Institution
University of Auckland
Education•Auckland, New Zealand•
About: University of Auckland is a education organization based out in Auckland, New Zealand. It is known for research contribution in the topics: Population & Context (language use). The organization has 28049 authors who have published 77706 publications receiving 2689366 citations. The organization is also known as: The University of Auckland & Auckland University College.
Topics: Population, Context (language use), Poison control, Health care, Randomized controlled trial
Papers published on a yearly basis
Papers
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TL;DR: Substantial proportions of global disease burden are attributable to these major risks, to an extent greater than previously estimated.
3,654 citations
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TL;DR: The distance-based redundancy analysis (db-RDA) as mentioned in this paper is a nonparametric multivariate analysis of ecological data using permutation tests that is used to partition the variability in the data according to a complex design or model, as is often required in ecological experiments.
Abstract: Nonparametric multivariate analysis of ecological data using permutation tests has two main challenges: (1) to partition the variability in the data according to a complex design or model, as is often required in ecological experiments, and (2) to base the analysis on a multivariate distance measure (such as the semimetric Bray-Curtis measure) that is reasonable for ecological data sets. Previous nonparametric methods have succeeded in one or other of these areas, but not in both. A recent contribution to Ecological Monographs by Legendre and Anderson, called distance-based redundancy analysis (db-RDA), does achieve both. It does this by calculating principal coordinates and subsequently correcting for negative eigenvalues, if they are present, by adding a constant to squared distances. We show here that such a correction is not necessary. Partitioning can be achieved directly from the distance matrix itself, with no corrections and no eigenanalysis, even if the distance measure used is semimetric. An ecological example is given to show the differences in these statistical methods. Empirical simulations, based on parameters estimated from real ecological species abundance data, showed that db-RDA done on multifactorial designs (using the correction) does not have type 1 error consistent with the significance level chosen for the analysis (i.e., does not provide an exact test), whereas the direct method described and advocated here does.
3,468 citations
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04 Oct 2006TL;DR: In this paper, a review of numerical and experimental studies of supercontinuum generation in photonic crystal fiber is presented over the full range of experimentally reported parameters, from the femtosecond to the continuous-wave regime.
Abstract: A topical review of numerical and experimental studies of supercontinuum generation in photonic crystal fiber is presented over the full range of experimentally reported parameters, from the femtosecond to the continuous-wave regime. Results from numerical simulations are used to discuss the temporal and spectral characteristics of the supercontinuum, and to interpret the physics of the underlying spectral broadening processes. Particular attention is given to the case of supercontinuum generation seeded by femtosecond pulses in the anomalous group velocity dispersion regime of photonic crystal fiber, where the processes of soliton fission, stimulated Raman scattering, and dispersive wave generation are reviewed in detail. The corresponding intensity and phase stability properties of the supercontinuum spectra generated under different conditions are also discussed.
3,361 citations
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TL;DR: The International Study of Asthma and Allergies in Childhood (ISAAC), was founded to maximize the value of epidemiological research into asthma and allergic disease, by establishing a standardized methodology and facilitating international collaboration.
Abstract: The aetiology of asthma and allergic disease remains poorly understood, despite considerable research. The International Study of Asthma and Allergies in Childhood (ISAAC), was founded to maximize the value of epidemiological research into asthma and allergic disease, by establishing a standardized methodology and facilitating international collaboration. Its specific aims are: 1) to describe the prevalence and severity of asthma, rhinitis and eczema in children living in different centres, and to make comparisons within and between countries; 2) to obtain baseline measures for assessment of future trends in the prevalence and severity of these diseases; and 3) to provide a framework for further aetiological research into genetic, lifestyle, environmental, and medical care factors affecting these diseases. The ISAAC design comprises three phases. Phase 1 uses core questionnaires designed to assess the prevalence and severity of asthma and allergic disease in defined populations. Phase 2 will investigate possible aetiological factors, particularly those suggested by the findings of Phase 1. Phase 3 will be a repetition of Phase 1 to assess trends in prevalence.
3,325 citations
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TL;DR: Evidence from several disciplines is synthesized to support the contention that environmental factors acting during development should be accorded greater weight in models of disease causation.
Abstract: Many lines of evidence, including epidemiologic data and extensive clinical and experimental studies, indicate that early life events play a powerful role in influencing later susceptibility to certain chronic diseases. This review synthesizes evidence from several disciplines to support the contention that environmental factors acting during development should be accorded greater weight in models of disease causation.
3,290 citations
Authors
Showing all 28484 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Meir J. Stampfer | 277 | 1414 | 283776 |
Frank E. Speizer | 193 | 636 | 135891 |
Bernard Rosner | 190 | 1162 | 147661 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Rory Collins | 162 | 489 | 193407 |
Monique M.B. Breteler | 159 | 546 | 93762 |
Charles H. Hennekens | 150 | 424 | 117806 |
Rajesh Kumar | 149 | 4439 | 140830 |
Hugh A. Sampson | 147 | 816 | 76492 |
David P. Strachan | 143 | 472 | 105256 |
Jun Lu | 135 | 1526 | 99767 |
Peter Zoller | 134 | 734 | 76093 |
David H. Barlow | 133 | 786 | 72730 |
Henry T. Lynch | 133 | 925 | 86270 |