A two-part mixed effects model for cigarette purchase task data.
A two-part mixed effects model for cigarette purchase task data.
复制标题
香烟购买任务数据的两部分混合效应模型。
DOI：
10.1002/jeab.228
复制
发表时间：
2016
影响因子：
2.7
通讯作者：
Thomas,JanetL
中科院分区：
文献类型：
--
作者：
Zhao,Tingting;Luo,Xianghua;Chu,Haitao;Le,ChapT;Epstein,LeonardH;Thomas,JanetL
卷烟购买任务是一种行为经济学评估工具，旨在衡量吸烟在不同价格上的相对强化效果。指数需求方程已成为分析采购任务数据的标准模型，但它的实用性因其无法适应零消耗的值而受到影响。我们提出了一个两部分混合效应模型，该模型保持相同的指数需求方程来模拟非零消费价值，同时为零消费和非零消费的二元结果提供Logistic回归。因此，该模型既能适应零耗值，又能保持指数型需求方程的特征。作为一个副产品，该模型的Logistic回归部分提供了一个新的需求指数，即“派生断点”，当价格高于该点时，受试者戒烟的可能性比吸烟的可能性更大。我们将建议的模型应用于从大学生(N=1,217)基线收集的数据，这些大学生参加了一项随机临床试验，利用经济激励来激励戒烟。蒙特卡罗模拟表明，所提出的模型比现有模型具有更好的拟合效果。我们注意到，拟议的方法也适用于其他采购任务数据，例如滥用药物。
The Cigarette Purchase Task is a behavioral economic assessment tool designed to measure the relative reinforcing efficacy of cigarette smoking across different prices. An exponential demand equation has become a standard model for analyzing purchase task data, but its utility is compromised by its inability to accommodate values of zero consumption. We propose a two‐part mixed effects model that keeps the same exponential demand equation for modeling nonzero consumption values, while providing a logistic regression for the binary outcome of zero versus nonzero consumption. Therefore, the proposed model can accommodate zero consumption values and retain the features of the exponential demand equation at the same time. As a byproduct, the logistic regression component of the proposed model provides a new demand index, the “derived breakpoint”, for the price above which a subject is more likely to be abstinent than to be smoking. We apply the proposed model to data collected at baseline from college students (N= 1,217) enrolled in a randomized clinical trial utilizing financial incentives to motivate tobacco cessation. Monte Carlo simulations showed that the proposed model provides better fits than an existing model. We note that the proposed methodology is applicable to other purchase task data, for example, drugs of abuse.