The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Time to event (survival) data: Table 1.
Open accessAbstract
In many medical studies an outcome of interest is the time to an event. Such events may be adverse, such as death or recurrence of a tumour; positive, such as conception or discharge from hospital; or neutral, such as cessation of breast feeding. It is conventional to talk about survival data and survival analysis, regardless of the nature of the event. Similar data also arise when measuring the time to complete a task, such as walking 50 metres. The distinguishing feature of survival data is that at the end of the follow up period the event will probably not have occurred for all patients. For these patients the survival time is said to be censored, indicating that the observation period was cut off before the event occurred. We do not know when (or, indeed, whether) the patient will experience the event, only that he or she has not done so by the end of the observation period. Censoring may also occur in other ways. Patients may be lost to follow up during the study, or they may experience a “competing” event which makes further follow up impossible. For example, patients being followed …
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The study calculated Kaplan-Meier estimates of median posttransplant survival and 1-year and 5-year survival percentages for CF, COPD, and IPF cohorts and for BMI strata of the CF cohort.
“We calculated Kaplan-Meier estimates15 of median posttransplant survival time together with 1-year and 5-year posttransplant survival percentages for CF, COPD, and IPF cohorts, and for BMI strata of the CF cohort.”
From Underweight Patients With Cystic Fibrosis Have Acceptable Survival Following Lung Transplantation (2020) · cites this paper as [15]
The citation is attached to “Kaplan-Meier estimates,” not to the citing authors’ own transplant cohorts or calculations. In “Time to event (survival) data” (p. 2), the source discusses the need for methods that handle censored survival data but says it will consider analysis methods in subsequent notes. A search for Kaplan-Meier estimates found no passage identifying or explaining that estimator. (LLM, conf=0.78)
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Cites
Kirk, A. P., Jain, S., Pocock, S., Thomas, H. C., & Sherlock, S. (1980) · Gut · doi:10.1136/gut.21.1.78 · Cited by 284
Long-term Survival and Mortality in Prostate Cancer Treated with Noncurative Intent
Aus, G., Hugosson, J., & Norlen, L. J. (1995) · The Journal of Urology · doi:10.1016/s0022-5347(01)67074-5 · Cited by 193
Halpern, D. F., & Coren, S. (1991) · New England Journal of Medicine · doi:10.1056/nejm199104043241418 · Cited by 96
Handedness and longevity: archival study of cricketers
Aggleton, J. P., Bland, J. M., Kentridge, R. W., & Neave, N. (1994) · BMJ · doi:10.1136/bmj.309.6970.1681 · Cited by 38
Self-citationHandedness and Mortality Risk in Older Women
Cerhan, J. R., Folsom, A. R., Potter, J. D., et al. (1994) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117259 · Cited by 21
Khaw, K. (1997) · BMJ · doi:10.1136/bmj.314.7087.1132 · Cited by 16
Re: Long-Term Survival and Mortality in Prostate Cancer Treated with Noncurative Intent
Abrahamsson, P. A., Adami, H. O., Taube, A., et al. (1996) · The Journal of Urology · doi:10.1016/s0022-5347(01)66644-8 · Cited by 14
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Time-dependent bias was common in survival analyses published in leading clinical journals
van Walraven, C., Davis, D., Forster, A. J., & Wells, G. A. (2004) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2003.12.008 · Cited by 337
Underweight Patients With Cystic Fibrosis Have Acceptable Survival Following Lung Transplantation
Ramos, K. J., Kapnadak, S. G., Bradford, M. C., Somayaji, R., Morrell, E. D., Pilewski, J. M., Lease, E. D., Mulligan, M. S., Aitken, M. L., Gries, C. J., et al. (2020) · Chest · doi:10.1016/j.chest.2019.11.043 · Cited by 42
Metadata
- Authors
- Altman, D. G., & Bland, J. M.
- Affiliations
- University of Oxford (GB)
- ORCID
- Altman, Douglas G
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1998-08-15
- Volume
- 317
- Issue
- 7156
- Pages
- 468.1-469
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC1113717
- OpenAlex
- W1535304343
- Cited by
- 175
- References
- 7
- Citations by year
- 2026: 9 · 2025: 7 · 2024: 9 · 2023: 8 · 2022: 3 · 2021: 7 · 2020: 8 · 2019: 10 · 2018: 3 · 2017: 5 · 2016: 2 · 2015: 6 · 2014: 9 · 2013: 5 · 2012: 5
- FWCI
- 3.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
- Locations
- BMJ (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- survival analysis, time to event, censored data, censoring, competing events, loss to follow-up, medical outcomes
- MeSH terms
- Survival Rate, Survival Analysis
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