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用于联合分析多种异速生长的统计模型。

Statistical models for jointly analyzing multiple allometries.

机构信息

Institute of Animal Science, Chinese Academy of Agricultural Science, Beijing 100193, People's Republic of China.

出版信息

J Theor Biol. 2013 Feb 7;318:205-9. doi: 10.1016/j.jtbi.2012.11.001. Epub 2012 Nov 9.

Abstract

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.

摘要

作为简单异速方程的倒数,幂异速方程也可以用于定义异速缩放,但缩放指数的含义与简单异速方程相反。基于这一观察,建立了一个关于多个局部体型的整体体型的静态联合异速缩放模型,该模型不仅可以同时评估多个局部体型的异速缩放,还可以考虑多个局部体型之间的相关性,便于后续的统计推断和实践。由于个体发育的异速生长可能是时间依赖性的,因此可以使用多元逐步分析,通过联合分析整体和多个局部体型随生长时间的变化来估计个体发育的异速生长。异速缩放的联合分析适用于具有相同性质或可比性的多个生物特征和功能,这通过两个实例来说明。

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