Results 91 to 100 of about 5,191,119 (260)

Partial Linear Quantile Regression and Bootstrap Confidence Bands [PDF]

In this paper uniform confidence bands are constructed for nonparametric quantile estimates of regression functions. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf) for residuals ...
Wolfgang Karl Härdle, Ya’acov Ritov, Song Song   +2 more
core  

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Optimal estimators in biadditive models and their families

Frontiers in Applied Mathematics and Statistics
Biadditive regression models are linear models with an additive structure for their covariance matrix. We introduce commutative conditions and derive optimal estimators, namely Best Linear Unbiased Estimators (BLUE) and Best Quadratic Unbiased Estimators
Manuela Oliveira, Eugénio Garção, Armando Alexandre, Joana Paulino, João Mexia   +4 more
doaj   +1 more source

On decompositions of estimators under a general linear model with partial parameter restrictions

Open Mathematics, 2017
A general linear model can be given in certain multiple partitioned forms, and there exist submodels associated with the given full model. In this situation, we can make statistical inferences from the full model and submodels, respectively.
Jiang Bo, Tian Yongge, Zhang Xuan
doaj   +1 more source

Disease Course After Anti‐CD20 Discontinuation in Secondary Progressive Multiple Sclerosis—A Multicenter Long‐Term Longitudinal Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe long‐term outcomes after anti‐CD20 discontinuation in selected patients with secondary progressive multiple sclerosis (SPMS) who remained without subsequent disease‐modifying therapy (DMT). Methods We retrospectively analyzed data from four centers in Austria and Switzerland.
Ferdinand Otto, Dariia Kliushnikova, Richard Friedrich Radlberger, Sinan Yasaroglu, Tobias Moser, Andrea Harrer, Kitty Kratzer, Wolfgang Hitzl, Christiane Gradl, Martin Schmidauer, Patrick Roth, Harald Hegen, Peter Wipfler   +12 more
wiley   +1 more source

(Non) Linear Regression Modeling [PDF]

We will study causal relationships of a known form between random variables. Given a model, we distinguish one or more dependent (endogenous) variables Y = (Y1, . . .
Čížek, Pavel
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Stage‐Dependent β‐Synuclein Links MRI and Cognitive Decline in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Synaptic degeneration drives cognitive decline in Alzheimer's disease (AD), but synaptic biomarkers are scarce. Brain‐enriched β‐synuclein emerged as a synaptic damage marker. We investigated its diagnostic, prognostic, and structural correlates across the AD continuum.
Ulaş Ay, Merve Alaylioglu, Erdi Sahin, Sanem Sultan Yoruk Oner, Gulce Iskan, Gulce Cosku Yilmaz Cakan, Gozde Kizilates‐Evin, Emre Hari, Elif Kurt, Erdinc Dursun, Basar Bilgic, Hasmet Hanagasi, Hakan Gurvit, Tamer Demiralp, Duygu Gezen‐Ak, Bedia Samanci   +15 more
wiley   +1 more source

Predictive Models of Adult Distance Learners' Academic Performance: Comparative Analysis of Two Regression-based Models of Path Analysis [PDF]

, 2011
Using two regression-based models, this study looked into factors that explain academic performance of adult distance learners. The efficiency and applicability of linear regression and logit regression procedures as statistical models for path analysis ...
Quimbo, Maria Ana T.
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“Low‐Positive” MOG‐IgG Cases Among Adults With a First Event Suggestive of Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine the prevalence and clinical characteristics of patients with “low‐positive” (LP) MOG‐IgG (titres 1:160–1:320) among adults with a first demyelinating event (FDE) suggestive of multiple sclerosis (MS). Methods From the Barcelona CIS inception cohort, we included adult patients with serum collected ≤ 6 months from the FDE.
Javier Villacieros‐Álvarez, Carmen Espejo, Georgina Arrambide, Mireia Castillo, Marta Rodriguez, Helena Ariño, Iker Elosua, Carmen Tur, Angela Vidal‐Jordana, Andreu Vilaseca, Joaquín Castilló, Ingrid Galán, Luciana Midaglia, Carlos Nos, Breogan Rodríguez‐Acevedo, Ana Zabalza, Luca Bollo, Agustín Pappolla, René Carvajal, Neus Mongay‐Ochoa, Jordi Rio, Jaume Sastre‐Garriga, Manuel Comabella, Gesualdina Busiello, Sofia Sceppacuercia, Àlex Rovira, Xavier Montalban, Mar Tintoré, Cristina Auger, Álvaro Cobo‐Calvo   +29 more
wiley   +1 more source

Métodos de estimação em regressão linear múltipla: aplicação a dados clínicos Methods of Estimation in Multiple Linear Regression: Application to Clinical Data

Revista Colombiana de Estadística, 2008
Nesse artigo, tem-se o interesse em avaliar diferentes estratégias de estimação de parâmetros para um modelo de regressão linear múltipla. Para a estimação dos parâmetros do modelo foram utilizados dados de um ensaio clínico em que o interesse foi ...
EMÍLIO AUGUSTO COELHO-BARROS, PRISCILA ANGELOTTI SIMÕES, JORGE ALBERTO ACHCAR, EDSON ZANGIACOMI MARTINEZ, ANTÔNIO CARLOS SHIMANO   +4 more
doaj