Research
Explore advanced research notebooks and benchmarks using Causalis.
Data Generation Process RCT
DGP generate_classic_rct_26
Math of gold GDP for Classic RCT scenario. Outcome is conversion. Tree binary confounders with linear effect on outcome
DGP classic_rct_gamma_26
Automated conversion of classic_rct_gamma_26.ipynb
generate_cuped_tweedie_26
Automated conversion of generate_cuped_tweedie_26.ipynb
generate_cuped_binary_26
Automated conversion of generate_cuped_binary.ipynb
Data Generation Process Observational
generate_obs_hte_26_rich()
Automated conversion of generate_obs_hte_26_rich.ipynb
generate_obs_hte_binary_26()
Automated conversion of generate_obs_hte_binary_26.ipynb
generate_multitreatment_gamma_26()
Automated conversion of generate_multitreatment_gamma_26.ipynb
generate_multitreatment_binary_26()
Automated conversion of generate_multitreatment_binary_26.ipynb
Benchmarking
Compare Implementation of DML IRM in Causalis and DML IRM in DoubleML
Automated conversion of doubleml_benchmark.ipynb
Benchmarking: DiffInMeans vs Scipy implementation
Automated conversion of benchmarking_diff_in_means.ipynb
Benchmark MultiTreatmentIRM vs DoubleML Multitreatment (APOS)
Automated conversion of doubleml_multitreatment_benchmark.ipynb
