14 skills found
pzivich / ZEpidEpidemiology analysis package
joshuaschwab / LtmleLongitudinal Targeted Maximum Likelihood Estimation package
osofr / TmlenetTargeted Maximum Likelihood Estimation for Network Data
migariane / SIM TMLE TutorialTargeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017
ehsanx / TMLEworkshopTargeted 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.
LauraBalzer / HierarchicalTMLER code to generate simulated data and implement the hierarchical TMLEs described in "A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure", Balzer et al. SMMR 2018.
Jarvis-BITS / Midodrine Mimic IvDescriptive & prescriptive analysis of the effects of Vasoconstrictive medication via MIMIC's database using Targeted Maximum Likelihood Estimation for Causal Inference & ML techniques
chizhangucb / TmleCommunityTargeted Maximum Likelihood Estimation for Hierarchical Data
wilsoncai1992 / TMLEbootstrapbootstrap confidence intervals for Targeted Maximum Likelihood Estimators
migariane / EltmleEnsemble Learning Targeted Maximum Likelihood for Stata users
helenecharlotte / Web Appendix TMLE Causal Inference Survival AnalysisWeb appendix to: Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis
blind-contours / CVtreeMLE:deciduous_tree: :dart: Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
jucheng1992 / CtmleCollaborative Targeted Maximum Likelihood Estimation
imbroglio-dc / Concreteconcrete: an R package implementing CONtinuous-time Competing Risks Targeted maximum likelihood Estimation
