Results 231 to 240 of about 7,107,477 (265)
Prior Authorization of Medication and Its Influence on Provider Behavior: Latent Class Analysis.
J Med Internet ResSalzbrenner S, Scheier LM, Qiu F.
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The Journal of Hand Surgery, 2013
c ( l WHEN RADIOGRAPHS ARE normal in a young adult patient with snuffbox tenderness after a fall, we turn to more sophisticated radiological examination to rule out a fracture of the scaphoid. But each examination can miss a fracture or suggest a fracture when one is not present. There is no test that is both reliable and accurate in the diagnosis of a
Neuhaus, Valentin, Ring, David C
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c ( l WHEN RADIOGRAPHS ARE normal in a young adult patient with snuffbox tenderness after a fall, we turn to more sophisticated radiological examination to rule out a fracture of the scaphoid. But each examination can miss a fracture or suggest a fracture when one is not present. There is no test that is both reliable and accurate in the diagnosis of a
Neuhaus, Valentin, Ring, David C
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Class Analysis and Class Theory
Sociology, 1995Recent critiques of the usefulness of the concept of class (Pahl 1989; Clark and Lipset 1991) have developed into more specific criticisms of the lack of theory underlying `class analysis' as practised by Goldthorpe and his associates (Pahl 1993; Rose 1993).
Richard Breen, David Rottman
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2019
Class A simulations describe situations featuring intermittent workloads. In Simulation2, two users submit equal but complementary workloads. As the number of users increases—to 6 in Simulation6, 11 in Simulation10, and 21 in Simulation14—one user’s submission rate stays constant while the workload from the second user (5000 tasks) is distributed among
Art Sedighi, Milton Smith
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Class A simulations describe situations featuring intermittent workloads. In Simulation2, two users submit equal but complementary workloads. As the number of users increases—to 6 in Simulation6, 11 in Simulation10, and 21 in Simulation14—one user’s submission rate stays constant while the workload from the second user (5000 tasks) is distributed among
Art Sedighi, Milton Smith
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2018
Latent class analysis (LCA) is a statistical method for identifying unobserved groups based on patterns of categorical data. LCA is related to cluster analysis (see Chapter 4, this volume) in that both methods are concerned with the classification of cases (e.g., people or objects) into groups that are not known or specified a priori.
Karen M. Samuelsen, C. Mitchell Dayton
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Latent class analysis (LCA) is a statistical method for identifying unobserved groups based on patterns of categorical data. LCA is related to cluster analysis (see Chapter 4, this volume) in that both methods are concerned with the classification of cases (e.g., people or objects) into groups that are not known or specified a priori.
Karen M. Samuelsen, C. Mitchell Dayton
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Class-Incremental Generalized Discriminant Analysis
Neural Computation, 2006Generalized discriminant analysis (GDA) is the nonlinear extension of the classical linear discriminant analysis (LDA) via the kernel trick. Mathematically, GDA aims to solve a generalized eigenequation problem, which is always implemented by the use of singular value decomposition (SVD) in the previously proposed GDA algorithms.
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