kdpsingh / covid19_ml_educationLinks
This repository contain a dataset describing the urgency of admission among COVID-19 patients, intended for use in a predictive modeling or supervised machine learning course.
☆10Updated 5 years ago
Alternatives and similar repositories for covid19_ml_education
Users that are interested in covid19_ml_education are comparing it to the libraries listed below
Sorting:
- R package for fitting joint models to time-to-event and longitudinal data☆18Updated 11 months ago
- Doubly-Robust and Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards or Odds Assumptions☆11Updated 5 months ago
- ☆27Updated last year
- Wrangling survival data☆21Updated 6 years ago
- Supplementary Item Response Theory Models☆23Updated 2 weeks ago
- Automated machine learning in mlr3☆27Updated 3 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Updated 3 years ago
- Targeted Learning for Survival Analysis☆23Updated 2 years ago
- Utility Theory for Dummies: An R Tutorial☆19Updated 5 years ago
- Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests☆20Updated 2 years ago
- Tutorials on Stan for Bayesian causal inference☆19Updated 6 months ago
- Longitudinal Targeted Maximum Likelihood Estimation package☆27Updated 2 years ago
- "Data Visualization: charts, maps and interactive graphics" (the making of)☆28Updated 3 years ago
- Causal machine learning pipeline using tlverse/sl3☆13Updated this week
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).☆47Updated 5 years ago
- 🎯🎓 Generalized Targeted Learning Framework☆41Updated 6 months ago
- Bayesian Inference of Complex Panel Data☆35Updated 5 months ago
- The simMixedDAG package enables simulation of "real life" datasets from DAGs☆13Updated 6 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- R package for estimating and visualizing multilevel propensity score models.☆16Updated last month
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- <- Structural Equation Modeling from a broader context.☆31Updated 6 years ago
- ☆10Updated 3 years ago
- missCompare R package - intuitive missing data imputation framework☆39Updated 5 years ago
- Code accompanying my ICPSR summer program course on Applied Bayesian Modeling.☆44Updated 8 years ago
- R package for fitting joint models to time-to-event data and multivariate longitudinal data☆32Updated 10 months ago
- Sample size for external validation of a logistic regression based prediction model☆12Updated 4 years ago
- ☆21Updated 11 months ago