Fatigue is a major complaint among advanced cancer patients. Several instruments are available for measuring fatigue. The EORTC QLQ-C30 is one of the most frequently used health-related quality of life (HRQOL) instruments, and it includes a three-item fatigue subscale. Limited knowledge exists about the validity, performance and sensitivity of EORTC QLQ-C30 fatigue scale as compared with a fati...

Introduction MRI voxelwise analysis enables quantification of subtle differences between subject groups. However its results could be effected by preprocessing steps (registration, smoothing etc). Tract based spatial statistics (TBSS) is a multi-subject voxelwise diffusion analysis tool which is proposed to be less susceptible to registration and smoothing artifacts [1]. In this study, we used ...

PURPOSE To determine the frequency of neovascularization subtypes as determined by fluorescein angiography (FA) alone vs FA and optical coherence tomography (OCT) grading in age-related macular degeneration (AMD). DESIGN Retrospective cohort. METHODS participants: Newly diagnosed neovascular AMD patients who initiated intravitreal anti-vascular endothelial growth factor therapy by 1 physici...

Kaiser’s single-variable measure of sampling adequacy (MSA) is a very useful index for debugging inappropriate items before factor analysis (FA) solution fitted to an item-pool dataset item selection purposes. For reasons discussed in the article, however, MSA hardly used nowadays this context. In our view, unfortunate. present proposal, we first dis...

Background and purpose: Diffusion tensor imaging can provide information about microstructural changes of the visual pathway in glaucoma patients. Tract-based spatial statistics (TBSS) has been established for analysis of fractional anisotropy (FA) and has successfully been used for analysis of DTI data of glaucoma patients. However there are certain DTI indices such as mean diffusivity (MD), r...

Probabilistic Principal Component Analysis (PPCA) based low dimensional representation of speech utterances is found to be useful for speaker recognition. Although, performance of the FA (Factor Analysis)-based total variability space model is found to be superior, hyperparameter estimation procedure in PPCA is computationally efficient. In this work, recent insight on the FA-based approach as ...

The objective of this paper is to compare four dimension reduction techniques used for extracting the underlying systematic risk factors driving returns on equities Mexican Market. methodology compares results estimation produced by Principal Component Analysis (PCA), Factor (FA), Independent (ICA), and Neural Networks (NNPCA) under three different perspectives. showed that in general: PCA, FA,...

Functional ability (FA) is here defined as having no limitations in five questions related to the ICF dimensions “Activity” and “Participation” (ICF=International Classification of Functioning). The aim was to explore how individual and contextual factors were associated with FA in each gender, and to explore to what extent physical activity (PA) and this measure of FA used in large multipurpos...