G. M., Wolff, R. F., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., & Mallett, S. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1377 · Cited by 1,669
Why Most Discovered True Associations Are Inflated
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Self-citationPrognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research
Riley, R. D., Hayden, J. A., Steyerberg, E. W., Moons, K. G. M., Abrams, K., Kyzas, P. A., Malats, N., Briggs, A., Schroter, S., Altman, D. G., et al. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001380 · Cited by 823
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Self-citationBody Iron Stores and the Risk of Carotid Atherosclerosis: Prospective Results From the Bruneck Study
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New Criteria for Histologic Grading of Colorectal Cancer
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Reporting methods in studies developing prognostic models in cancer: a review
Mallett, S., Royston, P., Dutton, S., Waters, R., & Altman, D. G. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-20 · Cited by 206
“Clear and transparent reporting of how variables are coded in the model is necessary so the model can be repeated and applied in clinical practice [73].”
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Metadata
- Authors
- Simon, R., & Altman, D.
- Venue
- British Journal of Cancer
- Published
- 1994-06-01
- Volume
- 69
- Issue
- 6
- Pages
- 979-985
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- OpenAlex
- W2056577131
- Cited by
- 582
- References
- 1
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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