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dc.contributor.authorShieh, Gwowenen_US
dc.date.accessioned2018-08-21T05:53:03Z-
dc.date.available2018-08-21T05:53:03Z-
dc.date.issued2017-12-01en_US
dc.identifier.issn0010-4825en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.compbiomed.2017.10.015en_US
dc.identifier.urihttp://hdl.handle.net/11536/144210-
dc.description.abstractCovariate-dependent reference limits have been extensively applied in biology and medicine for determining the substantial magnitude and relative importance of quantitative measurements. Confidence interval and sample size procedures are available for studying regression-based reference limits. However, the existing popular methods employ different technical simplifications and are applicable only in certain limited situations. This paper describes exact confidence intervals of regression-based reference limits and compares the exact approach with the approximate methods under a wide range of model configurations. Using the ratio between the widths of confidence interval and reference interval as the relative precision index, optimal sample size procedures are presented for precise interval estimation under expected ratio and tolerance probability considerations. Simulation results show that the approximate interval methods using normal distribution have inaccurate confidence limits. The exact confidence intervals dominate the approximate procedures in one- and two-sided coverage performance. Unlike the current simplifications, the proposed sample size procedures integrate all key factors including covariate features in the optimization process and are suitable for various regression-based reference limit studies with potentially diverse configurations. The exact interval estimation has theoretical and practical advantages over the approximate methods. The corresponding sample size procedures and computing algorithms are also presented to facilitate the data analysis and research design of regression-based reference limits.en_US
dc.language.isoen_USen_US
dc.subjectPercentileen_US
dc.subjectPrecisionen_US
dc.subjectQuantileen_US
dc.subjectReference limiten_US
dc.subjectSample sizeen_US
dc.titlePrecise confidence intervals of regression-based reference limits: Method comparisons and sample size requirementsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.compbiomed.2017.10.015en_US
dc.identifier.journalCOMPUTERS IN BIOLOGY AND MEDICINEen_US
dc.citation.volume91en_US
dc.citation.spage191en_US
dc.citation.epage197en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000417660400017en_US
Appears in Collections:Articles