Results 141 to 150 of about 343,541 (352)

A note on outlier-prone and outlier-resistant distributions

Journal of the Japan Statistical Society, Japanese Issue, 1987
\textit{J. Neyman} and \textit{E. L. Scott} [Optimizing Meth. Stat., Proc. Symp. Ohio State Univ., 413-430 (1971; Zbl 0259.62044)] have considered the ideas of outlier-proneness and outlier-resistance of families of distributions; on the other hand \textit{R. F. Green} [J. Am. Stat. Assoc. 71, 502-505 (1976; Zbl 0344.62016)] has considered the ideas of
openaire   +2 more sources

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Resistant outlier rules and the non-Gaussian case [PDF]

The techniques of exploratory data analysis include a resistant rule, based on a linear combination of quartiles, for identification of outliers. This paper shows that the substitution of the quartiles with the median leads to a better performance in the
Carling, Kenneth
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A framework for exploration and cleaning of environmental data : Tehran air quality data experience [PDF]

, 2014
Management and cleaning of large environmental monitored data sets is a specific challenge. In this article, the authors present a novel framework for exploring and cleaning large datasets.
Navidi, Iman, Shamsipour, Mansour, Mesdaghinia, Alireza, Naddafi, Kazem, Amini, Hassan, Rabiei, Katayoun, Fotouhi, Akbar, Farzadfar, Farshad, Sarrafzadegan, Nizal, Yunesian, Masud, Gohari, Kimiya, Parsaeian, Mahboubeh, Larijani, Bagher, Mansouri, Anita, Hassanvand, Mohammad Sadegh   +14 more
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Peripheral Neutrophil Activation and Extracellular Trap Formation in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
Markers of neutrophil activation are increased in plasma during ALS, and markers of NET formation associate with ALS survival. ABSTRACT Objectives Peripheral neutrophil levels in amyotrophic lateral sclerosis (ALS) inversely correlate with survival, suggesting a role for neutrophils in disease progression.
Lillia A. Baird, Haley McQuown, Jihyun Park, Samuel J. Teener, Ian F. Webber‐Davis, Andrew D. Carter, Dae‐Gyu Jang, Eva L. Feldman, Stephen A. Goutman, Benjamin J. Murdock   +9 more
wiley   +1 more source

A variance shilf model for outlier detection and estimation in linear and linear mixed models

, 2008
Includes abstract.Includes bibliographical references.Outliers are data observations that fall outside the usual conditional ranges of the response data.They are common in experimental research data, for example, due to transcription errors or faulty ...
Gumedze, Freedom Nkhululeko
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Prominent Movement Disorders in RNU2‐2‐Related Spliceosomopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Pediatric movement disorders often overlap with neurodevelopmental diseases, suggesting shared molecular mechanisms. Variants in small nuclear RNA (snRNA) genes encoding spliceosome components have recently been associated with neurodevelopmental disorders, termed “RNUopathies.” We analyzed genome sequencing data from 14 patients with ...
Magdalena Krygier, Ugo Sorrentino, Matias Wagner, Marta Zawadzka, Anna Lemska, Maria Mazurkiewicz‐Bełdzińska, Michael Zech   +6 more
wiley   +1 more source

Investigating Data Consistency in the ASHRAE Dataset Using Clustering and Label Matching

IEEE Access
Data is a critical component in various fields, enabling researchers to perform analyses, improve decision-making, optimization, and scientific research. However, poor data quality can lead to flawed decisions and inefficiencies.
Hui-Hui Tan, Yi-Fei Tan, Wooi-Haw Tan, Chee-Pun Ooi   +3 more
doaj   +1 more source

Minimal Important Change and Minimal Clinically Important Difference in Pain and Function With Exercise in Hip Osteoarthritis

Arthritis Care &Research, EarlyView.
Objective The objective of this study was to estimate the minimal important change (MIC) and minimal clinically important difference (MCID) for pain and physical function in individuals with hip osteoarthritis (OA) following a physiotherapist‐guided exercise intervention.
Yareni Guerrero, Fiona Dobson, Venkatesha Venkatesha, Kim Allison, Gabrielle Knox, Libby Spiers, Travis Haber, David J Hunter, Michelle Hall   +8 more
wiley   +1 more source

A multivariate adaptive trimmed likelihood algorithm

, 2005
The research reported in this thesis describes a new algorithm which can be used to robustify statistical estimates adaptively. The algorithm does not require any pre-specified cut-off value between inlying and outlying regions and there is no ...
Schubert, Daniel
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