Results 251 to 260 of about 6,102,677 (302)

FOXC1: A Key Transcription Factor of VSMC‐Derived Foam Cell Formation in Atherosclerotic Plaque Instability

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT The instability of atherosclerotic plaques, particularly intraplaque hemorrhage (IPH), drives life‐threatening cardiovascular events, a process in which vascular smooth muscle cell (VSMC)‐derived foam cells play a significant role. We aim to identify key biomarkers associated with VSMC‐derived foam cells and IPH by analyzing data from human ...
Ling‐Lin Qian, Xue‐Ling Li, Li‐Hong Wang, Wei Yang, Yu Jiang   +4 more
wiley   +1 more source

Weighted likelihood negative binomial regression

, 2013
Amiguet, Michael, Marazzi, Alfio, Yohai, Victor   +2 more
openaire   +1 more source

Effects of NDURE on Timely Adjuvant Radiotherapy in HNSCC: Subgroup Analysis of an RCT

The Laryngoscope, EarlyView.
In this subgroup analysis of a randomized clinical trial of 145 patients with locally advanced head and neck squamous cell carcinoma, the enhanced navigation‐based intervention NDURE improved initiation of timely postoperative radiation therapy (PORT) relative to usual care across nearly all demographic and clinical subgroups, including patients with ...
Jonathan M. Hughes, Emily Kistner‐Griffin, Reid DeMass, Bhisham S. Chera, Katherine R. Sterba, Elizabeth G. Hill, Jessica McCay, Jason G. Newman, W. Greer Albergotti, Alex E. Kejner, Judith M. Skoner, Jennifer L. Harper, John Kaczmar, Byung Joo Lee, Savannah A. Zimmerman, Graham W. Warren, Anthony J. Alberg, Elizabeth A. Calhoun, Brian Nussenbaum, Chanita Hughes‐Halbert, Evan M. Graboyes   +20 more
wiley   +1 more source

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On ridge estimators for the negative binomial regression model

Economic Modelling, 2012
The negative binomial (NB) regression model is very popular in applied research when analyzing count data. The commonly used maximum likelihood (ML) estimator is very sensitive to highly intercorrelated explanatory variables. Therefore, a NB ridge regression estimator (NBRR) is proposed as a robust option of estimating the parameters of the NB model in
Kristofer Månsson
exaly   +2 more sources

Hurdle Negative Binomial Regression Model

ICSA - International Conference on Statistics and Analytics 2019, 2021
Poisson regression is a common regression model used for count data with equidispersion. However, in real data application, overdispersion often encountered, suggesting the seek for alternative model to the Poisson regression. In overdispersion data due to excess zeros and additional overdispersion in positive values, one of alternative model that can ...
Ayu Andika, Sarini Abdullah, Siti Nurrohmah   +2 more
openaire   +1 more source

Negative binomial regression

2007
This second edition of Hilbe's Negative Binomial Regression is a substantial enhancement to the popular first edition. The only text devoted entirely to the negative binomial model and its many variations, nearly every model discussed in the literature is addressed. The theoretical and distributional background of each model is discussed, together with
openaire   +2 more sources

A Jackknifed estimators for the negative binomial regression model

Communications in Statistics - Simulation and Computation, 2017
AbstractShrinkage estimator is a commonly applied solution to the general problem caused by multicollinearity. Recently, the ridge regression (RR) estimators for estimating the ridge parameter k in the negative binomial (NB) regression have been proposed. The Jackknifed estimators are obtained to remedy the multicollinearity and reduce the bias.
Semra Türkan, Gamze Özel
openaire   +2 more sources

Geographically Weighted Negative Binomial Regression—incorporating overdispersion

Statistics and Computing, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alan Ricardo da Silva, Thais Carvalho Valadares Rodrigues   +1 more
openaire   +2 more sources

Semiparametric Negative Binomial Regression Models

Communications in Statistics - Simulation and Computation, 2010
Negative-binomial (NB) regression models have been widely used for analysis of count data displaying substantial overdispersion (extra-Poisson variation). However, no formal lack-of-fit tests for a postulated parametric model for a covariate effect have been proposed. Therefore, a flexible parametric procedure is used to model the covariate effect as a
openaire   +2 more sources