Medicine & clinical research
Does this treatment cause better health outcomes?
Methods: Propensity score matching, doubly robust ML, DoWhy backdoor
Example: Estimate whether metformin reduces HbA1c adjusting for age, BMI, and baseline severity.
Causal inference use cases
CausalLens includes domain templates, sample data, and recommended methods for each field.
Public policy & economics
Did this law or program cause measurable change?
Methods: Difference-in-differences, instrumental variables, regression discontinuity
Example: Did a minimum wage increase cause employment or income changes in treated regions?
Marketing & uplift modeling
Who responds because of our campaign?
Methods: T-learner, X-learner, causal forest, uplift targeting export
Example: Which customers have the highest incremental conversion from email campaigns?
Science & experiments
Does X cause Y controlling for confounders?
Methods: Linear adjustment, causal discovery (PC, LiNGAM), DoWhy
Example: Does CO₂ exposure cause higher plant growth controlling for light and water?
Socioeconomic & demographics
How do interventions affect different population groups?
Methods: Subgroup heterogeneity, causal forests, DiD
Example: How did education policy affect employment across age and region subgroups?