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Institution

Maastricht University

EducationMaastricht, Limburg, Netherlands
About: Maastricht University is a education organization based out in Maastricht, Limburg, Netherlands. It is known for research contribution in the topics: Population & Health care. The organization has 19263 authors who have published 53291 publications receiving 2266866 citations. The organization is also known as: Universiteit Maastricht & UM.


Papers
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01 Jan 2009
TL;DR: The results of the experiments reveal that nonlinear techniques perform well on selected artificial tasks, but that this strong performance does not necessarily extend to real-world tasks.
Abstract: In recent years, a variety of nonlinear dimensionality reduction techniques have been proposed that aim to address the limitations of traditional techniques such as PCA and classical scaling. The paper presents a review and systematic comparison of these techniques. The performances of the nonlinear techniques are investigated on artificial and natural tasks. The results of the experiments reveal that nonlinear techniques perform well on selected artificial tasks, but that this strong performance does not necessarily extend to real-world tasks. The paper explains these results by identifying weaknesses of current nonlinear techniques, and suggests how the performance of nonlinear dimensionality reduction techniques may be improved.

2,141 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate retailer-consumer relationships, and show that different relationship marketing tactics have a differential impact on consumer perceptions of a retailer's relationship investment, and demonstrate that perceived relationship investment affects relationship quality.
Abstract: This research, investigating retailer-consumer relationships, has three distinct intended contributions: (1) It shows that different relationship marketing tactics have a differential impact on consumer perceptions of a retailer’s relationship investment; (2) it demonstrates that perceived relationship investment affects relationship quality, ultimately leading to behavioral loyalty; and (3) it reveals that the effect of perceived relationship investment on relationship quality is contingent on a consumer’s product category involvement and proneness to engage in retail relationships. The authors empirically cross-validate the underlying conceptual model by studying six consumer samples in a three-country, transatlantic, comparative survey that investigates two industries.

2,113 citations

Journal ArticleDOI
TL;DR: Guidelines summarize and evaluate available evidence with the aim of assisting health professionals in proposing the best management strategies for an individual patient with a given condition.
Abstract: Guidelines summarize and evaluate available evidence with the aim of assisting health professionals in proposing the best management strategies for an individual patient with a given condition. Guidelines and their recommendations should facilitate decision making of health professionals in their daily practice. However, the final decisions concerning an individual patient must be made by the responsible health professional(s) in consultation with the patient and caregiver as appropriate.

2,079 citations

Journal ArticleDOI
S. Hong Lee1, Stephan Ripke2, Stephan Ripke3, Benjamin M. Neale2  +402 moreInstitutions (124)
TL;DR: Empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
Abstract: Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.

2,058 citations


Authors

Showing all 19492 results

NameH-indexPapersCitations
Edward Giovannucci2061671179875
Julie E. Buring186950132967
Aaron R. Folsom1811118134044
John J.V. McMurray1781389184502
Alvaro Pascual-Leone16596998251
Lex M. Bouter158767103034
David T. Felson153861133514
Walter Paulus14980986252
Michael Conlon O'Donovan142736118857
Randy L. Buckner141346110354
Philip Scheltens1401175107312
Anne Tjønneland139134591556
Ewout W. Steyerberg139122684896
James G. Herman138410120628
Andrew Steptoe137100373431
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023107
2022344
20214,523
20203,881
20193,367
20183,019