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Instrumental variable and colocalization analyses identify endotrophin and HTRA1 as potential therapeutic targets for coronary artery disease. [PDF]
Lee PC +11 more
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Mobile Phones and HIV Testing: Multicountry Instrumental Variable Analysis From Sub-Saharan Africa.
Iacoella F, Tirivayi N.
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Optimal Instrument Selection using Bayesian Model Averaging for Model Implied Instrumental Variable Two Stage Least Squares Estimators. [PDF]
Henry T, Fisher Z, Bollen K.
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Safety and effectiveness of SGLT2 inhibitors in a UK population with type 2 diabetes and aged over 70 years: an instrumental variable approach. [PDF]
Güdemann LM +13 more
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Epidemiology, 2006
To correct for confounding, the method of instrumental variables (IV) has been proposed. Its use in medical literature is still rather limited because of unfamiliarity or inapplicability. By introducing the method in a nontechnical way, we show that IV in a linear model is quite easy to understand and easy to apply once an appropriate instrumental ...
Martens, E.P. +4 more
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To correct for confounding, the method of instrumental variables (IV) has been proposed. Its use in medical literature is still rather limited because of unfamiliarity or inapplicability. By introducing the method in a nontechnical way, we show that IV in a linear model is quite easy to understand and easy to apply once an appropriate instrumental ...
Martens, E.P. +4 more
+6 more sources
Synthetic Instrumental Variables
SSRN Electronic Journal, 2019This paper presents a new method for synthesizing instrumental variables using only the dependent and endogenous explanatory variables of the regression model. We show that a valid instruments can be spanned using the dependent and endogenous variables.
Ratbek Dzhumashev, Tursunalieva, Ainura
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Abstract This chapter covers the instrumental variables research design. This method estimates the causal effects of an intervention by exploiting randomness in the world that influences whether someone is exposed to a phenomenon of interest.
Ian D. Gow, Tongqing Ding
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Ian D. Gow, Tongqing Ding
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1985
Recent advances in establishing the nature and scope of estimators in econometrics have shed more light on the importance of instrumental variables. In this book, the authors argue that such methods may be regarded as a strong organizing principle for a wide variety of estimation and hypothesis testing problems in econometrics and statistics.
Roger J. Bowden, Darrell A. Turkington
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Recent advances in establishing the nature and scope of estimators in econometrics have shed more light on the importance of instrumental variables. In this book, the authors argue that such methods may be regarded as a strong organizing principle for a wide variety of estimation and hypothesis testing problems in econometrics and statistics.
Roger J. Bowden, Darrell A. Turkington
openaire +1 more source

