Results 281 to 290 of about 2,907,167 (317)

The gut microbiome, single nucleotide polymorphisms, and differentially expressed genes promote aggression in an ant

open access: yes
Krapf P   +9 more
europepmc   +1 more source

Multinomial and ordinal logistic regression

PM&R, 2021
Standard logistic regression handles binary outcomes such as disease/no disease. Researchers sometimes collapse outcomes with more than two groups into binary variables to enable use of this familiar model. However, this practice risks losing information
Kristin L. Sainani
openaire   +3 more sources

Multinomial Regression Versus Quantile

Quantile Regression in Clinical Research, 2021
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +2 more sources

Data mining topics in the discipline of library and information science: analysis of influential terms and Dirichlet multinomial regression topic model

Aslib Journal of Information Management, 2022
PurposeThe purpose of this study is to explore to which extent data mining research would be associated with the library and information science (LIS) discipline.
Sukjin You, Soohyung Joo, Marie Katsurai
semanticscholar   +1 more source

Vehicle collisions analysis on highways based on multi-user driving simulator and multinomial logistic regression model on US highways in Michigan

International Journal of Crashworthiness, 2022
Traffic collision on the highway has become a serious issue because they delay the sustainable development of society. Highway accidents on I-69 have one of the highest crash rates in the U.S. in Michigan and a higher fatality rate than average.
Abdulla I. M. Almadi   +5 more
semanticscholar   +1 more source

Hyperspectral Image Classification Powered by Khatri-Rao Decomposition based Multinomial Logistic Regression

IEEE Transactions on Geoscience and Remote Sensing, 2022
Multinomial logistic regression (MLR) is of great significance in hyperspectral image (HSI) classification within remote sensing community. It seeks the optimal regressors with logistic loss function. In the past, spatial information has been widely used
Xiaotao Wang
semanticscholar   +1 more source

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