CausalInference / GFORMULA-SASLinks
The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.
☆35Updated 10 months ago
Alternatives and similar repositories for GFORMULA-SAS
Users that are interested in GFORMULA-SAS are comparing it to the libraries listed below
Sorting:
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆77Updated 2 months ago
- CRAN Task View: Causal Inference☆17Updated last year
- ☆41Updated 3 years ago
- Propensity Score Analysis with R☆89Updated 4 months ago
- Health economic simulation modeling and decision analysis☆71Updated last month
- WeightIt: an R package for propensity score weighting☆115Updated 3 weeks ago
- List of released health economics R packages by other people.☆18Updated 5 years ago
- Causal Inference: What If. R and Stata code for Exercises☆90Updated last month
- R package for conditional survival analysis☆20Updated 2 years ago
- Bayesian methods in health economics in Stan (Florence course)☆10Updated 6 years ago
- D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using t…☆46Updated 2 years ago
- The R Markdown and Interactive Dashboards Workshp at rstudio::conf 2020☆65Updated 5 years ago
- Code of the Microsimulation tutorial☆66Updated 6 years ago
- A tutorial on interrupted time series regression for the evaluation of public health interventions☆25Updated 3 months ago
- R package for microsimulation☆41Updated 2 months ago
- Suite of sensitivity analysis tools for OLS☆94Updated 8 months ago
- Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control☆50Updated 3 weeks ago
- List of health economics R packages.☆79Updated 4 months ago
- An R package for running cost-effectiveness models in R. Forked from the heemod package.☆18Updated last month
- 🎯🎓 Generalized Targeted Learning Framework☆40Updated last month
- Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the …☆48Updated last week
- Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…☆51Updated 2 years ago
- An R package for conducting sensitivity analyses for unmeasured confounders☆41Updated last year
- ☆20Updated 6 years ago
- Publicly available code from my publications☆15Updated last week
- Piece-wise exponential Additive Mixed Modeling tools☆49Updated last month
- Processing data from the Early Childhood Longitudinal Study (ECLS)☆32Updated last year
- Instructors' Guide to accompany "R for Data Science"☆51Updated 6 years ago
- Scroll down this page for installation instructions, or see this poster:☆24Updated 3 months ago
- Code for the R package "EValue" and GUI website.☆16Updated 2 weeks ago