Zero-inflated generalized Dirichlet multinomial regression model for microbiome compositional data analysis. [PDF]
Biostatistics, 2019 There is heightened interest in using high-throughput sequencing technologies to quantify abundances of microbial taxa and linking the abundance to human diseases and traits.
Tang ZZ, Chen G.
europepmc +4 more sources
A Multinomial Regression Approach to Model Outcome Heterogeneity. [PDF]
Am J Epidemiol, 2017 Sun B +2 more
europepmc +4 more sources
Ordered multinomial regression for genetic association analysis of ordinal phenotypes at Biobank scale. [PDF]
Genet Epidemiol, 2020 Logistic regression is the primary analysis tool for binary traits in genome‐wide association studies (GWAS). Multinomial regression extends logistic regression to multiple categories. However, many phenotypes more naturally take ordered, discrete values.
German CA +4 more
europepmc +2 more sources
Role of Biochemical Markers in Invasive Ventilation of Coronavirus Disease 2019 Patients: Multinomial Regression and Survival Analysis. [PDF]
Cureus, 2020 Background and objectives Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the pathogen responsible for the coronavirus disease 2019 (COVID-19) pandemic.
Asghar MS +9 more
europepmc +2 more sources
Multilevel multinomial regression analysis of factors associated with birth weight in sub-Saharan Africa. [PDF]
Sci RepBirth weight significantly determines newborns immediate and future health. Globally, the incidence of both low birth weight (LBW) and macrosomia have increased dramatically including sub-Saharan African (SSA) countries.
Bezie MM, Tesema GA, Seifu BL.
europepmc +2 more sources
Robust and sparse multinomial regression in high dimensions [PDF]
Data Mining and Knowledge Discovery, 2023 A robust and sparse estimator for multinomial regression is proposed for high dimensional data. Robustness of the estimator is achieved by trimming the observations, and sparsity of the estimator is obtained by the elastic net penalty, which is a mixture of $L_1$ and $L_2$ penalties.
Fatma Sevinç Kurnaz, Peter Filzmoser
openaire +6 more sources
Correlated mutations via regularized multinomial regression [PDF]
BMC Bioinformatics, 2011 Background In addition to sequence conservation, protein multiple sequence alignments contain evolutionary signal in the form of correlated variation among amino acid positions.
Sreekumar Janardanan +3 more
doaj +3 more sources
An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. [PDF]
BMC Bioinformatics, 2017 The Human Microbiome has been variously associated with the immune-regulatory mechanisms involved in the prevention or development of many non-infectious human diseases such as autoimmunity, allergy and cancer.
Wadsworth WD +5 more
europepmc +2 more sources
Maximal Uncorrelated Multinomial Logistic Regression [PDF]
IEEE Access, 2019 Multinomial logistic regression (MLR) has been widely used in the field of face recognition, text classification, and so on. However, the standard multinomial logistic regression has not yet stressed the problem of data redundancy.
Dajiang Lei +4 more
doaj +2 more sources
Deep Dirichlet Multinomial Regression [PDF]
Proceedings of the 2018 Conference of the North American Chapter of
the Association for Computational Linguistics: Human Language
Technologies, Volume 1 (Long Papers), 2018 Dirichlet Multinomial Regression (DMR) and other supervised topic models can incorporate arbitrary document-level features to inform topic priors. However, their ability to model corpora are limited by the representation and selection of these features – a choice the topic modeler must make.
Adrian Benton, Mark Dredze
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