Efficient Analysis of Dose-Time-Response Assays

被引:1
作者
Yellowlees, Ann [1 ]
Lebutt, Chris S. [2 ]
Hirst, Karie J. [3 ]
Fusco, Peter C. [3 ]
Fleetwood, Kelly J. [1 ]
机构
[1] Quant Consulting, Edinburgh, Midlothian, Scotland
[2] Porton Down, Def Sci & Technol Lab, Salisbury, Wilts, England
[3] PharmAthene, Annapolis, MD USA
基金
美国国家卫生研究院;
关键词
biological assay; survival analysis; bioassay; statistics; simulation; PROPORTIONAL HAZARDS MODEL; INTERVAL;
D O I
10.1525/bio.2013.63.6.11
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Two approaches to the estimation of relative potency for dose time response assays are compared: the application of a generalized linear model to the dichotomized responses and survival analysis of the time to response. Survival analysis is widely used in other fields; however, its application to bioassays has been uncommon. A description of the application of survival analysis to bioassays is provided. A worked example follows, using mouse challenge assay data. This demonstrates that estimates of relative potency based on the time to response can have considerably lower variance than those based on dichotomized responses. A simulation study further supports this conclusion. Routine use of survival analysis techniques has the potential to reduce the number of animals used in bioassay trials by ensuring that the maximum value is recovered from each animal, in line with the new European Union directive on the protection of animals used for scientific purposes.
引用
收藏
页码:490 / 498
页数:9
相关论文
共 10 条
[1]  
[Anonymous], 2003, Modelling Survival Data in Medical Research
[2]  
Callahan J.D., 2003, BioProcess. J, V2, P71
[3]   Dose-time-response cumulative multinomial generalized linear model [J].
Chen, D. G. .
JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2007, 17 (01) :173-185
[4]  
Council of Europe, 2011, EUROPEAN PHARMACOPOE, P551
[5]   A PROPORTIONAL HAZARDS MODEL FOR INTERVAL-CENSORED FAILURE TIME DATA [J].
FINKELSTEIN, DM .
BIOMETRICS, 1986, 42 (04) :845-854
[6]  
Finney D. J., 1964, STAT METHOD BIOL ASS, V2nd
[7]  
Hauck WW, 2005, PDA J PHARM SCI TECH, V59, P127
[8]  
Huang J, 1996, ANN STAT, V24, P540
[9]   A MIXTURE MODEL FOR INTERVAL-CENSORED TIME-TO-RESPONSE QUANTAL ASSAY DATA [J].
PACK, SE ;
MORGAN, BJT .
BIOMETRICS, 1990, 46 (03) :749-757
[10]   Extending the iterative convex minorant algorithm to the Cox model for interval-censored data [J].
Pan, W .
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 1999, 8 (01) :109-120