scholarly journals A classification of behavior regarding decision-making before committing rapes using latent class analysis

Author(s):  
Kazuki Hirama ◽  
Yusuke Otsuka ◽  
Kaeko Yokota ◽  
Taeko Wachi ◽  
Kazumi Watanabe
2006 ◽  
Vol 12 (5) ◽  
pp. 565-572 ◽  
Author(s):  
J NP Zwemmer ◽  
J Berkhof ◽  
J A Castelijns ◽  
F Barkhof ◽  
C H Polman ◽  
...  

Background Disease heterogeneity is a major issue in multiple sclerosis (MS). Classification of MS patients is usually based on clinical characteristics. More recently, a pathological classification has been presented. While clinical subtypes differ by magnetic resonance imaging (MRI) signature on a group level, a classification of individual MS patients based purely on MRI characteristics has not been presented so far. Objectives To investigate whether a restricted classification of MS patients can be made based on a combination of quantitative and qualitative MRI characteristics and to test whether the resulting subgroups are associated with clinical and laboratory characteristics. Methods MRI examinations of the brain and spinal cord of 50 patients were scored for 21 quantitative and qualitative characteristics. Using latent class analysis, subgroups were identified, for whom disease characteristics and laboratory measures were compared. Results Latent class analysis revealed two subgroups that mainly differed in the extent of lesion confluency and MRI correlates of neuronal loss in the brain. Demographics and disease characteristics were comparable except for cognitive deficits. No correlations with laboratory measures were found. Conclusions Latent class analysis offers a feasible approach for classifying subgroups of MS patients based on the presence of MRI characteristics. The reproducibility, longitudinal evolution and further clinical or prognostic relevance of the observed classification will have to be explored in a larger and independent sample of patients.


2020 ◽  
pp. 004947552097159
Author(s):  
Mojtaba Salimi ◽  
Ebrahim Shakiba ◽  
Eslam Moradi-Asl ◽  
Abbas Abbasi-Ghahramanloo ◽  
Keyvan Khassi

Cutaneous leishmaniasis is one of the main health-economic problems around the world. Data were collected from all patients with cutaneous leishmaniasis referred to the health centres of Kermanshah province between 2013 and 2019. Latent class analysis was conducted by PROC LCA in SAS 9.2 and a significant level was set at 0.05. Four latent classes were identified: low (33.8%), moderate (9.8%), high (22.4%) and very high risk (34.0%). The probability of having a travel history was high in the third class. Our study indicated that having history of an eschar has no role in the classification of patients. On the other hand, a positive smear test is important in classifying subjects. Our results indicate that more than half of all patients fell under high risk or very high-risk class. This emphasises the importance of planning preventive intervention by considering different risk factors of cutaneous leishmaniasis simultaneously.


2020 ◽  
Author(s):  
Lucas J. B. Oudheusden ◽  
Rens Schoot ◽  
Adriaan Hoogendoorn ◽  
Patricia Oppen ◽  
Maarten Kaarsemaker ◽  
...  

1984 ◽  
Vol 3 (3) ◽  
pp. 249-259 ◽  
Author(s):  
R. M. Pickering ◽  
J. F. Forbes

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