Results 91 to 100 of about 724,098 (319)

Nonparametric Smoothing Spline Approach in Examining Investor Interest Factors

JTAM (Jurnal Teori dan Aplikasi Matematika)
The nonparametric approach is an appropriate approach for patterns of relationships between predictor variables and response variables that are not or have not been known in form.
Yossy Maynaldi Pratama, Adji Achmad Rinaldo Fernandes, Ni Wayan Surya Wardhani, Rosita Hamdan   +3 more
doaj   +1 more source

Clinical Validation of Plasma p‐217tau in Neurological Diseases

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐217tau is a minimally invasive but specific biomarker for diagnosing Alzheimer's disease (AD). However, its disease specificity remains to be clinically evaluated. We validated the reliability of the p‐217tau biomarker in 12 other neurological diseases.
Takeshi Kawarabayashi, Takumi Nakamura, Ryoma Takahashi, Tetsuya Ueda, Seiji Kinoshita, Chikage Uchida, Takashi Sugawara, Kentaro Hashimoto, Kunihiko Ishizawa, Masakuni Amari, Hiroo Kasahara, Yoshio Ikeda, Masamitsu Takatama, Mikio Shoji   +13 more
wiley   +1 more source

Exploring Patients’ Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial

Arthritis Care &Research, EarlyView.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

Characteristics of balance disorders in patients with white matter hyperintensities

Chinese Journal of Contemporary Neurology and Neurosurgery, 2019
Objective To explore the features of balance disorders in patients with white matter hyperintensity (WMH). Methods The clinical data of 82 patients with WMH from September 2018 to December 2018 were collected. Fazekas scale was used to evaluate the level
Ya⁃qing LI, Li⁃na QIU, Ya⁃jing WANG, Yue ZHANG , Jia⁃ling WU   +4 more
doaj   +1 more source

Adaptive orthogonal series estimation in additive stochastic regression models [PDF]

In this paper, we consider additive stochastic nonparametric regression models. By approximating the nonparametric components by a class of orthogonal series and using a generalized cross-validation criterion, an adaptive and simultaneous estimation ...
Howell Tong, Jiti Gao, Rodney C Wolff
core   +1 more source

Nonparametric Independence Screening in Sparse Ultra-High Dimensional Varying Coefficient Models

, 2013
The varying-coefficient model is an important nonparametric statistical model that allows us to examine how the effects of covariates vary with exposure variables. When the number of covariates is big, the issue of variable selection arrives.
Dai, Wei, Fan, Jianqing, Ma, Yunbei
core   +1 more source

Clinical Outcomes of Patients Within the Rheumatoid Arthritis Care Pathway Cohort at a Tertiary Care Integrated Delivery Network: A Comparison to Usual Care

Arthritis Care &Research, EarlyView.
Objective We aimed to compare clinical outcomes between patients in the Allegheny Health Network rheumatoid arthritis (RA) care pathway and patients receiving usual care. Methods The care pathway initiative implements guideline‐based best practice alongside multidisciplinary team‐based care.
Tarun Sharma, Tyson S. Barrett, Teigan Dwyer, Nancy Campbell, Jessica Heintzinger, Ellen Kraemer, Adam Dore, Susan Manzi   +7 more
wiley   +1 more source

Improving Bayesian Mixture Models for Multiple Imputation of Missing Data Using Focused Clustering

Revstat Statistical Journal, 2018
We present a joint modeling approach for multiple imputation of missing continuous and categorical variables using Bayesian mixture models. The approach extends the idea of focused clustering, in which one separates variables into two sets before ...
Jerome P. Reiter
doaj   +1 more source

Nonparametric ridge estimation

, 2014
We study the problem of estimating the ridges of a density function. Ridge estimation is an extension of mode finding and is useful for understanding the structure of a density. It can also be used to find hidden structure in point cloud data.
Genovese, Christopher R., Perone-Pacifico, Marco, Verdinelli, Isabella, Wasserman, Larry   +3 more
core   +1 more source

Nonparametric Statistical Methods

, 2010
Nonparametric methods are appropriate when certain assumptions about distributions that common parametric methods make are questionable. In this entry, we review nonparametric statistical tests based on exact or simulated sampling distributions. We also discuss methods for nonparametric data exploration and nonparametric regression and we explain ...
Sijtsma, K., Emons, W.H.M.
openaire   +3 more sources