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@IntJEpidemiol

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The International Journal of Epidemiology, published by Oxford University Press on behalf of the International Epidemiological Association

Sydney, New South Wales
Joined October 2014
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The Chinese famine of 1959–61and long-term health conditions: a systematic review and meta-analysis
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Education Corner: SAS and R code for probabilistic quantitative bias analysis for misclassified binary variables and binary unmeasured confounders
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Estimands in cluster-randomized trials: choosing analyses that answer the right question
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Education Corner: Reflection on modern methods: constructing directed acyclic graphs (DAGs) with domain experts for health services research
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Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference
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Reducing socio-economic inequalities in all-cause mortality: a counterfactual mediation approach
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Among IJE's most cited articles: A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives
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Measuring excess mortality due to the COVID-19 pandemic: progress and persistent challenges
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Accounting for missing data in statistical analyses: multiple imputation is not always the answer
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The population-attributable fraction for time-to-event data
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Cohort profile: The 100 Million Brazilian Cohort
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The causal effects of health conditions and risk factors on social and socioeconomic outcomes: Mendelian randomization in UK Biobank
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Analyses of ‘change scores’ do not estimate causal effects in observational data
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@IntJEpidemiol
IJE
10 months
Overadjustment bias in systematic reviews and meta-analyses of socio-economic inequalities in health: a meta-research scoping review
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Reflection on modern methods: selection bias—a review of recent developments
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Evidence synthesis for constructing directed acyclic graphs (ESC-DAGs): a novel and systematic method for building directed acyclic graphs
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Reflections on modern methods: Statistics education beyond ‘significance’: novel plain English interpretations to deepen understanding of statistics and to steer away from misinterpretations
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Revisiting the IJE’s Cohort Profile series—how have the cohorts fared?
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Causal inference in epidemiology: potential outcomes, pluralism and peer review
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Simultaneous adjustment of uncontrolled confounding, selection bias and misclassification in multiple-bias modelling
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MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data
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Tools for assessing quality and risk of bias in Mendelian randomization studies: a systematic review
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Does selective survival before study enrolment attenuate estimated effects of education on rate of cognitive decline in older adults? A simulation approach for quantifying survival bias in life course epidemiology
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Farewell to the Editors of the International Journal of Epidemiology: an appreciation
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Investigation of the structure and magnitude of time-varying uncontrolled confounding in simulated cohort data analyzed using g-computation
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Big data bring big controversies: HDL cholesterol and mortality
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@IntJEpidemiol
IJE
8 months
A guide for a student-led doctoral-level qualitative methods short course in epidemiology: faculty and student perspectives
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Assumptions and analysis planning in studies with missing data in multiple variables: moving beyond the MCAR/MAR/MNAR classification
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Big data, observational research and P-value: a recipe for false-positive findings? A study of simulated and real prospective cohorts
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Simultaneous adjustment of uncontrolled confounding, selection bias and misclassification in multiple-bias modelling
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Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations
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The culprit is the carrier, not the loads: cholesterol, triglycerides and apolipoprotein B in atherosclerosis and coronary heart disease
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A proposal for capturing interaction and effect modification using DAGs
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Impact of Brazil’s Bolsa Família Programme on cardiovascular and all-cause mortality: a natural experiment study using the 100 Million Brazilian Cohort
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A causal inference perspective on the analysis of compositional data
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Intersections of machine learning and epidemiological methods for health services research
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@IntJEpidemiol
IJE
10 months
Dialling back ‘impact’ claims: researchers should not be compelled to make policy claims based on single studies
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Educational note: types of causes
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Reflection on modern methods: combining weights for confounding and missing data
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Reflection on modern methods: a common error in the segmented regression parameterization of interrupted time-series analyses
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Causal inference—so much more than statistics
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Reflections on modern methods: demystifying robust standard errors for epidemiologists
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Assumptions and analysis planning in studies with missing data in multiple variables: moving beyond the MCAR/MAR/MNAR classification
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How to avoid overestimating the burden of hypertension in epidemiological studies? A new methodology to account for within-person variability of blood pressure
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Exploring the impact of selection bias in observational studies of COVID-19: a simulation study
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E-values for effect heterogeneity and approximations for causal interaction
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Letter to the Editor: Are there really no causal associations between childhood family income and subsequent outcomes?
