Estimation of causal effects of time-varying exposures using longitudinal data is a common problem in epidemiology. When there are time-varying confounders, which may include past outcomes, affected by prior exposure, standard regression methods can lead to bias. Methods such as inverse probability weighted estimation of marginal structural models have been developed to address this problem. However, in this paper we show how standard regression methods can be used, even in the presence of time-dependent confounding, to estimate the total effect of an exposure on a subsequent outcome by controlling appropriately for prior exposures, outcomes and time-varying covariates. We refer to the resulting estimation approach as sequential conditional...
Much research has been conducted into methods for estimation of time-varying exposure effects. Howev...
Much of epidemiology and clinical medicine is focused on the estimation of treatments or interventio...
Accounting for time-varying confounding when assessing the causal effects of time-varying exposures ...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Abstract Estimation of causal effects of time-varying exposures using longitudinal data is a common ...
Many exposures of epidemiological interest are time varying, and the values of potential confounders...
Many exposures of epidemiological interest are time varying, and the values of potential confounders...
Causal Inference based on Marginal Structural Models (MSMs) is particularly attractive to subject-ma...
Longitudinal studies in which exposures, confounders, and outcomes are measured repeatedly over time...
Longitudinal studies in which exposures, confounders, and outcomes are measured repeatedly over time...
In longitudinal observational studies, standard regression methods fail to consistently estimate the...
Accounting for time-varying confounding when assessing the causal effects of time-varying exposures ...
Much research has been conducted into methods for estimation of time-varying exposure effects. Howev...
Much of epidemiology and clinical medicine is focused on the estimation of treatments or interventio...
Accounting for time-varying confounding when assessing the causal effects of time-varying exposures ...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Estimation of causal effects of time-varying exposures using longitudinal data is a common problem i...
Abstract Estimation of causal effects of time-varying exposures using longitudinal data is a common ...
Many exposures of epidemiological interest are time varying, and the values of potential confounders...
Many exposures of epidemiological interest are time varying, and the values of potential confounders...
Causal Inference based on Marginal Structural Models (MSMs) is particularly attractive to subject-ma...
Longitudinal studies in which exposures, confounders, and outcomes are measured repeatedly over time...
Longitudinal studies in which exposures, confounders, and outcomes are measured repeatedly over time...
In longitudinal observational studies, standard regression methods fail to consistently estimate the...
Accounting for time-varying confounding when assessing the causal effects of time-varying exposures ...
Much research has been conducted into methods for estimation of time-varying exposure effects. Howev...
Much of epidemiology and clinical medicine is focused on the estimation of treatments or interventio...
Accounting for time-varying confounding when assessing the causal effects of time-varying exposures ...