Multivariate hierarchical regression models with demographics ... As in Study 1, the statistical analyses were performed with IBM SPSS and AMOS version 29.0 and completed in four steps: Step 1: First, ...

Descriptive statistics about the presence and quality of the patient information were analysed using SPSS 14.0. The ... was analysed with multilevel regression analysis. Multilevel analysis was used ...

21.0 for Windows (SPSS, IBM). Risk factors for DSH and SA were first analysed using univariate logistic regression analysis, with one variable at a time. Hierarchical multiple regression strategies ...

Crude associations between the dependent variables exacerbation total recovery time and unscheduled healthcare utilisation and the independent dichotomous variable adherence to the action plan were ...

Multinomial regression models are used to address the research aims ... Health capital approaches to treatment inequalities align with the hierarchical relationships assumed by the aforementioned ...

To examine whether neighbourhood social cohesion and its two domains ‘social cohesion’ and ‘neighbourhood belonging’ as measured using HK-NCI would be associated with the three dimensions of ...

This article proposes Hierarchical Diffusion Policy (HDP), a new robot manipulation policy of using contact points to guide the generation of robot trajectories. The policy is divided into two layers: ...

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional ...

We established a public benchmark dataset with cracks in multiple scales and scenes to evaluate the crack detection systems. All of the crack images in our dataset are manually annotated. Please note ...

To address the above issues, a hierarchical multiscale time-frequency and channel feature adaptive fusion (HMTF-CFAF) network is put forward. The HMTF-CFAF efficiently extracts unique multiscale ...