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Institution

University of Connecticut

EducationStorrs, Connecticut, United States
About: University of Connecticut is a(n) education organization based out in Storrs, Connecticut, United States. It is known for research contribution in the topic(s): Population & Poison control. The organization has 35297 authors who have published 81224 publication(s) receiving 2952682 citation(s). The organization is also known as: UConn & Storrs Agricultural School.


Papers
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Journal ArticleDOI
Abstract: The effects of reward or reinforcement on preceding behavior depend in part on whether the person perceives the reward as contingent on his own behavior or independent of it. Acquisition and performance differ in situations perceived as determined by skill versus chance. Persons may also differ in generalized expectancies for internal versus external control of reinforcement. This report summarizes several experiments which define group differences in behavior when Ss perceive reinforcement as contingent on their behavior versus chance or experimenter control. The report also describes the development of tests of individual differences in a generalized belief in internal-external control and provides reliability, discriminant validity and normative data for 1 test, along with a description of the results of several studies of construct validity.

20,553 citations

Journal ArticleDOI
TL;DR: The 1971 preliminary criteria for the classification of systemic lupus erythematosus (SLE) were revised and updated to incorporate new immunologic knowledge and improve disease classification and showed gains in sensitivity and specificity.
Abstract: The 1971 preliminary criteria for the classification of systemic lupus erythematosus (SLE) were revised and updated to incorporate new immunologic knowledge and improve disease classification. The 1982 revised criteria include fluorescence antinuclear antibody and antibody to native DNA and Sm antigen. Some criteria involving the same organ systems were aggregated into single criteria. Raynaud's phenomenon and alopecia were not included in the 1982 revised criteria because of low sensitivity and specificity. The new criteria were 96% sensitive and 96% specific when tested with SLE and control patient data gathered from 18 participating clinics. When compared with the 1971 criteria, the 1982 revised criteria showed gains in sensitivity and specificity.

13,962 citations

Journal ArticleDOI
TL;DR: Criteria for the classification of fibromyalgia are widespread pain in combination with 2) tenderness at 11 or more of the 18 specific tender point sites, and no exclusions are made for the presence of concomitant radiographic or laboratory abnormalities.
Abstract: To develop criteria for the classification of fibromyalgia, we studied 558 consecutive patients: 293 patients with fibromyalgia and 265 control patients. Interviews and examinations were performed by trained, blinded assessors. Control patients for the group with primary fibromyalgia were matched for age and sex, and limited to patients with disorders that could be confused with primary fibromyalgia. Control patients for the group with secondary-concomitant fibromyalgia were matched for age, sex, and concomitant rheumatic disorders. Widespread pain (axial plus upper and lower segment plus left- and right-sided pain) was found in 97.6% of all patients with fibromyalgia and in 69.1% of all control patients. The combination of widespread pain and mild or greater tenderness in greater than or equal to 11 of 18 tender point sites yielded a sensitivity of 88.4% and a specificity of 81.1%. Primary fibromyalgia patients and secondary-concomitant fibromyalgia patients did not differ statistically in any major study variable, and the criteria performed equally well in patients with and those without concomitant rheumatic conditions. The newly proposed criteria for the classification of fibromyalgia are 1) widespread pain in combination with 2) tenderness at 11 or more of the 18 specific tender point sites. No exclusions are made for the presence of concomitant radiographic or laboratory abnormalities. At the diagnostic or classification level, the distinction between primary fibromyalgia and secondary-concomitant fibromyalgia (as defined in the text) is abandoned.

8,920 citations

Journal ArticleDOI
Abstract: Stochastic substitution, the Gibbs sampler, and the sampling-importance-resampling algorithm can be viewed as three alternative sampling- (or Monte Carlo-) based approaches to the calculation of numerical estimates of marginal probability distributions. The three approaches will be reviewed, compared, and contrasted in relation to various joint probability structures frequently encountered in applications. In particular, the relevance of the approaches to calculating Bayesian posterior densities for a variety of structured models will be discussed and illustrated.

6,132 citations

Journal Article
TL;DR: Stochastic substitution, the Gibbs sampler, and the sampling-importance-resampling algorithm can be viewed as three alternative sampling- (or Monte Carlo-) based approaches to the calculation of numerical estimates of marginal probability distributions.
Abstract: Stochastic substitution, the Gibbs sampler, and the sampling-importance-resampling algorithm can be viewed as three alternative sampling- (or Monte Carlo-) based approaches to the calculation of numerical estimates of marginal probability distributions. The three approaches will be reviewed, compared, and contrasted in relation to various joint probability structures frequently encountered in applications. In particular, the relevance of the approaches to calculating Bayesian posterior densities for a variety of structured models will be discussed and illustrated.

6,050 citations


Authors

Showing all 35297 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Richard A. Flavell2311328205119
Ralph Weissleder1841160142508
Eric J. Nestler178748116947
David L. Kaplan1771944146082
Masayuki Yamamoto1711576123028
Mark Gerstein168751149578
Marc A. Pfeffer166765133043
Carl W. Cotman165809105323
Murray F. Brennan16192597087
Alfred L. Goldberg15647488296
Xiang Zhang1541733117576
Hakon Hakonarson152968101604
Christopher P. Cannon1511118108906
James M. Wilson150101078686
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202261
20214,489
20204,341
20193,789
20183,498
20173,640