R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses
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Updated
Jul 10, 2024 - R
R package of useful functions for one-sample Mendelian randomization and instrumental variable analyses
Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)
IV diagnostics package accompanying Lal, Lockhart, Xu, and Zu (2023).
Test for weak IV instruments in R.
Estimation and inference of a directed acyclic graph with unspecified interventions.
R functions for g-estimation of structural nested cumulative failure models using (1) confounding adjustment or (2) instrumental variable analysis
Code/Data/Figure for "Nonparametric Instrumental Variable Estimator for Survival Outcomes"
Code for ForestIV
Graphical Instrumental Variable Estimation and Testing
The context of this repo is sharing the empiric work presented as my MPA thesis on July 2023. The research is title is: "Remittances vs Public Finance Capacity. Impact Assessment in Reducing Income Inequality in Latin America: A Quasi-Experimental Analysis"
Simulations of MR analyses with time-varying exposures using structural mean models
This is an R package I developed to estimate the causal effect of an exposure on an outcome when there's invalid instruments and large proportions of contamination.
Causal effect of DACA on labor market outcomes. Run difference-in-differences models for immigrants near the criteria cutoffs for DACA eligibility and investigate the causal effect of DACA on labor market outcomes of local residents.
Codes for "Evidence Factors from Multiple, Possibly Invalid, Instrumental Variables"
Trabalho 3 de microeconometria
R package implementing nonparametric bounds for the ACE due to Balke and Pearl, JASA, 1997
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