Counterpoint: epidemiology to guide decision-making: moving away from practice-free research
about
Causal inference and longitudinal data: a case study of religion and mental health.Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented?Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses.Methodologic Issues When Estimating Risks in Pharmacoepidemiology.Outcome-wide Epidemiology.Does water kill? A call for less casual causal inferences.Vandenbroucke and Pearce respond to "incident and prevalent exposures and causal inference".Estimating the comparative effectiveness of feeding interventions in the paediatric intensive care unit: a demonstration of longitudinal targeted maximum likelihood estimation.Conditioning on future exposure to define study cohorts can induce bias: the case of low-dose acetylsalicylic acid and risk of major bleeding.Primary non-adherence and the new-user design.Electronic medical records can be used to emulate target trials of sustained treatment strategies.
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Counterpoint: epidemiology to guide decision-making: moving away from practice-free research
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年論文
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2015年论文
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2015年论文
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2015年论文
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name
Counterpoint: epidemiology to ...... ay from practice-free research
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Counterpoint: epidemiology to ...... ay from practice-free research
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Counterpoint: epidemiology to ...... ay from practice-free research
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Counterpoint: epidemiology to ...... ay from practice-free research
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Miguel A Hernán
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10.1093/AJE/KWV215
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2015-10-26T00:00:00Z