Results 81 to 90 of about 12,415,159 (263)

Clustering the Brain With “CluB”: A New Toolbox for Quantitative Meta-Analysis of Neuroimaging Data

Frontiers in Neuroscience, 2019
In this paper we describe and validate a new coordinate-based method for meta-analysis of neuroimaging data based on an optimized hierarchical clustering algorithm: CluB (Clustering the Brain).
Manuela Berlingeri, Manuela Berlingeri, Manuela Berlingeri, Francantonio Devoto, Francantonio Devoto, Francesca Gasparini, Francesca Gasparini, Aurora Saibene, Silvia E. Corchs, Silvia E. Corchs, Lucia Clemente, Laura Danelli, Marcello Gallucci, Riccardo Borgoni, Nunzio Alberto Borghese, Eraldo Paulesu, Eraldo Paulesu, Eraldo Paulesu   +17 more
doaj   +1 more source

Improving Parametric Mortgage Prepayment Models with Non-parametric Kernel Regression [PDF]

Developing a good prepayment model is a central task in the valuation of mortgages and mortgage-backed securities but conventional parametric models often have bad out-of-sample predictive ability.
Michael Marschoun, Michael LaCour-Little, Clark L. Maxam   +2 more
core  

Extracellular vesicle lipidomics liquid biopsy reveals systemic and tumor microenvironment metabolic reprogramming in ovarian cancer

Molecular Oncology, EarlyView.
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani, Dominic Guanzon, Andrew Lai, Katherin Scholz‐Romero, Sarah Reed, Edita Ritmejeryte, Rohan Lourie, Naven Chetty, Kaltin Ferguson, Carlos Salomon   +9 more
wiley   +1 more source

A Semi-parametric Regression Model with Errors in Variables

, 2003
In this paper, we consider a partial linear regression model with measurement errors in possibly all the variables. We use a method of moments and deconvolution to construct a new class of parametric estimators together with a non-parametric kernel ...
Zhu, L, Lixing Zhu, Cui, H
core   +1 more source

Order Statistics Properties of the Two Parameter Lomax Distribution [PDF]

, 2015
In this paper we study the distribution of order statistics of the two parametric Lomax distribution. We consider the single and product moment of order statistics from Lomax distribution.  Also, we establish some recurrence relation for single moments ...
Dar, Javid Gani, Al-Hossain, Abdullah
core   +1 more source

Replication Data for: (Non-)Parametric Recoverability of Preferences and Choice Prediction

, 2021
Zrill, L. (2024). “(Non-)Parametric Recoverability of Preferences and Choice Prediction.” Review of Economics and Statistics, 106:1, 217 ...
Zrill, Lanny
core   +1 more source

Predictive and prognostic biomarkers of Bacillus Calmette‐Guérin therapy failure in bladder cancer patients: A systematic review

Molecular Oncology, EarlyView.
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira, Ana Teixeira‐Marques, Rui Freitas, João A Carvalho, Sara Monteiro‐Reis, Giorgio I. Russo, Rui Henrique, Carmen Jerónimo   +7 more
wiley   +1 more source

اختبار الفرضيات باستخدام الإحصاء اللابارامترى Non Parametric Statistics وباستخدام برنامج SPSS. [PDF]

مجلة تربويات الرياضيات, 2016
محمد ربيع حسنى إسماعيل
doaj   +1 more source

Non-parametric production analysis under alternative price conditions. [PDF]

The literature on non-parametric production analysis has formulated tests for profit maximizing behavior that do not require a parametric specification of technology.
Kuosmanen, T, Cherchye, Laurens, Post, T
core  

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source