ArticleBiostatistics (Oxford, England)2013
Estimating incremental cost-effectiveness ratios and their confidence intervals with different terminating events for survival time and costs.
Article in Biostatistics (Oxford, England), 2013. 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.
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Who cites it
5 citing papers in PubMed.
- Regression methods for cost-effectiveness analysis with different censoring times or terminating events for survival time and costs.Biometrics · 2026Article
- Cost Analysis of PSMA-PET in the PROSPET-BX Trial.Cancers · 2026Article
- The Feasibility of Combining Cost-Effectiveness, Bayesian Meta-Analysis and Meta-Regression Techniques When Evaluating Melanoma Treatment Methods.OncoTargets and therapy · 2026Review
- Mean Cost and Cost-Effectiveness Ratios with Censored Data: a Tutorial and SASBiostatistics & epidemiology · 2025Article
- Nonparametric inference for time-dependent incremental cost-effectiveness ratios.Statistics in medicine · 2015Article
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
Cost-effectiveness analysis (CEA) is an important component of the economic evaluation of new treatment options. In many clinical and observational studies of costs, censored data pose challenges to the CEA. We consider a special situation where the terminating events for the survival time and costs are different. Traditional methods for statistical inference offer no means for dealing with censored data in these circumstances. To address this gap, we propose a new method for deriving the confidence interval for the incremental cost-effectiveness ratio. The simulation studies and real data example show that our method performs very well for some practical settings, revealing a great potential for application to actual settings in which terminating events for the survival time and costs differ.
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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.