InTowards Data SciencebyLukasz SzubelakCausal Inference with Python: A Guide to Propensity Score MatchingAn introduction to estimating treatment effects in non-randomized settings using practical examples and Python codeJul 23
David SanotonaThe Beauty of Propensity Score Matching: Look Alike Analysis in Python using psmpyHave you ever struggled to measure the impact of intervention because there is no proper control group available? or it is unethical in…Jun 2
InInsights PartnersbyMohd KashifPropensity ModellingSupercharge Your Marketing ROI with Cutting-Edge Propensity Modeling TechniquesMay 12May 12
InTowards Data SciencebyAdrienne Klinepsmpy: Propensity Score Matching in Python!Performing propensity score matching in a python environment using a newly available library: psmpy (graphical plotting features…Mar 21, 202217Mar 21, 202217
Daria SukharevaVariance Reduction with Propensity ScoresPropensity scores can be used to increase the precision of the treatment effect estimate in randomised controlled settingsApr 41Apr 41
InTowards Data SciencebyLukasz SzubelakCausal Inference with Python: A Guide to Propensity Score MatchingAn introduction to estimating treatment effects in non-randomized settings using practical examples and Python codeJul 23
David SanotonaThe Beauty of Propensity Score Matching: Look Alike Analysis in Python using psmpyHave you ever struggled to measure the impact of intervention because there is no proper control group available? or it is unethical in…Jun 2
InInsights PartnersbyMohd KashifPropensity ModellingSupercharge Your Marketing ROI with Cutting-Edge Propensity Modeling TechniquesMay 12
InTowards Data SciencebyAdrienne Klinepsmpy: Propensity Score Matching in Python!Performing propensity score matching in a python environment using a newly available library: psmpy (graphical plotting features…Mar 21, 202217
Daria SukharevaVariance Reduction with Propensity ScoresPropensity scores can be used to increase the precision of the treatment effect estimate in randomised controlled settingsApr 41
InGrabNGoInfobyAmy @GrabNGoInfoTop 10 Causal Inference Interview Questions and AnswersCausal inference terms and models for data scientist and machine learning engineer interviewsMar 13, 20232
lei duanData Science in Gaming- Practical Applications of Propensity Score Matching (PSM)Causal inference methods like uplift modeling, propensity score matching (PSM), and Difference in Differences (DID) are often discussed…Nov 16, 20231
InTowards Data SciencebyShaw TalebiCausal Effects via Propensity ScoresHow to estimate effects from observational dataSep 6, 20224