Results 21 to 30 of about 3,006,601 (299)
Fisher’s significance test: A gentle introduction
GMS Medizinische Informatik, Biometrie und Epidemiologie, 2020 The p-value is often misunderstood and, for example, misinterpreted as a probability for the correctness of the null hypothesis. The aim of this article is to first explain the definition of the p-value.
Stang, Andreas, Kowall, Bernd
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Biomédica: revista del Instituto Nacional de Salud, 2011 Introducción. Los nódulos tiroideos son la condición endocrina más frecuente para los cirujanos. El principio de la evaluación de un nódulo tiroideo es determinar si éste corresponde a un carcinoma.
Edgar Alfonso +2 more
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Development and Validation of a Clinically Actionable Prediction Model for Postoperative Pulmonary Complications in Cardiac Surgery: A Focus on Modifiable Risk Factors [PDF]
Annals of Rehabilitation MedicineObjective To develop and validate a clinically actionable prediction model for postoperative pulmonary complications (PPCs) in cardiac surgery patients, focusing on modifiable preoperative risk factors amenable to targeted optimization.
Ruoxi Li +8 more
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Statistical DRAM modeling [PDF]
Proceedings of the International Symposium on Memory Systems, 2019 Cycle-accurate DRAM models are prevalent in today's computer architecture simulations. However, cycle-accurate models by design are time consuming and not scalable. In this paper, we present a statistical approach of DRAM latency modeling. Unlike previous works, our approach converts DRAM latency modeling into a classification problem and employ ...
Shang Li 0001, Bruce L. Jacob
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Statistical indices from bifactor models
Interacciones, 2017 Many instruments are created with the primary purpose of scaling individuals on a single trait. However psychological traits are often complex and contain domain specific manifestations.
Sergio Alexis Dominguez-Lara +1 more
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Statistical models for language representation
Ontare, 2015 ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper discuses several models for the computational representation of language. First, some n-gram models that are based on Markov models are introduced.
Rubén Dorado
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Deep statistical solvers - Trained models
, 2020 Contains a set of 9 trained models of Deep statistical solvers There are 3 models for the linear systems experiment, 3 models for the AC power flow 14 nodes and 3 models for the AC power flow 118 ...
Statistical Solvers
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Measurement error and statistical disclosure control [PDF]
, 2010 Statistical agencies release microdata to researchers after applying statistical disclosure control (SDC) methods. Noise addition is a perturbative SDC method which is carried out by adding independent random noise to a continuous variable or by ...
Shlomo, Natalie, Natalie Shlomo
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Statistical models of fracture [PDF]
Advances in Physics, 2006 Disorder and long-range interactions are two of the key components that make material failure an interesting playfield for the application of statistical mechanics. The cornerstone in this respect has been lattice models of the fracture in which a network of elastic beams, bonds or electrical fuses with random failure thresholds are subject to an ...
Alava MJ, Nukalaz PKVV, Zapperi S
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On direct sequential analysis of heart rate variability signals [PDF]
Archive of Oncology, 2005 Heart rate variability analysis represents one of the most promising and the most commonly used quantitative measures of the cardiovascular autonomic regulatory system.
Bajić Dragana +2 more
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