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[动物实验代谢研究中测量准备的方法学方面]

[Methodological aspects of the preparation of measurements in animal experiment studies of metabolism].

作者信息

Peil J, Peschke E

出版信息

Gegenbaurs Morphol Jahrb. 1984;130(4):531-55.

PMID:6489727
Abstract

Methodical aspects are discussed concerning an analysis of time series which result from experimental investigations of metabolic parameters in rats. Especially there are 2 questions. Should the measured temporal variations of the metabolic parameters be recorded model-free by empirical regression or by functional expression? Before treatment, a time-period was designed in which the rats could become a stable group. Should be chosen a steady description of the temporal parameter changes for the whole time-period of the experiment or should they be described separately for the periods of acclimating and of treatment? Especially due to the discrete time points of measurements, the 1st approach also allows the description of possible jumps in the parameter changing at the begin of the treatment. As consequence of the 2nd mode of description always a jump results. Further parametric and non-parametric statistical procedures are used for analysis of the time series and for comparisons of the time courses. In detail following statistical problems are discussed: Homogeneity of dispersion along a single-measurements course or along a mean value course, equality resp. parallelism of 2 courses, and local or global level differences between 2 courses. Finally it is pointed out that besides the characterization of the mean temporal variations of a parameter also the description of correlation between 2 parameters by empirical regression curve may give information on the mechanisms which give rise to the observed phenomena.

摘要

本文讨论了对大鼠代谢参数进行实验研究所得时间序列分析的方法学问题。尤其有两个问题。代谢参数测量的时间变化是应通过经验回归无模型记录,还是通过函数表达式记录?在治疗前,设计了一个时间段,使大鼠能够形成一个稳定的组。对于整个实验时间段,应该选择对时间参数变化的稳定描述,还是应该分别描述适应期和治疗期的参数变化?特别是由于测量的时间点是离散的,第一种方法还允许描述治疗开始时参数变化中可能出现的跳跃。作为第二种描述方式的结果,总是会产生一个跳跃。进一步使用参数和非参数统计程序来分析时间序列并比较时间进程。详细讨论了以下统计问题:沿着单次测量过程或沿着平均值过程的离散同质性、两条过程的相等性或平行性,以及两条过程之间的局部或全局水平差异。最后指出,除了对参数平均时间变化的表征外,通过经验回归曲线描述两个参数之间的相关性也可能提供有关导致观察到的现象的机制的信息。

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