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Institution

Northwestern University

EducationEvanston, Illinois, United States
About: Northwestern University is a education organization based out in Evanston, Illinois, United States. It is known for research contribution in the topics: Population & Medicine. The organization has 75430 authors who have published 188857 publications receiving 9463252 citations. The organization is also known as: Northwestern & NU.


Papers
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Journal ArticleDOI
TL;DR: Instrumental variable (IV) methods are commonly used in accounting research (e.g., earnings management, corporate governance, executive compensation, and disclosure research) when the regressor variables are endogenous as mentioned in this paper.

1,431 citations

Journal ArticleDOI
TL;DR: Nontraumatic intracerebral hemorrhage is bleeding into the parenchyma of the brain that may extend into the ventricles and, in rare cases, the subarachnoid space.
Abstract: Nontraumatic intracerebral hemorrhage is bleeding into the parenchyma of the brain that may extend into the ventricles and, in rare cases, the subarachnoid space. Each year, approximately 37,000 to 52,400 people in the United States have an intracerebral hemorrhage.1,2 This rate is expected to double during the next 50 years as a result of the increasing age of the population and changes in racial demographics. Intracerebral hemorrhage accounts for 10 to 15 percent of all cases of stroke and is associated with the highest mortality rate, with only 38 percent of affected patients surviving the first year.3 Depending on . . .

1,424 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, M. R. Abernathy1  +976 moreInstitutions (107)
TL;DR: It is found that the final remnant's mass and spin, as determined from the low-frequency and high-frequency phases of the signal, are mutually consistent with the binary black-hole solution in general relativity.
Abstract: The LIGO detection of GW150914 provides an unprecedented opportunity to study the two-body motion of a compact-object binary in the large-velocity, highly nonlinear regime, and to witness the final merger of the binary and the excitation of uniquely relativistic modes of the gravitational field. We carry out several investigations to determine whether GW150914 is consistent with a binary black-hole merger in general relativity. We find that the final remnant’s mass and spin, as determined from the low-frequency (inspiral) and high-frequency (postinspiral) phases of the signal, are mutually consistent with the binary black-hole solution in general relativity. Furthermore, the data following the peak of GW150914 are consistent with the least-damped quasinormal mode inferred from the mass and spin of the remnant black hole. By using waveform models that allow for parametrized general-relativity violations during the inspiral and merger phases, we perform quantitative tests on the gravitational-wave phase in the dynamical regime and we determine the first empirical bounds on several high-order post-Newtonian coefficients. We constrain the graviton Compton wavelength, assuming that gravitons are dispersed in vacuum in the same way as particles with mass, obtaining a 90%-confidence lower bound of 1013 km. In conclusion, within our statistical uncertainties, we find no evidence for violations of general relativity in the genuinely strong-field regime of gravity.

1,421 citations

Journal ArticleDOI
TL;DR: This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences and is made robust to imprecise knowledge of the received signature waveform of the user of interest.
Abstract: The decorrelating detector and the linear minimum mean-square error (MMSE) detector are known to be effective strategies to counter the presence of multiuser interference in code-division multiple-access channels; in particular, those multiuser detectors provide optimum near-far resistance. When training data sequences are available, the MMSE multiuser detector can be implemented adaptively without knowledge of signature waveforms or received amplitudes. This paper introduces an adaptive multiuser detector which converges (for any initialization) to the MMSE detector without requiring training sequences. This blind multiuser detector requires no more knowledge than does the conventional single-user receiver: the desired user's signature waveform and its timing. The proposed blind multiuser detector is made robust with respect to imprecise knowledge of the received signature waveform of the user of interest. >

1,420 citations


Authors

Showing all 76189 results

NameH-indexPapersCitations
George M. Whitesides2401739269833
Ralph B. D'Agostino2261287229636
Daniel Levy212933194778
David Miller2032573204840
Ronald M. Evans199708166722
Michael Marmot1931147170338
Robert C. Nichol187851162994
Scott M. Grundy187841231821
Stuart H. Orkin186715112182
Michael A. Strauss1851688208506
Ralph Weissleder1841160142508
Patrick O. Brown183755200985
Aaron R. Folsom1811118134044
Valentin Fuster1791462185164
Ronald C. Petersen1781091153067
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023275
20221,183
202110,513
202010,260
20199,331
20188,301