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

This notebook presents the classic rct gamma 26 research workflow and key analysis steps.

generate_cuped_tweedie_26

This notebook presents the generate cuped tweedie 26 research workflow and key analysis steps.

generate_cuped_binary_26

This notebook presents the generate cuped binary research workflow and key analysis steps.

Data Generation Process Observational

generate_obs_hte_26_rich()

This notebook presents the generate obs hte 26 rich research workflow and key analysis steps.

generate_obs_hte_binary_26()

This notebook presents the generate obs hte binary 26 research workflow and key analysis steps.

generate_multitreatment_gamma_26()

This notebook presents the generate multitreatment gamma 26 research workflow and key analysis steps.

generate_multitreatment_binary_26()

This notebook presents the generate multitreatment binary 26 research workflow and key analysis steps.

Benchmarking

DML IRM vs CausalML NearestNeighborMatch

This notebook presents the matching research workflow and key analysis steps.

Compare Implementation of DML IRM in Causalis and DML IRM in DoubleML

This notebook presents the doubleml benchmark research workflow and key analysis steps.

Benchmarking: DiffInMeans vs Scipy implementation

This notebook presents the benchmarking diff in means research workflow and key analysis steps.

Benchmark MultiTreatmentIRM vs DoubleML Multitreatment (APOS)

This notebook presents the doubleml multitreatment benchmark research workflow and key analysis steps.

Comparison of Augmented Synthetic Control Method (ASCM)

This notebook presents the ascm comparison research workflow and key analysis steps.

DML IRM vs Propensity Score Weighting (PSW)

Causal Inference consists of two main parts: Identification Assumptions and Model Specification. SUTVA, Unconfoundedness, Overlap are strong assumptions that mu...

Robustness check

Refutation of DML IRM inference

This notebook presents the refutation flow research workflow and key analysis steps.

Refutation flow for multi-treatment IRM

This notebook presents the refutation flow multi unconfoundedness research workflow and key analysis steps.

ASCM Model Diagnostics

This notebook presents the scm diagnostics research workflow and key analysis steps.

Time series DGP

`generate_scm_gamma_26()`

This notebook presents the generate scm gamma 26 research workflow and key analysis steps.

generate_scm_poisson_26()

This notebook presents the generate scm poisson 26 research workflow and key analysis steps.