Estimation of the Benchmark Dose for Right-Censored Lifetime Data

In this paper, we consider estimating the benchmark dose in a dose-response study with right-censored lifetime data, where the benchmark dose is the dose corresponding to a specific benchmark response, which is related to the probability that the lifetime of a subject receiving the dose is too short...

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Bibliographic Details
Published inCommunications in statistics. Simulation and computation Vol. 44; no. 6; pp. 1514 - 1531
Main Authors Chen, Yuh-Ing, Lin, Wen-Ming
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 03.07.2015
Taylor & Francis Ltd
Subjects
62-07
Benchmark dose
Benchmarking
Computation
Computer simulation
Confidence limits
Estimating
Extra risk
Hazards
Monte Carlo methods
Monte Carlo simulation
Proportional hazards model
Receiving
Right-censored lifetime
Weibull extension distribution
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ISSN0361-0918
1532-4141
DOI10.1080/03610918.2013.813038

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Summary:In this paper, we consider estimating the benchmark dose in a dose-response study with right-censored lifetime data, where the benchmark dose is the dose corresponding to a specific benchmark response, which is related to the probability that the lifetime of a subject receiving the dose is too short. Under the Cox or Weibull extension proportional hazards model, simultaneous lower confidence limits on the benchmark dose are developed. We further conduct a Monte Carlo study to investigate the performance of the proposed lower confidence limits. Finally, a real dataset is illustrated to demonstrate the application of the proposed procedures.
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ISSN:0361-0918
1532-4141
DOI:10.1080/03610918.2013.813038