The assessment of change in patient-reported outcomes is hindered by the fact that there are different types of change. Besides 'true' change, different types of response shift, such as recalibration, ...

第1部第4章第1節における構造方程式モデリングを用いた分析方法について、補足を行う。 構造方程式モデリング（SEM：Structural Equation Modeling）とは、仮説として設定した多数の変数間の関係を、線形結合の形にモデリングして行う分析をいう。仮説の妥当性 ...

Background Patient-perceived global ratings of change are often used as anchors of health-related quality of life (HRQoL) since they are easy for clinicians to interpret and incorporate the patient's ...

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

Statistical model infrastructures at financial institutions are often developed using a piecemeal approach to model building, in which different components of complex interrelated statistical models ...

Regulators need a method that is versatile, is easy to use and can handle complex path models with latent (not directly observable) variables. In a first application of partial least squares ...