Results 61 to 70 of about 423,513 (317)

A specification test for nonlinear nonstationary models [PDF]

, 2012
We provide a limit theory for a general class of kernel smoothed U-statistics that may be used for specification testing in time series regression with nonstationary data.
Phillips, Peter C. B., Wang, Qiying
core   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher, Charles B. Malpas, Stuart J. McDonald, William T. O’Brien, Craig Despott, Kelly L. Bertram, Matthew P. Pase, Lukas Frontzkowski, Meng Law, Terence J. O’Brien, Lucy Vivash   +10 more
wiley   +1 more source

Examining the relationship between CDAI and frailty and its manifestation in Parkinson’s disease: a cross-sectional study

Frontiers in Nutrition
BackgroundHigher intake of antioxidants is associated with reduced risk of various chronic diseases. However, the relationship between composite dietary antioxidants and frailty has not been characterized, especially in neurodegenerative conditions like ...
Zhaohao Zeng, Zhaohao Zeng, Wen Jin, Wen Jin, Wen Jin, Kunyu Huang, Lijiao Xiong, Lijiao Xiong, Yu Luo, Yu Luo, Guoyang Li, Guoyang Li, Wenli Zhang, Wenli Zhang, Guo Hong, Guo Hong, Fengju Mao, Fengju Mao, Kaifen Xiong, Kaifen Xiong, Xiaoguang Luo, Xiaoguang Luo   +21 more
doaj   +1 more source

Detection of nonlinearity, discontinuity and interactions in generalized regression models

Statistical Modelling
In generalized regression models, the effect of continuous covariates is commonly assumed to be linear. This assumption, however, may be too restrictive in applications and may lead to biased effect estimates and decreased predictive ability. While a multitude of alternatives for the flexible modelling of continuous covariates have been proposed ...
Spuck, Nikolai, Schmid, Matthias, Berger, Moritz   +2 more
openaire   +2 more sources

Global and Regional Temporal Changes in Cross‐Country Inequalities of Site‐Specific Osteoarthritis Burden, 1990 to 2021

Arthritis Care &Research, EarlyView.
Objective This study examined the global and regional temporal changes in cross‐country inequalities of site‐specific osteoarthritis (OA) burden from 1990 to 2021. Methods Age‐standardized years lived with disability rates (ASYRs) for site‐specific OA across 204 countries and territories were obtained from the Global Burden of Diseases, Injuries, and ...
Haowei Chen, Lei Si, David J. Hunter, Lei Zhang, Zhe‐Sheng Chen, Xiaomeng Wang, Vicky Duong, Zhounan Zhou, Peihua Cao, Han Cen, Su'an Tang, Tianyu Chen, Houjun Xue, Zhaohua Zhu, Changhai Ding   +14 more
wiley   +1 more source

Temporal Trends in and Associations With Nonsteroidal Anti‐inflammatory Drug Prescription in Adult and Pediatric Patients With Inflammatory Bowel Disease

Arthritis Care &Research, EarlyView.
Objective Recent inflammatory bowel disease (IBD) treatment guidelines have recommended against nonsteroidal anti‐inflammatory drug (NSAID) use despite prevalent musculoskeletal symptoms and opioid overuse in this population. Given the discordance between changing national guidelines and potential clinical utility, we sought to assess national temporal
Adam S. Mayer, Rui Xiao, Andrew Grossman, Meenakshi Bewtra, Michael D. George, Pamela F. Weiss   +5 more
wiley   +1 more source

Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression

IEEE Access, 2018
Projection regression is an important tool for process soft sensing in order to eliminate redundant information and obtain proper data features. As most industrial process is intrinsically nonlinear and process variables are collected in random noise environment, it is significant to adopt probabilistic nonlinear latent variable model to carry out ...
Xiaofeng Yuan, Zhiwen Chen, Yalin Wang
openaire   +2 more sources

On one algorithm of generating nonlinear regression models and its computer realization

E3S Web of Conferences, 2023
The tasks of statistical processing of experimental data arise in different areas of human activity. In this regard, the development of algorithms and corresponding computer programs that allow such processing and satisfy certain conditions is an important task.
openaire   +2 more sources

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug

Arthritis Care &Research, EarlyView.
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie, Timothy Beukelman, Nicholas P. McCormick, Jeffrey R. Curtis   +3 more
wiley   +1 more source

Estimation of nonlinear models with Berkson measurement errors

, 2005
This paper is concerned with general nonlinear regression models where the predictor variables are subject to Berkson-type measurement errors. The measurement errors are assumed to have a general parametric distribution, which is not necessarily normal ...
Wang, Liqun
core   +1 more source