Department of Statistics, Islamic Azad University, Tehran, North Branch.
Neuropsychiatr Dis Treat. 2012;8:387-92. doi: 10.2147/NDT.S33991. Epub 2012 Aug 30.
The objective of the present study was to assess the comparable applicability of orthogonal projections to latent structures (OPLS) statistical model vs traditional linear regression in order to investigate the role of trans cranial doppler (TCD) sonography in predicting ischemic stroke prognosis. The study was conducted on 116 ischemic stroke patients admitted to a specialty neurology ward. The Unified Neurological Stroke Scale was used once for clinical evaluation on the first week of admission and again six months later. All data was primarily analyzed using simple linear regression and later considered for multivariate analysis using PLS/OPLS models through the SIMCA P+12 statistical software package. The linear regression analysis results used for the identification of TCD predictors of stroke prognosis were confirmed through the OPLS modeling technique. Moreover, in comparison to linear regression, the OPLS model appeared to have higher sensitivity in detecting the predictors of ischemic stroke prognosis and detected several more predictors. Applying the OPLS model made it possible to use both single TCD measures/indicators and arbitrarily dichotomized measures of TCD single vessel involvement as well as the overall TCD result. In conclusion, the authors recommend PLS/OPLS methods as complementary rather than alternative to the available classical regression models such as linear regression.
本研究旨在评估正交投影到潜在结构（OPLS）统计模型与传统线性回归在预测缺血性卒中预后中的应用价值。该研究纳入了 116 例入住神经内科病房的缺血性卒中患者。采用统一的神经卒中学评分量表在入院第一周进行一次临床评估，6 个月后再次评估。所有数据首先采用简单线性回归进行分析，然后通过 SIMCA P+12 统计软件包采用 PLS/OPLS 模型进行多变量分析。通过 OPLS 建模技术，对线性回归分析用于识别卒中预后 TCD 预测因子的结果进行了验证。与线性回归相比，OPLS 模型在检测缺血性卒中预后的预测因子方面显示出更高的敏感性，并且检测到了更多的预测因子。应用 OPLS 模型，可以同时使用 TCD 的单个测量值/指标以及任意二分法 TCD 单血管受累测量值以及整体 TCD 结果。总之，作者建议将 PLS/OPLS 方法作为对现有的经典回归模型（如线性回归）的补充，而不是替代。
