Instrumental variable estimation for compositional treatments [PDF]
Many scientific datasets are compositional in nature. Important biological examples include species abundances in ecology, cell-type compositions derived from single-cell sequencing data, and amplicon abundance data in microbiome research.
Elisabeth Ailer +2 more
doaj +2 more sources
Intubation during in-hospital cardiac arrest: an instrumental variable analysis [PDF]
Introduction: Tracheal intubation is commonly performed during in-hospital cardiac arrest, but the evidence for a survival benefit remains uncertain. Methods: This was an observational study using data from the Get With The Guidelines registry.
Mathias J. Holmberg +2 more
doaj +2 more sources
An introduction to instrumental variables for epidemiologists [PDF]
Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have appeared that connect IV methods to causal and measurement-error models important in epidemiological applications.
Sander Greenland, Greenland Sander
exaly +7 more sources
The Modified Instrumental Variable (MIV) for Endogenous Instrumental Variables
This article introduces an estimator aimed at reducing the inconsistency of instrumental variable estimates when the instrument is not fully exogenous.
Nicolas Ronderos Pulido
doaj +2 more sources
Integrating endogeneity in survey sampling using instrumental-variable calibration estimator [PDF]
The endogeneity problem arises when the auxiliary variables correlate to the error terms. In such cases, appropriate instrumental variables ensure efficient estimation.
Muhammad Nadeem Intizar +5 more
doaj +2 more sources
Hospitalization Due to Fire-Induced Pollution in the Brazilian Legal Amazon from 2005 to 2018
Fire is widely used in the Amazon as a ubiquitous driver of land management and land cover change. Regardless of their purpose, fires release a considerable amount of pollutants into the atmosphere, with severe consequences for human health.
Wesley Augusto Campanharo +3 more
doaj +1 more source
C-reactive protein and temperament: An instrumental variable analysis
Background: Temperament is associated with circulating inflammatory biomarkers, such as C-reactive protein (CRP), which has been associated with various health conditions, including depression.
Ari Clemens +6 more
doaj +1 more source
DEMOGRAPHICS, KNOWLEDGE AND SMOKING: AN INSTRUMENTAL VARIABLE APPROACH
Smoking is one of the main factors that causes various diseases. The objective of the present study is to investigate factors determining smoking behaviour among adults.
Yong Kang Cheah +2 more
doaj +1 more source
Debiased/Double Machine Learning for Instrumental Variable Quantile Regressions
In this study, we investigate the estimation and inference on a low-dimensional causal parameter in the presence of high-dimensional controls in an instrumental variable quantile regression.
Jau-er Chen +2 more
doaj +1 more source
Instrumental variable regression via kernel maximum moment loss
We investigate a simple objective for nonlinear instrumental variable (IV) regression based on a kernelized conditional moment restriction known as a maximum moment restriction (MMR).
Zhang Rui +3 more
doaj +1 more source

