Sherrill D L, Swanson G D
J Appl Physiol Respir Environ Exerc Physiol. 1984 Feb;56(2):536-9. doi: 10.1152/jappl.1984.56.2.536.
The ventilatory response to changes in alveolar (arterial) CO2 is widely used as an index of respiratory control behavior. Methods for estimating these response slopes should incorporate the possibility that there may be errors in both the independent (partial pressure of CO2) and dependent (ventilation) variables. In a recent paper Daubenspeck and Ogden (J. Appl. Physiol. Respirat. Environ. Exercise Physiol. 45:823-829, 1978) have suggested problems inherent in the traditional technique of reduced major axis and have suggested a more contemporary technique of directional statistics. We have previously analyzed both techniques and developed a method to overcome the problems of reduced major axis and problems inherent in the use of directional statistics. Under the assumption of a bivariate normal distribution, we demonstrate that our slope estimate is similar to the maximum likelihood estimate proposed by Mardia et al. (J. Appl. Physiol.: Respirat. Environ. Exercise Physiol. 54: 309-313, 1983) for this problem. In addition, we demonstrate a bootstrap statistical approach when the distributions are not normally distributed. These concepts are illustrated using O2-CO2 interaction data.
对肺泡(动脉)二氧化碳变化的通气反应被广泛用作呼吸控制行为的指标。估计这些反应斜率的方法应考虑到自变量(二氧化碳分压)和因变量(通气)都可能存在误差的可能性。在最近一篇论文中,道本斯佩克和奥格登(《应用生理学杂志:呼吸、环境与运动生理学》45:823 - 829,1978年)指出了传统主轴缩短技术中固有的问题,并提出了一种更现代的方向统计学技术。我们之前已经分析了这两种技术,并开发了一种方法来克服主轴缩短问题以及使用方向统计学时固有的问题。在双变量正态分布的假设下,我们证明我们的斜率估计与马尔迪亚等人(《应用生理学杂志:呼吸、环境与运动生理学》54:309 - 313,1983年)针对此问题提出的最大似然估计相似。此外,当分布不呈正态分布时,我们展示了一种自助统计方法。使用氧 - 二氧化碳相互作用数据对这些概念进行了说明。