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Search results for propensity scores
propensity-scores
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13 search results found
Causallift
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310
CausalLift: Python package for causality-based Uplift Modeling in real-world business
Weightit
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89
WeightIt: an R package for propensity score weighting
Psa
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71
Propensity Score Analysis with R
Cobalt
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65
Covariate Balance Tables and Plots - An R package for assessing covariate balance
Stremr
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31
Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data
Haldensify
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11
📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
Psaboot
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11
Bootstrapping for Propensity Score Analysis
Tmleworkshop
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6
Targeted maximum likelihood estimation (TMLE) enables the integration of machine learning approaches in comparative effectiveness studies. It is a doubly robust method, making use of both the outcome model and propensity score model to generate an unbiased estimate as long as at least one of the models is correctly specified.
Case Based Reasoning
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6
Case Based Reasoning
Fastdr
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6
R package for fast and easy doubly robust estimation of treatments effects
Rollmatch
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5
Rolling Entry Matching R Package
Psmatching
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5
do the green drivers also drive longer? --- causal identification using the propensity score approach
Optweight
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5
R package for estimating balancing weights using optimization
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Propensity Scores Tmle (3)
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1-13 of 13 search results
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