Probit analysis of preference data
Probit analysis of preference data
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DOI：
10.1303/aez.33.339
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发表时间：
1998-08-01
影响因子：
1.3
通讯作者：
Sakuma, M
中科院分区：
文献类型：
--
作者：
Sakuma, M
提出了一种概率单位分析方法，用于分析动物行为试验的偏好数据，其中观察到动物在给药侧和对照侧或区域之间的选择反应。为全有或全无现象设计的标准概率单位模型不适用于偏好分析，因为对数剂量代谢仅与选择间接相关。本方法使分析回归概率单位转换的净反应者的比例，表示在偏好模型方程，对对数剂量代谢。计算机程序包括对数似然函数的最大化例程、同质性检验和具有置信限的效价计算。在解释了基本模型以及包括自然偏好和免疫参数的广义回归模型之后，计算机输出通过报告统计数据展示了对两种蟑螂引诱剂的嗅觉计测定的分析。通过比较不同的广义模型对数据的适应性，制定了一个更好的实验设计。
A probit analysis method is presented for the analysis of preference data from a behavioural assay of animals, where responses were observed as animals' choice between the treatment and control sides or areas. Standard probit models designed for all or nothing phenomena are not applicable to preference assays, because a log dose metameter only indirectly correlates with the choice. The present method enabled analysis by regressing the probit transformation of the proportion of net responders, expressed in a preference model equation, on a log dose metameter. The computer program includes the maximization routine of the log-likelihood function, a test of homogeneity and a calculation of potency with fiducial limits. After the explanation of the basic model, as well as generalized regression models including the parameters of natural preference and immunity, a computer output demonstrated the analysis of an olfactometer assay on two cockroach attractants by reporting statistics. By comparing differently generalized models for fitness to the data, a preferable experimental design was formulated.