GitHub topics: ipw
pzivich/zEpid
Epidemiology analysis package
Language: Python - Size: 10.9 MB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 144 - Forks: 32
SaachiK08/PixelPairs_Augenblick-25
Causal Inference in Healthcare: Treatment Effect Analysis
Language: Jupyter Notebook - Size: 401 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
ncn-foreigners/paper-nonprob-qcal
Repo for the paper "Inference for non-probability samples using the calibration approach for quantiles"
Language: HTML - Size: 56.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
melodyyhuang/senseweight
Tools for sensitivity analysis for weighted estimators
Language: R - Size: 10.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0
guhjy/iptw Fork of ehsanx/iptw
This R package calculates various measures of association and helps understand and visualize the link between causal models such as Marginal Structural Models and Standerdized measures.
Language: R - Size: 102 KB - Last synced at: almost 2 years ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0
nathaliemayor/Causal_Econometrics
Causal Econometrics (M.A. course at UNISG, Python code)
Language: Python - Size: 708 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 3
ehsanx/TMLEworkshop
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.
Language: HTML - Size: 21.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 2
