Evidence for risk of bias in cluster randomised trials: review of recent trials published in three general medical journals [PDF]
, 2003 Objective To examine the prevalence of a risk of bias associated with the design and conduct of cluster randomised controlled trials among a sample of recently published studies.
Puffer, S, Torgerson, D J, Watson, J
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Universal Jump in the Helicity Modulus of the Two-Dimensional Quantum XY Model [PDF]
, 1997 The helicity modulus of the S=1/2 XY model is precisely estimated through a world line quantum Monte Carlo method enhanced by a cluster update algorithm.
Harada, Kenji, Kawashima, Naoki
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A New Cluster Validity Index Based on the Adjustment of Within-Cluster Distance
IEEE Access, 2020 The evaluation on clustering results is an important component of clustering analysis, which can be conducted by the cluster validity index. However, the performances of most existing indices depend on not only the specific clustering algorithms but also
Qi Li +4 more
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The reliability and validity of the SF-8 with a conflict-affected population in northern Uganda. [PDF]
, 2008 BACKGROUND: The SF-8 is a health-related quality of life instrument that could provide a useful means of assessing general physical and mental health amongst populations affected by conflict.
Browne, John +4 more
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Nanovoid nucleation by vacancy aggregation and vacancy-cluster coarsening in high-purity metallic single crystals [PDF]
, 2011 A numerical model to estimate critical times required for nanovoid nucleation in high-purity aluminum single crystals subjected to shock loading is presented. We regard a nanovoid to be nucleated when it attains a size sufficient for subsequent growth by
Marian, J., Ortiz, M., Reina, C.
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Frontiers in Neurology, 2021 We aimed to (1) apply cluster analysis techniques to mixed-type data (numerical and categorical) from baseline neuropsychological standard and widely used assessments of patients with acquired brain injury (ABI) (2) apply state-of-the-art cluster ...
Alejandro García-Rudolph +18 more
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A Modified Intuitionistic Fuzzy Clustering Algorithm for Medical Image Segmentation
Journal of Intelligent Systems, 2018 This paper presents a modified intuitionistic fuzzy clustering (IFCM) algorithm for medical image segmentation. IFCM is a variant of the conventional fuzzy C-means (FCM) based on intuitionistic fuzzy set (IFS) theory.
Aruna Kumar S.V., Harish B.S.
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Parameter Choice, Stability and Validity for Robust Cluster Weighted Modeling
Stats, 2021 Statistical inference based on the cluster weighted model often requires some subjective judgment from the modeler. Many features influence the final solution, such as the number of mixture components, the shape of the clusters in the explanatory ...
Andrea Cappozzo +3 more
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Multiwavelength analysis of the young open cluster NGC 2362 [PDF]
, 2006 We present a multiwavelength analysis of the young open cluster NGC 2362. UBVRcIc CCD photometric observations, together with available data in the Chandra data base, near infrared data from the Two Micron All Sky Survey (2MASS), and recently published ...
A. J. Delgado +7 more
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Heuristic possibilistic clustering for detecting optimal number of elements in fuzzy clusters
Foundations of Computing and Decision Sciences, 2016 The paper deals with the problem of discovering fuzzy clusters with optimal number of elements in heuristic possibilistic clustering. The relational clustering procedure using a parameter that controls cluster sizes is considered and a technique for ...
Viattchenin Dmitri A.
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