Results 161 to 170 of about 5,941,658 (334)
Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression. [PDF]
BMC Public Health, 2023 Manoochehri Z +3 more
europepmc +1 more source
American Journal of Hematology, EarlyView.ABSTRACT Nodal T‐follicular helper cell lymphoma (nTFHL), most commonly of angioimmunoblastic type, exhibits heterogeneous clinical outcomes that are not fully explained by current clinical and biological variables. While genetic alterations have been extensively investigated, its proteomic landscape remains largely unexplored.
David Beauvais +9 more
wiley +1 more source
Ordinal logistic regression [PDF]
Journal of Family Planning and Reproductive Health Care, 2008 openaire +2 more sources
Gaussian Processes for Ordinal Regression
, 2005 We present a probabilistic kernel approach to ordinal regression based on Gaussian processes. A threshold model that generalizes the probit function is used as the likelihood function for ordinal variables.
Wei Chu, Zoubin Ghahramani
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American Journal of Hematology, EarlyView.ABSTRACT Immune‐mediated thrombotic thrombocytopenic purpura (iTTP) is a life‐threatening thrombotic microangiopathy characterized by acute neurological manifestations and long‐term sequelae related to microvascular brain injury. Cerebral small vessel disease (cSVD), detectable on MRI through lacunes, microbleeds, white matter hyperintensities, and ...
Addolorata Truma +13 more
wiley +1 more source
Examination of morphological traits of children's faces related to perceptions of cuteness using Gaussian process ordinal regression. [PDF]
Front Psychol, 2022 Komori M +3 more
europepmc +1 more source
MIXNO: a computer program for mixed-effects nominal logistic regression [PDF]
MIXNO provides maximum marginal likelihood estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis of correlated nominal response data, for example, data arising from a clustered or longitudinal design. For
Donald Hedeker
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Probabilistic least squares approach to ordinal regression
, 2012 This paper proposes a novel approach to solve the ordinal regression problem using Gaussian processes. The proposed approach, probabilistic least squares ordinal regression (PLSOR), obtains the probability distribution over ordinal labels using a ...
P. K. Srijith +5 more
core +1 more source
American Journal of Industrial Medicine, EarlyView.ABSTRACT Background Exposures to human pathogens and toxins in licensed facilities in Canada have been monitored by a federal surveillance system since 2015, yet the affected persons (APs) in these incidents remain uncharacterized. This study comprehensively describes APs, highlighting sector‐specific patterns and trends over time.
Emily F. Tran +4 more
wiley +1 more source
Ordinal regression by extended binary classification [PDF]
, 2007 We present a reduction framework from ordinal regression to binary classification based on extended examples. The framework consists of three steps: extracting extended examples from the original examples, learning a binary classifier on the extended ...
Lin, Hsuan-Tien +3 more
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