论文信息 - Quantile g-Computation: A New Method for Analyzing Mixtures of Environmental Exposures - 字舞流文

Quantile g-Computation: A New Method for Analyzing Mixtures of Environmental Exposures

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Silke Schmidt | S. Schmidt

[1] Alex Broadbent,et al. Causality and causal inference in epidemiology: the need for a pluralistic approach , 2016, International journal of epidemiology.

[2] Chris Gennings,et al. Multiple classes of environmental chemicals are associated with liver disease: NHANES 2003-2004. , 2013, International journal of hygiene and environmental health.

[3] Air Pollution and Autism Spectrum Disorders: Causal or Confounded? , 2015, Current Environmental Health Reports.

[4] David C Christiani,et al. Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures. , 2015, Biostatistics.

[5] Chris Gennings,et al. Statistical Approaches for Assessing Health Effects of Environmental Chemical Mixtures in Epidemiology: Lessons from an Innovative Workshop , 2016, Environmental health perspectives.

[6] M. Aschner,et al. Manganese metabolism in humans. , 2018, Frontiers in bioscience.

[7] Sherri Rose,et al. Implementation of G-computation on a simulated data set: demonstration of a causal inference technique. , 2011, American journal of epidemiology.

[8] Gregory J. Howard,et al. Environmental Health Perspectives Environmental Health Perspectives Contrasting Theories of Interaction in Epidemiology and Toxicology Contrasting Theories of Interaction in Epidemiology and Toxicology , 2022 .