Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: inverse-probability-weights

istallworthy/devMSMs

Tools for using marginal structural models (MSMs) to answer causal questions in developmental science.

Language: R - Size: 289 MB - Last synced: 6 days ago - Pushed: 6 days ago - Stars: 3 - Forks: 2

ngreifer/WeightIt

WeightIt: an R package for propensity score weighting

Language: R - Size: 9.63 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 98 - Forks: 12

pzivich/zEpid

Epidemiology analysis package

Language: Python - Size: 10.9 MB - Last synced: 25 days ago - Pushed: about 1 year ago - Stars: 134 - Forks: 33

nhejazi/haldensify

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

Language: R - Size: 5.17 MB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 16 - Forks: 5

andrewheiss/closing-backdoors-dags

Use regression, inverse probability weighting, and matching to close confounding backdoors and find causation in observational data

Size: 452 KB - Last synced: about 1 month ago - Pushed: about 4 years ago - Stars: 11 - Forks: 4

ajnafa/Latent-Bayesian-MSM

Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science

Language: HTML - Size: 20.2 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 17 - Forks: 0

mspreafico/PosViolMSM

Positivity violations in marginal structural survival models with time-dependent confounding: a simulation study on IPTW-estimator performance.

Language: R - Size: 417 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

mspreafico/TTEcausalRDI

Code for assessing the causal effects of chemotherapy Received Dose Intensity (RDI) on survival outcomes in osteosarcoma patients using a Target Trial Emulation approach.

Language: R - Size: 36.1 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 1

nhejazi/medoutcon

:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects

Language: R - Size: 824 KB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 11 - Forks: 4

ShuxinD/causal_birthweight

https://www.sciencedirect.com/science/article/pii/S001393512200305X

Language: R - Size: 267 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

awamaeva/R-package-trajmsm

The R package trajmsm is based on the paper Marginal Structural Models with Latent Class Growth Analysis of Treatment Trajectories: https://doi.org/10.48550/arXiv.2105.12720.

Language: R - Size: 485 KB - Last synced: 11 days ago - Pushed: 3 months ago - Stars: 2 - Forks: 1

ShuxinD/pm-no2-o3-hospitalization-death-ADRD-coxph

air pollution and mortality/readmission in ADRD population with Medicare data

Language: R - Size: 837 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

nhejazi/medshift

:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions

Language: R - Size: 784 KB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 8 - Forks: 3

kkranker/psweight

IPW- and CBPS-type propensity score reweighting, with various extensions (Stata package)

Language: Stata - Size: 250 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 4 - Forks: 2

herdiantrisufriyana/gmethods

An implementation of g-methods

Language: R - Size: 841 KB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 1

QuantLet/Outcome-adaptive-Random-Forest

Non-parametric variable selection and inference via the outcome-adaptive Random Forest (OARF). Uses the IPTW estimator to estimate the ATE while the propensity score is estimated via OARF. This leads to smaller variance and bias. Only variables that are confounders or predictive of the outcome are selected for the propensity score.

Language: R - Size: 139 KB - Last synced: 30 days ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 0

Brian-Lookabaugh/UN-PKOs-Project

Repository for "The Economic Consequences of UN Peacekeeping Operations: Causal Analysis for Conflict Management and Peace Research"

Language: R - Size: 43.6 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

nhejazi/talk_sensitivity_ipw 📦

:speech_balloon: Talk on "Sensitivity Analysis for Inverse Probability Weighting Estimators via the Percentile Bootstrap" (Q. Zhao et al., 2017), for S. Pimentel's "Observational Study Design and Causal Inference" seminar at Berkeley, Spring 2018

Language: TeX - Size: 570 KB - Last synced: about 1 year ago - Pushed: about 6 years ago - Stars: 0 - Forks: 1

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: about 1 year ago - Pushed: over 1 year ago - Stars: 6 - Forks: 2

ngreifer/optweight

R package for estimating balancing weights using optimization

Language: R - Size: 604 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 6 - Forks: 2

nhejazi/talk_txshift

:speech_balloon: Talk on causal inference and variable importance with stochastic interventions under two-phase sampling

Language: TeX - Size: 4.5 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

sunidhit/MLProject

Optimization of KNN and Linear regression algorithms

Language: Jupyter Notebook - Size: 11.7 KB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

Related Keywords
inverse-probability-weights 22 causal-inference 14 machine-learning 6 marginal-structural-models 4 treatment-effects 3 targeted-learning 3 stochastic-interventions 3 tmle 3 g-computation 3 r 3 propensity-scores 3 observational-study 3 mediation-analysis 2 epidemiology 2 g-estimation 2 g-formula 2 propensity-score 2 ipw 2 matching 2 research-project 2 civil-war 1 conflict-resolution 1 panel-data 1 peacekeeping 1 bootstrap 1 sensitivity-analysis 1 machine-learning-algorithms 1 random-forest 1 ate 1 adaptive-learning 1 g-methods 1 stata-package 1 stata-command 1 stata 1 penalized-cbps 1 longitudinal-analysis 1 lasso-regression 1 knn-classification 1 breast-cancer-dataset 1 boston-housing-price-prediction 1 variable-importance 1 censored-data 1 optimization 1 workshop-materials 1 steps 1 statistical-inference 1 robust 1 reproducible-research 1 reproducible 1 medicine 1 implementation 1 double 1 conference-workshop 1 comparative-effectiveness 1 code 1 statistics 1 stan 1 political-science 1 bayesian 1 do-calculus 1 dags 1 nonparametric-regression 1 aipw 1 highly-adaptive-lasso 1 density-estimation 1 conditional-density-estimates 1 data-science 1 targeted-maximum-likelihood 1 risk-ratio 1 risk-difference 1 odds-ratio 1 incidence-rate-ratio 1 epidemiology-analysis 1 pcbps 1 covariates 1 cbps 1 balance 1 medicare-data 1 cox-model 1 trajectory-analysis 1 ma-birth-registry-data 1 r-package 1 causal-machine-learning 1 target-trial-emulation 1 received-dose-intensity 1 marginal-structural-cox-models 1 effect-modification 1 conditional-average-treatment-effects 1 survival 1 simulation-studies 1 positivity-assumption 1