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Epidemiology at a time for unity
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Causal models adjusting for time-varying confounding—a systematic review of the literature
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Estimating the effect of physical activity on cognitive function within the UK Biobank cohort
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Modelling change in a causal framework
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Confounding by ill health in the observed association between BMI and mortality: evidence from the HUNT Study using offspring BMI as an instrument
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Differential vulnerability and susceptibility: how to make use of recent development in our understanding of mediation and interaction to tackle health inequalities
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Analysis of multicentre epidemiological studies: contrasting fixed or random effects modelling and meta-analysis
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Assessing the impact of unmeasured confounding for binary outcomes using confounding functions
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The challenging interpretation of instrumental variable estimates under monotonicity
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Collider scope: when selection bias can substantially influence observed associations
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Most cited in the IJE: A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives
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Prospective associations between diet quality and body mass index in disadvantaged women: the READI study
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Most read in the IJE: Interrupted time series regression for the evaluation of public health interventions: a tutorial
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Reflection on modern methods: good practices for applied statistical learning in epidemiology
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Measuring education in the context of health inequalities
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The effect on women’s health of extending parental leave: a quasi-experimental registry-based cohort study
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Maternal age and the risk of low birthweight and pre-term delivery: a pan-Nordic comparison
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Estimates of excess mortality for the five Nordic countries during the COVID-19 pandemic 2020−2021
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The use of negative control outcomes in Mendelian randomization to detect potential population stratification
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How to estimate mortality trends from grouped vital statistics
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Opinion: The primary importance of the research question: implications for understanding natural versus controlled direct effects
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Reflection on modern methods: five myths about measurement error in epidemiological research
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@IntJEpidemiol
IJE
9 months
The case for retiring ‘period prevalence’
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Quantitative bias analysis of prevalence under misclassification: evaluation indicators, calculation method and case analysis
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Physical activity and cause-specific mortality: the Rotterdam Study
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Comparing methods to address bias in observational data: statin use and cardiovascular events in a US cohort
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Software Application Profile: The daggle app—a tool to support learning and teaching the graphical rules of selecting adjustment variables using directed acyclic graphs
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Letter to the Editor: The quintessence of causal DAGs for immortal time bias: time-dependent models
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Association of leisure-time physical activity with total and cause-specific mortality: a pooled analysis of nearly a half million adults in the Asia Cohort Consortium
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Estimating the lifetime risk of dementia using nationwide individually linked cause-of-death and health register data
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Making epidemiology matter
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Which time investments in the first 5 years of life matter most for children’s language and behavioural outcomes at school entry?
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Impact of follow-up time and analytical approaches to account for reverse causality on the association between physical activity and health outcomes in UK Biobank
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Measurement error as an explanation for the alcohol harm paradox: analysis of eight cohort studies
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Influence of maternal age on birth and infant outcomes at 6 months: a cohort study with quantitative bias analysis
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Effects of poverty on mental health in the UK working-age population: causal analyses of the UK Household Longitudinal Study
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A Bayesian approach to investigate life course hypotheses involving continuous exposures
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EpiMetal: an open-source graphical web browser tool for easy statistical analyses in epidemiology and metabolomics
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Patterns of multimorbid health conditions: a systematic review of analytical methods and comparison analysis
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Education Corner: Estimating intra-cluster correlation coefficients for planning longitudinal cluster randomized trials: a tutorial
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Reflections on modern methods: generalized linear models for prognosis and intervention—theory, practice and implications for machine learning
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A comparison of quasi-experimental methods with data before and after an intervention: an introduction for epidemiologists and a simulation study
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Factors associated with sharing e-mail information and mental health survey participation in large population cohorts
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A two-step method for variable selection in the analysis of a case-cohort study
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Is smoking heaviness causally associated with alcohol use? A Mendelian randomization study in four European cohorts
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Birthweight in offspring and cardiovascular mortality in their parents, aunts and uncles: a family-based cohort study of 1.35 million births
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Using allele scores to identify confounding by reverse causation: studies of alcohol consumption as an exemplar
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Negative control exposure studies in the presence of measurement error
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Explanation in causal inference: developments in mediation and interaction by Tyler VanderWeele Symposium in the IJE
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Cohort Profile: South African Population Research Infrastructure Network (SAPRIN)
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COVID-19 epidemic: disentangling the re-emerging controversy about medical facemasks from an epidemiological perspective
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