ArticleStatistics in biopharmaceutical research2012
Comparing Two Exponential Distributions Using the Exact Likelihood Ratio Test.
Article in Statistics in biopharmaceutical research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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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.
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Who cites it
4 citing papers in PubMed.
- Testing violations of the exponential assumption in cancer clinical trials with survival endpoints.Biometrics · 2017Article
- Randomized phase II trial of fulvestrant alone or in combination with bortezomib in hormone receptor-positive metastatic breast cancer resistant to aromatase inhibitors: a New York Cancer Consortium trial.NPJ breast cancer · 2016Article
- Improved survival modeling in cancer research using a reduced piecewise exponential approach.Statistics in medicine · 2014Article
- Comparative effectiveness research in cancer genomics and precision medicine: current landscape and future prospects.Journal of the National Cancer Institute · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The exact two-sided likelihood ratio test for testing the equality of two exponential means is proposed and proved to be the uniformly most powerful unbiased test. This exact test has advantages over two alternative approaches in that it is unbiased and more powerful while maintaining the type I error. The use of the proposed test is demonstrated in a non-small cell lung cancer clinical trial design.
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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.