Topic: propensity-score Goto Github
Some thing interesting about propensity-score
Some thing interesting about propensity-score
propensity-score,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.
User: albertocalore
propensity-score,Quantitative Methods for Studying Elites: Demonstration for R
User: bgonzalezbustamante
Home Page: https://doi.org/10.5281/zenodo.6098061
propensity-score,do the green drivers also drive longer? --- causal identification using the propensity score approach
User: ccubc
propensity-score,How to use the Machine Learning Runtime and MLflow on top of a health Delta Lake to predict patient disease
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/blog/2020/10/20/detecting-at-risk-patients-with-real-world-data.html
propensity-score,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.
User: diloloan72
propensity-score,Propensity scores in complex surveys
User: ehsanx
Home Page: https://ehsanx.github.io/PS-survey/
propensity-score,TI Methods Speaker Series in collaboration with the Student and Recent Graduate Committee (SARGC) of the Statistical Society of Canada.
User: ehsanx
Home Page: https://ehsanx.github.io/SARGC-TIMethods/
propensity-score,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.
User: ehsanx
Home Page: https://ehsanx.github.io/TMLEworkshop/
propensity-score,my master's thesis project that studies the impact of UN MDG on US nonprofit industry spending
User: eriliawu
propensity-score,Comparison of treatment effect in Randomized Control Trial (RCT) and Propensity Score Matching methods, conducted on Large-Scale Dataset by 'Criteo'.
User: giogioshvili
propensity-score,These are R implementations under lasso related priors for clustering structure with propensity score, principal stratification and outcomes in Bayesian inference
User: heli0001
propensity-score,Bootstrapping for Propensity Score Analysis
User: jbryer
Home Page: https://jbryer.github.io/PSAboot/
propensity-score,Propensity Score Analysis Graphics
User: jbryer
Home Page: https://jbryer.github.io/PSAgraphics/
propensity-score,Multinomial Propensity Score Trimming (Am J Epidemiol 2018)
User: kaz-yos
Home Page: https://www.ncbi.nlm.nih.gov/pubmed/30517602
propensity-score,implement machine learning models from scratch
User: koukyosyumei
propensity-score,A thesis project exploring the causal impact of urban parks on children's happiness, with data, results, and code.
User: kwonnayeon
propensity-score,CausalLift: Python package for causality-based Uplift Modeling in real-world business
User: minyus
Home Page: https://causallift.readthedocs.io/
propensity-score,:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
User: nhejazi
Home Page: https://codex.nimahejazi.org/haldensify
propensity-score,Lecture slides, video recordings, and coding exercises from the 2024 Northwestern University Causal Inference Workshop. This repository is not affiliated with Northwestern University or the workshop.
User: raos-projects
Home Page: https://www.law.northwestern.edu/research-faculty/events/conferences/causalinference/
propensity-score,POM-PS tests for genetic associations of secondary traits from case-control GWAS.
User: raydebashree
propensity-score,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.
User: shelby-tisdale
propensity-score,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.
User: smn74
propensity-score,Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.
User: syedmfuad
propensity-score,Propensity score assignment
User: the-zian
propensity-score,counterfactual matching
User: thorstendoherr
propensity-score,R package for propensity score weighting using machine learning methods
User: ygeunkim
propensity-score,Causal inference project
User: ygeunkim
Home Page: https://ygeunkim.github.io/project/causal_project/
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