Results 71 to 80 of about 594,285 (313)

Consistency of $\ell _{1}$ Penalized Negative Binomial Regressions

, 2020
We prove the consistency of the $\ell_1$ penalized negative binomial regression (NBR). A real data application about German health care demand shows that the $\ell_1$ penalized NBR produces a more concise but more accurate model, comparing to the classical NBR.
Xie, Fang, Xiao, Zhijie
openaire   +3 more sources

Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone, Freddy Chafota, Miguel E. Rentería, Randi J. Hagerman, Ellery Santos, Anna Atkinson, Nicholas G. Martin, Elsdon Storey, Danuta Z. Loesch   +8 more
wiley   +1 more source

Exploring the significance of domestic investment for foreign direct investment in China: a city-network approach [PDF]

, 2019
This paper uses a network approach and a negative binomial regression model (NBRM) to shed light on the association between Domestic Investment (DI) and Foreign Direct Investment (FDI) in interlinking Chinese cities in a space of flows.
Pain, Kathy, Shia, Shuai, Wall, Ronald
core   +2 more sources

Spatial modeling of confirmed COVID-19 pandemic in East Java province by geographically weighted negative binomial regression

, 2020
In East Java, 11,910 confirmed incidences for COVID-19 were registered as of 30 June 2020. We propose a Geographically Weighted Negative Binomial Regression (GWNBR) model to evaluate the effect of population density and daily average temperature on COVID-
Rinda Fitriani, I. Jaya
semanticscholar   +1 more source

RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu, Xin Duan, Fatemeh Peymani, Jia Wang, Chengjia Bao, Chaolong Xu, Ying Zou, Zixuan Zhang, Yunxi Zhang, Tongyue Li, Martin Pavlov, Junling Wang, Minhan Song, Tianyu Song, Xiaodi Han, Mingxi Sun, Danmin Shen, Ruoyu Duan, Huafang Jiang, Manting Xu, Holger Prokisch, Fang Fang   +21 more
wiley   +1 more source

Associated factor of mortality rate amongst patients with AIDS and HIV-TB co-infections using zero inflated negative binomial method [PDF]

, 2014
Many data sets are characterized as count data with a preponderance of zeros. Data in the form of counts and proportions arise in many fields such as studies in medicine, public health, toxicology, epidemiology, sociology, psychology, engineering ...
Abdullah, Mohd Asrul Affendi
core  

Emergence of Independent Candidates:A Negative Binomial Regression Model of anIndian Parliamentary Election [PDF]

, 2010
The paper specifies a model of the first-past-the-post (FPTP) electoral system in which political parties themselves float independent candidates to gain electoral advantage, leading to a Prisoners’ Dilemma type game where each party tries to out ...
Bhattacharya, Kaushik
core   +1 more source

Accurate inference in negative binomial regression

, 2020
Negative binomial regression is commonly employed to analyze overdispersed count data. With small to moderate sample sizes, the maximum likelihood estimator of the dispersion parameter may be subject to a significant bias, that in turn affects inference on mean parameters.
Pagui, Euloge Clovis Kenne, Salvan, Alessandra, Sartori, Nicola   +2 more
openaire   +2 more sources

Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin, Binbin Xue, Dewei Xie, Jia Li, Juyuan Pan, Lanbing Zhu, Qiaowen Tong, Jing Lin, Ruofan Zhu, Xu Zhang, Junhui Xia, Xiang Li   +11 more
wiley   +1 more source

Linear mean-variance negative binomial models for analysis of orange tissue-culture data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2004
Negative binomial maximum likelihood regression models are commonly used to analyze overdispersed Poisson data. There are various forms of the negative binomial model with different mean-variance relationships, however, the most generally used are those ...
Naratip Jansakul, John P. Hinde
doaj