Results 71 to 80 of about 1,109,885 (298)

On the estimation of normal copula discrete regression models using the continuous extension and simulated likelihood [PDF]

, 2013
The continuous extension of a discrete random variable is amongst the computational methods used for estimation of multivariate normal copula-based models with discrete margins.
Aristidis K. Nikoloulopoulos, Ashford, Bhat, Cameron, De Backer, Demidenko, Denuit, Frank, Genz, Genz, Genz, Hausman, Heinen, Heinen, Joe, Joe, Joe, Johnson, Kiefer, Lawless, Liang, Madsen, Madsen, Meester, Molenberghs, Muthén, Nash, Nikoloulopoulos, Nikoloulopoulos, Nikoloulopoulos, Ochi, Sabo, Schervish, Song, Song, Song, Žežula   +36 more
core   +2 more sources

Fibrinogen Changes Before and After Intravenous Thrombolysis as Predictors of Cerebral Injury and Clinical Outcomes in Acute Ischemic Stroke: A Multicenter Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma fibrinogen is essential in thrombosis and fibrinolysis, yet its dynamic changes pre‐ and post‐intravenous thrombolysis (IVT) for predicting brain injury severity and prognosis in acute ischemic stroke (AIS) patients remain unclear.
Wenhai Zhai, Yang Qu, Reziya Abuduxukuer, Kejia Zhang, Peng Zhang, Xin Tang, Huaimei Zhang, Lijuan Wang, Lichong Yang, Shuangxu Tan, Zhimei Yuan, Ce Han, Lili He, Yuping Zheng, Fenglan Zhao, Lijie Guo, Ligang Jiang, Jinfeng Li, Yongfei Jiang, Xuexia Zou, Dan Xu, Han Xu, Xiaojia Wang, Yingbin Qi, Xuefeng Hu, Yu Zhang, Zhen‐Ni Guo, Hang Jin, on behalf of the Biomarkers of Brain Injury Investigator Study Group   +28 more
wiley   +1 more source

Practical Issues in the Analysis of Univariate GARCH Models [PDF]

This paper gives a tour through the empirical analysis of univariate GARCH models for financial time series with stops along the way to discuss various practical issues associated with model specification, estimation, diagnostic evaluation and ...
Eric Zivot
core  

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Analysis of risk factors for adverse outcomes in 320 patients with oral and maxillofacial space infection

Kouqiang hemian waike zazhi
[Objective:] To investigate the possible risk factors leading to adverse outcomes in patients with oral and maxillofacial space infection (OMSI) and to provide references for clinical prevention and treatment. [Methods:] The clinical data of 320 patients
ZHANG Guorun, CHEN Jufeng, YANG Xiaoying, XIAN Dan, LI Jiapeng, LI Jin   +5 more
doaj   +1 more source

An Empirical Analysis of Equity Default Swaps (I): Univariate Insights [PDF]

The aim of this paper is to describe a new methodology to assess the risk of any Equity Default Swap (EDS). We show that as credit ratings can measure counter-party risk, it is technically possible to provide a quantitatively derived “through the cycle ...
Arnaud_de_Servigny, Norbert_Jobst
core  

Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz, Carl D. Langefeld, Mary E. Comeau, Miranda C. Marion, Tyler P. Behymer, Lee A. Gilkerson, Padmini Sekar, Weihong Yuan, Vivek Khandwala, Brady J. Williamson, Thomas Maloney, Achala Vagal, Pierce Boyne, Kari Dunning, Matthew L. Flaherty, Steven J. Kittner, Prachi Mehndiratta, Gunjan Y. Parikh, Michael L. James, David Roh, Fernando D. Testai, Farhaan S. Vahidy, James Thornton, Ranjit Bagga, Daniel Woo, Stacie L. Demel   +25 more
wiley   +1 more source

Estimation of the basic reproductive number and mean serial interval of a novel pathogen in a small, well-observed discrete population [PDF]

, 2016
BACKGROUND:Accurately assessing the transmissibility and serial interval of a novel human pathogen is public health priority so that the timing and required strength of interventions may be determined.
Riley, S, Wu, KM
core   +2 more sources

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies

BioData Mining, 2019
Background The principal line of investigation in Genome Wide Association Studies (GWAS) is the identification of main effects, that is individual Single Nucleotide Polymorphisms (SNPs) which are associated with the trait of interest, independent of ...
Elisabetta Manduchi, Patryk R. Orzechowski, Marylyn D. Ritchie, Jason H. Moore   +3 more
doaj   +1 more source