Causal Effect Estimation Methods
2014 (English)In: Journal of Statistical and Econometric Methods, ISSN 2241-0376, Vol. 3, no 2, 153-170 p.Article in journal (Refereed) Published
Relationship between two popular modeling frameworks of causalinference from observational data, namely, causal graphical model andpotential outcome causal model is discussed. How some popular causaleﬀect estimators found in applications of the potential outcome causalmodel, such as inverse probability of treatment weighted estimator anddoubly robust estimator can be obtained by using the causal graphicalmodel is shown. We conﬁne to the simple case of binary outcome andtreatment variables with discrete confounders and it is shown how togeneralize results to cases of continuous variables.
Place, publisher, year, edition, pages
Scienpress Ltd , 2014. Vol. 3, no 2, 153-170 p.
Graphical models, potential outcomes, estimators
Probability Theory and Statistics
Research subject Statistics
IdentifiersURN: urn:nbn:se:umu:diva-88883OAI: oai:DiVA.org:umu-88883DiVA: diva2:717840
FunderSwedish Research Council