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Graph clustering and prediction models for DISC-based personality and competency analysis. [PDF]

Sci Rep
Samanta S, Allahviranloo T, Mrsic L, Kalampakas A, Usta Ergün SB.   +4 more
europepmc   +1 more source

Breastfeeding, Family Stress, and Climate as Key Determinants of Atopic Dermatitis Severity in Children: A Cross-Sectional Study. [PDF]

Clin Cosmet Investig Dermatol
Molla A, Althobaiti S.
europepmc   +1 more source

Sex Differences in Amyloid Pathology by Race, Ancestry, and Apolipoprotein E ε4 in an Admixed Autopsy Sample.

JAMA Neurol
Abu Raya M, Suemoto CK, Paes VR, Leite REP, Pasqualucci CA, Naslavsky MS, Rodriguez RD, Nitrini R, Ferriolli E, Allen IE, La Joie R, Grinberg LT.   +11 more
europepmc   +1 more source

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Classification trees for ordinal variables

Computational Statistics, 2007
Classification trees growing algorithms are considered for the case when there is an ordering of the response variable values. New versions of the Gini-Simpson and Twoing criteria are proposed for the choice of the nodes to split, which are consistent with the ordering.
openaire   +2 more sources

Ordinal-Level Variables, II

2018
This chapter examines measures of association designed for two ordinal-level variables that are based on pairwise comparisons of differences between rank scores. Included in Chap. 5 are Kendall’s τa and τb measures of ordinal association, Stuart’s τc measure, Goodman and Kruskal’s γ measure, Somers’ dyx and dxy measures, Kim’s dy⋅x and dx⋅y measures ...
Kenneth J. Berry, Janis E. Johnston, Paul W. Mielke   +2 more
openaire   +1 more source

On the Nonlinearity of Homogeneous Ordinal Variables

2011
The paper aims at evaluating the nonlinearity existing in homogeneous ordinal data with a one-dimensional latent variable, using Linear and NonLinear Principal Components Analysis. The results of a simulation study with Probabilistic and Monte Carlo gauges show that, when variables are linearly related, a source of nonlinearity can affect each single ...
CARPITA, Maurizio, MANISERA, Marica
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On the Impact of Misclassification in an Ordinal Exposure Variable

Epidemiologic Methods, 2014
Abstract Say that interest focuses on the relationship between an exposure variable and an outcome variable; however, the exposure variable is subject to measurement error. While exceptions have been identified, in almost all circumstances nondifferential measurement error leads to attenuated regression coefficients and lost power to ...
Wang, Dongxu, Gustafson, Paul
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