ArticleBMC medical research methodology2016
Comparing survival curves based on medians.
Article in BMC medical research methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Long-term survival after treatment of unruptured intracranial aneurysms: A population-based perspective.Brain & spine · 2026Article
- Optimal timing of chemoradiation after resection or biopsy of glioblastomas: a nationwide population-based study.BMC cancer · 2024Article
- Studentized permutation method for comparing two restricted mean survival times with small sample from randomized trials.Statistics in medicine · 2023Article
- Mistakes to Avoid for Accurate and Transparent Reporting of Survival Analysis in Imaging Research.Korean journal of radiology · 2021Article
- Review of statistical methods for survival analysis using genomic data.Genomics & informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundAlthough some nonparametric methods have been proposed in the literature to test for the equality of median survival times for censored data in medical research, in general they have inflated type I error rates, which make their use limited in practice, especially when the sample sizes are small.
methodsIn this paper, we propose a new nonparametric test with a simple test statistic to compare median survival times.
resultsThe results from our comprehensive simulation study show the new test controls type I error rate very well under all situations considered, even for small sample sizes. In addition, it has comparable detecting power compared to existing methods. Another advantage of the proposed test is its relatively simple formula that requires less computation.
conclusionsWe propose a new statistical method for comparing survival curves based on their medians. The new method can be easily implemented and applied to censored event time data.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.