Metrics to evaluate heterogeneous treatment effect predictions
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Updated
May 14, 2024 - R
Metrics to evaluate heterogeneous treatment effect predictions
Matching Methods for Time-Varying Observational Studies, in R
Rolling Entry Matching R Package
An R Package and Shiny App for generating matched stimuli for factiorial-design experiments.
Modular package for generation of sets of ranges representing the null hypothesis. These can take the form of bootstrapped ranges (bootRanges), or set of control ranges that are matched across one or more covariates (matchRanges).
Repository for "The Economic Consequences of UN Peacekeeping Operations: Causal Analysis for Conflict Management and Peace Research"
Méthodologie qui a pour objectif d'estimer l'effet causal d'un traitement à partir de plusieurs modèles de matching.
My assignments and R projects for the CS112 course. Topics covered include Predictive and Causal Inference, Genetic and P-score Matching, Synthetic Control.
Bespoke algorithm for tackling one-sided matching problem where we have preferences to consider.
Propensity Score based Matching via Distribution Learning
blopmatch: Matching Estimator based on a Bilevel Optimization Problem
Comparison of treatment effect in Randomized Control Trial (RCT) and Propensity Score Matching methods, conducted on Large-Scale Dataset by 'Criteo'.
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