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Reflection on modern methods: cause of death decomposition of cohort survival comparisons
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Can synthetic controls improve causal inference in interrupted time series evaluations of public health interventions?
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Reflection 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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Reflection on modern methods: demystifying robust standard errors for epidemiologists
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A directed acyclic graph for interactions
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Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations
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Reflection on modern methods: good practices for applied statistical learning in epidemiology
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The Malmö Offspring Study (MOS): design, methods and first results
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The EU Child Cohort Network’s core data: establishing a set of findable, accessible, interoperable and re-usable (FAIR) variables
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Humsamverkan
https://www.lupop.lu.se/article/humsamverkan- 2021-01-25
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Barriers and enablers to routine register data collection for newborns and mothers
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Mendelian randomisation for mediation analysis: current methods and challenges for implementation
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Bayesian Pathway Analysis for Complex Interactions
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At-risk-measure Sampling in Case–Control Studies with Aggregated Data
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Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why
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Do-search: A Tool for Causal Inference and Study Design with Multiple Data Sources
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Regression Discontinuity Designs in Health
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Is Cohort Representativeness Passé? Poststratified Associations of Lifestyle Risk Factors with Mortality in the UK Biobank
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To Adjust or Not to Adjust? When a “Confounder” Is Only Measured After Exposure
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Causal Organic Indirect and Direct Effects: Closer to the Original Approach to Mediation Analysis, with a Product Method for Binary Mediators