propensity-score
There are 27 repositories under propensity-score topic.
Minyus/causallift
CausalLift: Python package for causality-based Uplift Modeling in real-world business
nhejazi/haldensify
:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
jbryer/PSAboot
Bootstrapping for Propensity Score Analysis
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.
ccubc/PSmatching
do the green drivers also drive longer? --- causal identification using the propensity score approach
ThorstenDoherr/ultimatch
counterfactual matching
kaz-yos/multinomial-ps-trimming
Multinomial Propensity Score Trimming (Am J Epidemiol 2018)
ehsanx/SARGC-TIMethods
TI Methods Speaker Series in collaboration with the Student and Recent Graduate Committee (SARGC) of the Statistical Society of Canada.
jbryer/PSAgraphics
Propensity Score Analysis Graphics
databricks-industry-solutions/psm
How to use the Machine Learning Runtime and MLflow on top of a health Delta Lake to predict patient disease
giogioshvili/CausalEffectsUsingPropensityScoreMatching
Comparison of treatment effect in Randomized Control Trial (RCT) and Propensity Score Matching methods, conducted on Large-Scale Dataset by 'Criteo'.
Koukyosyumei/ML_from_Scratch
implement machine learning models from scratch
ygeunkim/propensityml
R package for propensity score weighting using machine learning methods
AlbertoCalore/MARMoT
This R package contains a function to apply MARMoT balancing technique, a function for computing the Deloof's approximation of the average rank (and also a parallelized version) and a function to compute the Absolute Standardized Bias.
diloloan72/Voting-in-Argentina
Replication of the paper "Voting Made Safe and Easy: The impact of e-voting on Citizen Perceptions," by Alvarez et. al and its extension using genetic matching.
heli0001/ps_pstra_outcome
These are R implementations under lasso related priors for clustering structure with propensity score, principal stratification and outcomes in Bayesian inference
KwonNayeon/urban-parks-childrens-happiness
A thesis project exploring the causal impact of urban parks on children's happiness, with data, results, and code.
ravichoudharyds/Causal_Inference
Causal Inference - Does Critic Ratings affect Movie's Revenue
RayDebashree/POM-PS
POM-PS tests for genetic associations of secondary traits from case-control GWAS.
shelby-tisdale/nhanes
Code and presentation for project utilizing causal inference to determine the impacts of high physical activity on mortality using data from the National Health and Nutrition Examination Survey (NHANES). Results of hackathon at University of Minnesota Equitable Data Science in Adolescent Development REU.
smn74/CIM_COVID-19
R code for the analyses conducted in Friedrich, S & Friede, T (2020). Causal inference methods for small non-randomized studies: Methods and an application in COVID-19. Submitted to Contemporary Clinical Trials.
syedmfuad/causal_ml
Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.
the-Zian/ihdp_pscore_analysis
Propensity score assignment
bgonzalezbustamante/quant-methods-elites
Quantitative Methods for Studying Elites: Demonstration for R
ehsanx/PS-survey
Propensity scores in complex surveys
eriliawu/mdg-spending
my master's thesis project that studies the impact of UN MDG on US nonprofit industry spending
ygeunkim/psweighting-ml
Causal inference project