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JournalISSN: 0300-5771

International Journal of Epidemiology

About: International Journal of Epidemiology is an academic journal. The journal publishes majorly in the area(s): Population & Cohort. It has an ISSN identifier of 0300-5771. Over the lifetime, 9399 publication(s) have been published receiving 524618 citation(s). The journal is also known as: Int. J. Epidemiol..

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Topics: Population, Cohort, Cohort study ...read more
Papers
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Open accessJournal ArticleDOI: 10.1093/IJE/DYH055
Tom Marshall1Institutions (1)
Topics: MEDLINE (52%), Cohort study (52%)

3,851 Citations


Open accessJournal ArticleDOI: 10.1093/IJE/30.3.427
Geoffrey Rose1Institutions (1)
Abstract: Aetiology confronts two distinct issues: the determinants of individual cases, and the determinants of incidence rate. If exposure to a necessary agent is homogeneous within a population, then case/control and cohort methods will fail to detect it: they will only identify markers of susceptibility. The corresponding strategies in control are the 'high-risk' approach, which seeks to protect susceptible individuals, and the population approach, which seeks to control the causes of incidence. The two approaches are not usually in competition, but the prior concern should always be to discover and control the causes of incidence.

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Topics: Population (55%), Prevention paradox (52%)

3,104 Citations


Open accessJournal ArticleDOI: 10.1093/IJE/DYG070
George Davey Smith1, Shah EbrahimInstitutions (1)
Abstract: Associations between modifiable exposures and disease seen in observational epidemiology are sometimes confounded and thus misleading, despite our best efforts to improve the design and analysis of studies. Mendelian randomization-the random assortment of genes from parents to offspring that occurs during gamete formation and conception-provides one method for assessing the causal nature of some environmental exposures. The association between a disease and a polymorphism that mimics the biological link between a proposed exposure and disease is not generally susceptible to the reverse causation or confounding that may distort interpretations of conventional observational studies. Several examples where the phenotypic effects of polymorphisms are well documented provide encouraging evidence of the explanatory power of Mendelian randomization and are described. The limitations of the approach include confounding by polymorphisms in linkage disequilibrium with the polymorphism under study, that polymorphisms may have several phenotypic effects associated with disease, the lack of suitable polymorphisms for studying modifiable exposures of interest, and canalization-the buffering of the effects of genetic variation during development. Nevertheless, Mendelian randomization provides new opportunities to test causality and demonstrates how investment in the human genome project may contribute to understanding and preventing the adverse effects on human health of modifiable exposures.

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2,806 Citations



Open accessJournal ArticleDOI: 10.1093/IJE/26.1.224
Abstract: Background This paper discusses appropriate strategies for multivariate data analysis in epidemiological studies. Methods In studies where determinants of disease are sought, it is suggested that the complex hierarchical inter-relationships between these determinants are best managed through the use of conceptual frameworks. Failure to take these aspects into consideration is common in the epidemiological literature and leads to underestimation of the effects of distal determinants. Results An example of this analytical approach, which is not based purely on statistical associations, is given for assessing determinants of mortality due to diarrhoea in children. Conclusions Conceptual frameworks provide guidance for the use of multivariate techniques and aid the interpretation of their results in the light of social and biological knowledge.

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Topics: Conceptual framework (54%)

2,017 Citations


Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2021373
2020229
2019262
2018279
2017221
2016392

Top Attributes

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Journal's top 5 most impactful authors

George Davey Smith

154 papers, 16.8K citations

Shah Ebrahim

66 papers, 5.7K citations

Debbie A Lawlor

48 papers, 7.2K citations

Neil Pearce

43 papers, 2.4K citations

Cesar G. Victora

33 papers, 2.2K citations

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