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Statistical models for jointly analyzing multiple allometries

文献类型： 外文期刊

作者： Gao, Huijiang 1 ; Liu, Yongxin 2 ; Zhang, Tingting 3 ; Yang, Runqing 4 ; Yang, Huanmin 6 ;

作者机构： 1.Chinese Acad Agr Sci, Inst Anim Sci, Beijing 100193, Peoples R China

2.Chinese Acad Fishery Sci, Res Ctr Aquat Biotechnol, Beijing 100141, Peoples R China

3.Univ Notre Dame, Dept Appl & Computat Math & Stat, Notre Dame, IN 46556 USA

4.Chinese Acad Fishery Sci, Res Ctr Fisheries Recourse & Environm, Beijing 100141, Peoples R China

5.Shanghai Jiao Tong Univ, Sch Agr & Biol, Shanghai 200240, Peoples R China

6.Heilongjiang Bayi Agr Univ, Coll Anim Sci & Vet Med, Daqing 163319, Peoples R China

关键词： Correlation;Joint allometry analysis;Multiple partial body size;Scaling exponent

期刊名称：JOURNAL OF THEORETICAL BIOLOGY （ 影响因子：2.691； 五年影响因子：2.374 ）

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收录情况： SCI

摘要： As the reciprocal of simple allometry equation, power allometry equation can also be used to define allometry scaling but the scaling exponent has an opposite meaning to that of simple allometry equation. Based on this observation, a joint static allometry scaling model of entire body size on multiple partial body size is established, which can not only simultaneously evaluate allometry scaling of multiple partial body sizes, but also take into account the correlations among multiple partial body sizes, facilitating subsequent statistical inference and practice. Since ontogenetic allometry may be time-dependent, ontogenetic allometry is estimated by jointly analyzing changes of entire and multiple partial body sizes as growth time using multivariate stepwise analysis. Joint analysis of allometry scaling is suitable for multiple biological traits and functions with same property or comparability, which is illustrated by two examples.

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