Environmental exposure mixtures: questions and methods to address them
GB Hamra, JP Buckley - Current epidemiology reports, 2018 - Springer
Abstract Purpose of This Review This review provides a summary of statistical approaches
that researchers can use to study environmental exposure mixtures. Two primary …
that researchers can use to study environmental exposure mixtures. Two primary …
A quantile-based g-computation approach to addressing the effects of exposure mixtures
Background: Exposure mixtures frequently occur in data across many domains, particularly
in the fields of environmental and nutritional epidemiology. Various strategies have arisen to …
in the fields of environmental and nutritional epidemiology. Various strategies have arisen to …
Metabolic signatures of youth exposure to mixtures of per-and polyfluoroalkyl substances: a multi-cohort study
Background: Exposure to per-and polyfluoroalkyl substances (PFAS) is ubiquitous and has
been associated with an increased risk of several cardiometabolic diseases. However, the …
been associated with an increased risk of several cardiometabolic diseases. However, the …
The causal cookbook: Recipes for propensity scores, g-computation, and doubly robust standardization
Recent developments in the causal-inference literature have renewed psychologists' interest
in how to improve causal conclusions based on observational data. A lot of the recent writing …
in how to improve causal conclusions based on observational data. A lot of the recent writing …
Estimating causal effects of interventions on early-life environmental exposures using observational data
Abstract Purpose of Review We discuss how epidemiologic studies have used observational
data to estimate the effects of potential interventions on early-life environmental exposures …
data to estimate the effects of potential interventions on early-life environmental exposures …
Parametric G‐computation for compatible indirect treatment comparisons with limited individual patient data
A Remiro‐Azócar, A Heath… - Research synthesis …, 2022 - Wiley Online Library
Population adjustment methods such as matching‐adjusted indirect comparison (MAIC) are
increasingly used to compare marginal treatment effects when there are cross‐trial …
increasingly used to compare marginal treatment effects when there are cross‐trial …
Estimating a causal exposure response function with a continuous error-prone exposure: a study of fine particulate matter and all-cause mortality
Numerous studies have examined the associations between long-term exposure to fine
particulate matter (PM 2.5) and adverse health outcomes. Recently, many of these studies …
particulate matter (PM 2.5) and adverse health outcomes. Recently, many of these studies …
Bayesian g-computation for estimating impacts of interventions on exposure mixtures: demonstration with metals from coal-fired power plants and birth weight
AP Keil, JP Buckley… - American journal of …, 2021 - academic.oup.com
The importance of studying the health impacts of exposure mixtures is increasingly being
recognized, but such research presents many methodological and interpretation difficulties …
recognized, but such research presents many methodological and interpretation difficulties …
[HTML][HTML] BayesGmed: An R-package for Bayesian causal mediation analysis
Background The past decade has seen an explosion of research in causal mediation
analysis. However, most analytic tools developed so far rely on frequentist methods which …
analysis. However, most analytic tools developed so far rely on frequentist methods which …
Response to “comment on 'a quantile-based g-computation approach to addressing the effects of exposure mixtures'”
We thank Dr. Gennings for taking interest in our research. Here we respond to Dr. Gennings'
letter (Gennings 2021; hereafter referred to as “the letter”), which raises several points …
letter (Gennings 2021; hereafter referred to as “the letter”), which raises several points …