Suppose that we are interested in the average causal effect of a binary treatment on an outcome when this relationship is confounded by a binary confounder. Suppose that the confounder is unobserved but a nondifferential proxy of it is observed. We show that, under certain monotonicity assumption that is empirically verifiable, adjusting for the proxy produces a measure of the effect that is between the unadjusted and the true measures.Funding Agencies|Swedish Research CouncilSwedish Research CouncilEuropean Commission [2019-00245]</p
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
Manski (Monotone treatment response. Econometrica 1997;65:1311–34) and Manski and Pepper (Monotone i...
We present a method for assessing the sensitivity of the true causal effect to unmeasured confoundin...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
Suppose we want to estimate the causal effect of an exposure on an outcome, while adjusting for a bi...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Suppose we want to estimate the causal effect of an exposure on an outcome, while adjusting for a bi...
Abstract Consider a study with binary exposure, outcome, and confounder, where the confounder is non...
Manski (1997) and Manski and Pepper (2000) gave sharp bounds on causal effects under the assumptions...
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
Manski (Monotone treatment response. Econometrica 1997;65:1311–34) and Manski and Pepper (Monotone i...
We present a method for assessing the sensitivity of the true causal effect to unmeasured confoundin...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
Suppose that we are interested in the average causal effect of a binary treatment on an outcome when...
Suppose we want to estimate the causal effect of an exposure on an outcome, while adjusting for a bi...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Biological and epidemiological phenomena are often measured with error or imperfectly captured in da...
Suppose we want to estimate the causal effect of an exposure on an outcome, while adjusting for a bi...
Abstract Consider a study with binary exposure, outcome, and confounder, where the confounder is non...
Manski (1997) and Manski and Pepper (2000) gave sharp bounds on causal effects under the assumptions...
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
Consider a study in which the effect of a binary exposure on an outcome operates partly through a bi...
Manski (Monotone treatment response. Econometrica 1997;65:1311–34) and Manski and Pepper (Monotone i...
We present a method for assessing the sensitivity of the true causal effect to unmeasured confoundin...