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Projects in Awesome Lists tagged with inverse-probability-weights
A curated list of projects in awesome lists tagged with inverse-probability-weights .
https://github.com/ngreifer/weightit
WeightIt: an R package for propensity score weighting
causal-inference inverse-probability-weights observational-study propensity-scores r
Last synced: 30 Dec 2024
https://github.com/ngreifer/WeightIt
WeightIt: an R package for propensity score weighting
causal-inference inverse-probability-weights observational-study propensity-scores r
Last synced: 11 Nov 2024
https://github.com/nhejazi/haldensify
:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
causal-inference conditional-density-estimates density-estimation highly-adaptive-lasso inverse-probability-weights machine-learning nonparametric-regression propensity-score
Last synced: 16 Dec 2024
https://github.com/andrewheiss/closing-backdoors-dags
Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data
causal-inference dags do-calculus inverse-probability-weights matching
Last synced: 21 Dec 2024
https://github.com/nhejazi/medoutcon
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
causal-inference causal-machine-learning inverse-probability-weights machine-learning mediation-analysis r r-package stochastic-interventions targeted-learning treatment-effects
Last synced: 16 Dec 2024
https://github.com/nhejazi/medshift
:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
causal-inference inverse-probability-weights machine-learning mediation-analysis stochastic-interventions targeted-learning treatment-effects
Last synced: 16 Dec 2024
https://github.com/ngreifer/optweight
R package for estimating balancing weights using optimization
causal-inference inverse-probability-weights observational-study optimization propensity-scores
Last synced: 28 Oct 2024
https://github.com/nhejazi/talk_txshift
:speech_balloon: Talk on causal inference and variable importance with stochastic interventions under two-phase sampling
causal-inference censored-data inverse-probability-weights machine-learning marginal-structural-models stochastic-interventions targeted-learning variable-importance
Last synced: 16 Dec 2024