GitHub topics: propensity-score

Repositories

jlmassey1991/Diagnosis-Cost-Propensity

Measuring the effect of diagnostic delays of fungal pathogens on healthcare costs. Linked Marketscan ICD-10 data on symptom and diagnosis dates. Quantile binning probability weighting was used to account for the causal relationship of time. Categorical regressions were conducted for a zero-inflated exposure.

Language: R - Size: 8.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

giogioshvili/Causal_Effects_Using_Propensity_Score_Matching

Comparison of treatment effect in Randomized Control Trial (RCT) and Propensity Score Matching methods, conducted on Large-Scale Dataset by 'Criteo'.

Language: R - Size: 750 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

ThorstenDoherr/ultimatch

counterfactual matching

Language: Stata - Size: 87.9 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 5 - Forks: 3

KwonNayeon/urban-parks-childrens-happiness

Grad thesis on urban parks’ impact on children’s happiness – data, results, and code

Language: R - Size: 8.95 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Minyus/causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

Language: Python - Size: 5.8 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 348 - Forks: 43

nhejazi/haldensify

:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

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jlmassey1991/Weighted-Survival-Analysis

Conducted a inverse probability weighted survival analysis in State Veteran Home facilities which investigated the hazard of being infected by COVID among varying vaccination doses and types. Involved complex data linkages to person-level and facility-level data and creating a nested control group of those who did not receive the bivalent booster.

Language: R - Size: 333 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

raos-projects/causal-inference-workshop-2024

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.

Language: Stata - Size: 120 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

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.

Language: R - Size: 144 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.

Language: HTML - Size: 38.1 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

jbryer/PSAgraphics

Propensity Score Analysis Graphics

Language: R - Size: 11.6 MB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

kaz-yos/multinomial-ps-trimming

Multinomial Propensity Score Trimming (Am J Epidemiol 2018)

Language: R - Size: 3.35 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0

jbryer/PSAboot

Bootstrapping for Propensity Score Analysis

Language: R - Size: 20.3 MB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 3

ehsanx/PS-survey

Propensity scores in complex surveys

Language: JavaScript - Size: 4.29 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

syedmfuad/causal_ml

Comparing effectiveness of the most common causal machine learning methods across various treatment effect, model complexities, data dimensions and sample sizes.

Language: R - Size: 515 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

databricks-industry-solutions/psm

How to use the Machine Learning Runtime and MLflow on top of a health Delta Lake to predict patient disease

Language: Python - Size: 60.5 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 2

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.

Language: R - Size: 327 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

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