Mendelian Randomization with Biomarker Associations for Causality with Outcomes
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Updated
Dec 7, 2018 - R
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
CausalVerse: An R toolkit expediting causal research & analysis. Streamlines complex methodologies, empowering users to unveil causal relationships with precision. Your go-to for insightful causality exploration.
Provides some functions for calculating causal effects.
Causal inference between minimum wage and employment using difference in differences
A repo providing a brief introduction to causal modelling
Conducting one-factor analysis of variance and its assumptions (normality and homogeneity of variance) with R if two groups of data show statistically different behavior. Visualizing data with boxplots to understand if the given state of the fly (fed/starved) affects the feeding and resting pattern.
Data and R code for the study "G-computation for causal effect estimation from observational hierarchical data with unmeasured cluster context"
This repository contains the data and analysis code associated with the manuscript: Investigating the causal effect of maternal continuum of care on child’s minimum acceptable diet: A multilevel approach using partially pooled propensity score weighting. PLOS One, 20(10): e0335972
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models
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