Shelf-life and its estimation in drug stability studies

被引:4
作者
Liu, W. [1 ,2 ]
Hsu, J. C. [3 ]
Bretz, F. [4 ,5 ]
Hayter, A. J. [6 ]
Han, Y. [1 ,2 ]
机构
[1] Univ Southampton, S3RI, Southampton, Hants, England
[2] Univ Southampton, Sch Maths, Southampton, Hants, England
[3] Ohio State Univ, Dept Stat, Columbus, OH 43210 USA
[4] Novartis Pharma AG, Basel, Switzerland
[5] Shanghai Univ Finance & Econ, Shanghai, Peoples R China
[6] Univ Denver, Dept Stat & Operat Technol, Denver, CO USA
关键词
acceptance set; confidence set; lower confidence bound; confidence level; drug stability study; shelf-life; linear regression; mixed-effects linear regression; POOLING BATCHES; INTERVALS;
D O I
10.1080/02664763.2014.898135
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
One important property of any drug product is its stability over time. Drug stability studies are routinely carried out in the pharmaceutical industry in order to measure the degradation of an active pharmaceutical ingredient of a drug product. One important study objective is to estimate the shelf-life of the drug; the estimated shelf-life is required by the US Food and Drug Administration to be printed on the package label of the drug. This involves a suitable definition of the true shelf-life and the construction of an appropriate estimate of the true shelf-life. In this paper, the true shelf-life T is defined as the time point at which 100% of all the individual dosage units (e.g. tablets) of the drug have the active ingredient content no less than the lowest acceptable limit L, where and L are prespecified constants. The value of T depends on the parameters of the assumed degradation model of the active ingredient content and so is unknown. A lower confidence bound T for T is then provided and used as the estimated shelf-life of the drug.
引用
收藏
页码:1989 / 2000
页数:12
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