Evaluating a Key Instrumental Variable Assumption Using Randomization Tests
نویسندگان
چکیده
منابع مشابه
Instrumental Variable Estimation with a Stochastic Monotonicity Assumption
The instrumental variables (IV) method provides a way to estimate the causal effect of a treatment when there are unmeasured confounding variables. The method requires a valid IV, a variable that is independent of the unmeasured confounding variables and is associated with the treatment but which has no effect on the outcome beyond its effect on the treatment. An additional assumption often mad...
متن کاملA review of instrumental variable estimators for Mendelian randomization
Instrumental variable analysis is an approach for obtaining causal inferences on the effect of an exposure (risk factor) on an outcome from observational data. It has gained in popularity over the past decade with the use of genetic variants as instrumental variables, known as Mendelian randomization. An instrumental variable is associated with the exposure, but not associated with any confound...
متن کاملPractice of Epidemiology Credible Mendelian Randomization Studies: Approaches for Evaluating the Instrumental Variable Assumptions
As with other instrumental variable (IV) analyses, Mendelian randomization (MR) studies rest on strong assumptions. These assumptions are not routinely systematically evaluated in MR applications, although such evaluation could add to the credibility of MR analyses. In this article, the authors present several methods that are useful for evaluating the validity of an MR study. They apply these ...
متن کاملTesting for the Unconfoundedness Assumption Using an Instrumental Assumption
The identification of average causal effects of a treatment in observational studies is typically based either on the unconfoundedness assumption (exogeneity of the treatment) or on the availability of an instrument. When available, instruments may also be used to test for the unconfoundedness assumption. In this paper, we present a set of assumptions on an instrumental variable which allows us...
متن کاملCharacterizing the Instrumental Variable Identifying Assumption as Sample Selection Conditions
Characterizing the Instrumental Variable Identifying Assumption as Sample Selection Conditions We build on Rosenzweig and Wolpin (2000) and Keane (2010) and show that in order to fulfill the Instrumental variable (IV) identifying moment condition, a policy must be designed so that compliers and non-compliers either have the same average error term, or have an error term ratio equal to their rel...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 2020
ISSN: 0002-9262,1476-6256
DOI: 10.1093/aje/kwaa089