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IZA World of Labor - Using instrumental variables to establish causality
Inferring the direction of a causal link and estimating its effect via a Bayesian Mendelian randomization approach - Ioan Gabriel Bucur, Tom Claassen, Tom Heskes, 2020
G-computation and machine learning for estimating the causal effects of binary exposure statuses on binary outcomes | Scientific Reports
Heterogeneity in cognitive disability after a major disaster: A natural experiment study | Science Advances
Linear Quantile Regression and Endogeneity Correction
PDF] Identification of treatment effects in a triangular system of equations | Semantic Scholar
PDF] Identification of treatment effects in a triangular system of equations | Semantic Scholar
Putative causal inference for the relationship between obesity and sex hormones in males: a bidirectional Mendelian randomization study [PeerJ]
PDF) Instrumental Variable Analysis with a Nonlinear Exposure-Outcome Relationship
PDF] Identification of treatment effects in a triangular system of equations | Semantic Scholar
Understanding the Assumptions Underlying Instrumental Variable Analyses: a Brief Review of Falsification Strategies and Related Tools | Current Epidemiology Reports
ivcrc: An instrumental-variables estimator for the correlated random-coefficients model - David Benson, Matthew A. Masten, Alexander Torgovitsky, 2022
PDF) Instrumental Variable Analysis in Epidemiologic Studies: An Overview of the Estimation Methods
Causal pathway from telomere length to occurrence and 28-day mortality of sepsis: an observational and mendelian randomization study | Aging
Heterogeneous Treatment Effects with Instrumental Variables: A Causal Machine Learning Approach | YoungStatS
Bayesian Approach to Zero-Inflated Bivariate Ordered Probit Regression Model, with an Application to Tobacco Use – topic of research paper in Sociology. Download scholarly article PDF and read for free on CyberLeninka
Broadband internet availability and establishments' employment growth in Germany: evidence from instrumental variables estimations | Journal for Labour Market Research | Full Text
Instrumental Variables - an overview | ScienceDirect Topics
Quasi-Experimental Design: Regression Discontinuity Design – Taiwo A. Ahmed
Beyond LATE with a Discrete Instrument | Journal of Political Economy: Vol 125, No 4
Addressing the issue of bias in observational studies: Using instrumental variables and a quasi-randomization trial in an ESME research project | PLOS ONE
Chapter 19 - Instrumental Variables | The Effect
Instruments with Heterogeneous Effects: Bias, Monotonicity, and Localness
Full article: Revisiting regression adjustment in experiments with heterogeneous treatment effects