Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky +8 more
wiley +1 more source
Parameter estimation of powered-lift STOL aircraft characteristics including turbulence and ground effects [PDF]
The estimation of longitudinal aerodynamic coefficients from data recorded during flight tests of a powered-lift STOL aircraft is considered. First, a comparison is made between the coefficient values determined by the regression and quasilinearization ...
Wingrove, R. C.
core +1 more source
Nonparametric Conditional Inference for Regression Coefficients with Application to Configural Polysampling [PDF]
, 2007 We consider inference procedures, conditional on an observed ancillary statistic, for regression coefficients under a linear regression setup where the unknown error distribution is specified nonparametrically.
Ho, Yvonne, Lee, Stephen
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The Gold Coast criteria permit diagnosis of amyotrophic lateral sclerosis (ALS) even without upper motor neuron (UMN) signs. However, whether ALS patients with UMN signs (ALSwUMN) and those without (ALSwoUMN) share similar characteristics and prognoses remains unclear.
Hee‐Jae Jung +7 more
wiley +1 more source
Varying Index Coefficient Model for Tail Index Regression
MathematicsInvestigating the causes of extreme events is crucial across various fields. However, existing asymptotic theoretical models often lack flexibility and fail to capture the complex dependency structures inherent in extreme events.
Hongyu An, Boping Tian
doaj +1 more source
The Entrepreneurship Readiness of Student XII Grade Department of Audio Video SMK Piri 1 Yogyakarta School Year 2011/2012 Reviewed by Knowledge Entrepreneurship, Family Support, Soft Skills and Learning Achievment. [PDF]
, 2012 This research aims to determine:1) the influence of knowledge entrepreneurship to the readiness entrepreneurship. 2) the influence of family support to the readiness entrepreneurship 3) The infulence soft skill to the readiness entrepreneurship 4) the ...
Suhaeri, Suhaeri
core
Patterns of Postictal Abnormalities in Relation to Status Epilepticus in Adults
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Abnormalities on peri‐ictal diffusion‐weighted magnetic resonance imaging (DWI‐PMAs) are well‐established for patients with status epilepticus (SE), but knowledge on patterns of DWI‐PMAs and their prognostic impact is sparse. Methods This systematic review and individual participant data meta‐analysis included observational studies ...
Andrea Enerstad Bolle +11 more
wiley +1 more source
Error analysis for lq $l^{q}$-coefficient regularized moving least-square regression
Journal of Inequalities and Applications, 2018 We consider the moving least-square (MLS) method by the coefficient-based regression framework with lq $l^{q}$-regularizer (1≤q≤2) $(1\leq q\leq2)$ and the sample dependent hypothesis spaces.
Qin Guo, Peixin Ye
doaj +1 more source
Coefficient-based regularized distribution regression
Journal of Approximation TheoryIn this paper, we consider the coefficient-based regularized distribution regression which aims to regress from probability measures to real-valued responses over a reproducing kernel Hilbert space (RKHS), where the regularization is put on the coefficients and kernels are assumed to be indefinite.
Mao, Yuan, Shi, Lei, Guo, Zheng-Chu
openaire +2 more sources
Bayesian functional linear regression with sparse step functions
, 2016 The functional linear regression model is a common tool to determine the relationship between a scalar outcome and a functional predictor seen as a function of time. This paper focuses on the Bayesian estimation of the support of the coefficient function.
Abraham, Christophe +3 more
core +1 more source