KDiazOrdaz
Biostatistician interested in Causal Inference and Machine learning. Also, uses of Multiple Imputation.
UCLLondon, England
Pinned Repositories
CACE_CEA
Stata and R scripts presenting code for performing Complier-average causal effects estimation of multivariate outcomes. (Three-stage least squares and Bayesian models)
caret-workshop
Applied Predictive Modelling with caret
causal-inference-in-practice-course
ContrastApproximatingLinearModels
simulations and data analysis for CALM
DML-IVg-estimation
G-estimator for the linear IV model with treatment effect heterogeneity, using Super learner for nuisance fits
IntroCML_workshop
The R code used in the Causal Machine learning workshop given at the EuroCIM 2021
kdiazordaz.github.io
my website
lab_09
Ninth laboratory for the Spring 2018 offering of Targeted Learning in Biomedical Big Data
Machine-learning-in-policy-evaluation-new-tools-for-causal-inference
This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new tools for causal inference"
SMCMIC
Code to implement local average treatment effect via Principal Stratification mixture models with multiple imputation estimation
KDiazOrdaz's Repositories
KDiazOrdaz/Machine-learning-in-policy-evaluation-new-tools-for-causal-inference
This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new tools for causal inference"
KDiazOrdaz/IntroCML_workshop
The R code used in the Causal Machine learning workshop given at the EuroCIM 2021
KDiazOrdaz/causal-inference-in-practice-course
KDiazOrdaz/SMCMIC
Code to implement local average treatment effect via Principal Stratification mixture models with multiple imputation estimation
KDiazOrdaz/CACE_CEA
Stata and R scripts presenting code for performing Complier-average causal effects estimation of multivariate outcomes. (Three-stage least squares and Bayesian models)
KDiazOrdaz/caret-workshop
Applied Predictive Modelling with caret
KDiazOrdaz/ContrastApproximatingLinearModels
simulations and data analysis for CALM
KDiazOrdaz/DML-IVg-estimation
G-estimator for the linear IV model with treatment effect heterogeneity, using Super learner for nuisance fits
KDiazOrdaz/kdiazordaz.github.io
my website
KDiazOrdaz/lab_09
Ninth laboratory for the Spring 2018 offering of Targeted Learning in Biomedical Big Data
KDiazOrdaz/PL_mediation
Robust Inference of Mediation Effects in Partially Linear Models
KDiazOrdaz/RSS2024talk_references