Institution
University at Buffalo
Education•Buffalo, New York, United States•
About: University at Buffalo is a education organization based out in Buffalo, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 33773 authors who have published 63840 publications receiving 2278954 citations. The organization is also known as: UB & State University of New York at Buffalo.
Papers published on a yearly basis
Papers
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TL;DR: The Im-Pesaran-Shin (IPS) test as discussed by the authors relaxes the restrictive assumption of the LL test and is best viewed as a test for summarizing the evidence from independent tests of the sample hypothesis.
Abstract: The panel data unit root test suggested by Levin and Lin (LL) has been widely used in several applications, notably in papers on tests of the purchasing power parity hypothesis. This test is based on a very restrictive hypothesis which is rarely ever of interest in practice. The Im–Pesaran–Shin (IPS) test relaxes the restrictive assumption of the LL test. This paper argues that although the IPS test has been offered as a generalization of the LL test, it is best viewed as a test for summarizing the evidence from a number of independent tests of the sample hypothesis. This problem has a long statistical history going back to R. A. Fisher. This paper suggests the Fisher test as a panel data unit root test, compares it with the LL and IPS tests, and the Bonferroni bounds test which is valid for correlated tests. Overall, the evidence points to the Fisher test with bootstrap-based critical values as the preferred choice. We also suggest the use of the Fisher test for testing stationarity as the null and also in testing for cointegration in panel data.
6,652 citations
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TL;DR: In this paper, a stress-strain model for concrete subjected to uniaxial compressive loading and confined by transverse reinforcement is developed for concrete sections with either spiral or circular hoops, or rectangular hoops with or without supplementary cross ties.
Abstract: A stress‐strain model is developed for concrete subjected to uniaxial compressive loading and confined by transverse reinforcement. The concrete section may contain any general type of confining steel: either spiral or circular hoops; or rectangular hoops with or without supplementary cross ties. These cross ties can have either equal or unequal confining stresses along each of the transverse axes. A single equation is used for the stress‐strain equation. The model allows for cyclic loading and includes the effect of strain rate. The influence of various types of confinement is taken into account by defining an effective lateral confining stress, which is dependent on the configuration of the transverse and longitudinal reinforcement. An energy balance approach is used to predict the longitudinal compressive strain in the concrete corresponding to first fracture of the transverse reinforcement by equating the strain energy capacity of the transverse reinforcement to the strain energy stored in the concret...
6,261 citations
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TL;DR: In this paper, customer loyalty is viewed as the strength of the relationship between an individual's relative attitude and repeat patronage, and the relationship is mediated by social norms and situational factors.
Abstract: Customer loyalty is viewed as the strength of the relationship between an individual’s relative attitude and repeat patronage. The relationship is seen as mediated by social norms and situational factors. Cognitive, affective, and conative antecedents of relative attitude are identified as contributing to loyalty, along with motivational, perceptual, and behavioral consequences. Implications for research and for the management of loyalty are derived.
6,255 citations
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TL;DR: The GRADE process begins with asking an explicit question, including specification of all important outcomes, and provides explicit criteria for rating the quality of evidence that include study design, risk of bias, imprecision, inconsistency, indirectness, and magnitude of effect.
6,093 citations
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TL;DR: Strong recommendations apply to most patients, whereas weak recommendations are sensitive to differences among patients, including their preferences.
5,924 citations
Authors
Showing all 34002 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rakesh K. Jain | 200 | 1467 | 177727 |
Julie E. Buring | 186 | 950 | 132967 |
Anil K. Jain | 183 | 1016 | 192151 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Roger A. Nicoll | 165 | 397 | 84121 |
Bruce L. Miller | 163 | 1153 | 115975 |
David R. Holmes | 161 | 1624 | 114187 |
Suvadeep Bose | 154 | 960 | 129071 |
Ashok Kumar | 151 | 5654 | 164086 |
Philip S. Yu | 148 | 1914 | 107374 |
Hugh A. Sampson | 147 | 816 | 76492 |
Aaron Dominguez | 147 | 1968 | 113224 |
Gregory R Snow | 147 | 1704 | 115677 |
J. S. Keller | 144 | 981 | 98249 |
C. Ronald Kahn | 144 | 525 | 79809 |