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Institution

Louisiana State University

EducationBaton Rouge, Louisiana, United States
About: Louisiana State University is a education organization based out in Baton Rouge, Louisiana, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 40206 authors who have published 76587 publications receiving 2566076 citations. The organization is also known as: LSU & Louisiana State University and Agricultural and Mechanical College.


Papers
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Journal ArticleDOI
TL;DR: Three post hoc strategies and the strategy of doing nothing within three sets of assumptions about CMV are evaluated, finding potential benefits and likely risks of using the different techniques.
Abstract: Many researchers who use same-source data face concerns about common method variance (CMV). Although post hoc statistical detection and correction techniques for CMV have been proposed, there is a lack of empirical evidence regarding their efficacy. Because of disagreement among scholars regarding the likelihood and nature of CMV in self-report data, the current study evaluates three post hoc strategies and the strategy of doing nothing within three sets of assumptions about CMV: that CMV does not exist, that CMV exists and has equal effects across constructs, and that CMV exists and has unequal effects across constructs. The implications of using each strategy within each of the three assumptions are examined empirically using 691,200 simulated data sets varying factors such as the amount of true variance and the amount and nature of CMV modeled. Based on analyses of these data, potential benefits and likely risks of using the different techniques are detailed.

1,197 citations

Journal ArticleDOI
B. P. Abbott1, R. Abbott1, T. D. Abbott2, Sheelu Abraham3  +1271 moreInstitutions (145)
TL;DR: In 2019, the LIGO Livingston detector observed a compact binary coalescence with signal-to-noise ratio 12.9 and the Virgo detector was also taking data that did not contribute to detection due to a low SINR but were used for subsequent parameter estimation as discussed by the authors.
Abstract: On 2019 April 25, the LIGO Livingston detector observed a compact binary coalescence with signal-to-noise ratio 12.9. The Virgo detector was also taking data that did not contribute to detection due to a low signal-to-noise ratio, but were used for subsequent parameter estimation. The 90% credible intervals for the component masses range from to if we restrict the dimensionless component spin magnitudes to be smaller than 0.05). These mass parameters are consistent with the individual binary components being neutron stars. However, both the source-frame chirp mass and the total mass of this system are significantly larger than those of any other known binary neutron star (BNS) system. The possibility that one or both binary components of the system are black holes cannot be ruled out from gravitational-wave data. We discuss possible origins of the system based on its inconsistency with the known Galactic BNS population. Under the assumption that the signal was produced by a BNS coalescence, the local rate of neutron star mergers is updated to 250-2810.

1,189 citations

Journal ArticleDOI
TL;DR: A novel mechanism by which fatty acids modulate signaling pathways and target gene expression is represented by both SFA-induced COX-2 expression and its inhibition by UFAs are mediated through a common signaling pathway derived from Tlr4.

1,189 citations

Journal ArticleDOI
TL;DR: This article found no evidence that economic dependence causes Big Five auditors to report more favorably for larger clients in their offices, and they do find that Big 5 auditors report more conservatively for large clients, suggesting that reputation protection dominates auditor behavior.

1,187 citations


Authors

Showing all 40485 results

NameH-indexPapersCitations
H. S. Chen1792401178529
John A. Rogers1771341127390
Omar M. Yaghi165459163918
Barry M. Popkin15775190453
John E. Morley154137797021
Claude Bouchard1531076115307
Ruth J. F. Loos14264792485
Ali Khademhosseini14088776430
Shanhui Fan139129282487
Joseph E. LeDoux13947891500
Christopher T. Walsh13981974314
Kenneth A. Dodge13846879640
Steven B. Heymsfield13267977220
George A. Bray131896100975
Zhanhu Guo12888653378
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202362
2022608
20213,042
20203,095
20192,874
20182,762