2 papers
stat.ME2017
Models for the Propensity Score that Contemplate the Positivity Assumption and their Application to Missing Data and Causality
Julieta Molina, Mariela Sued, Marina Valdora
Generalized linear models are often assumed to fit propensity scores, which are used to compute inverse probability weighted (IPW) estimators. In order to derive the asymptotic pro…
math.ST2013
Some considerations on the back door theorem and conditional randomization
Julieta Molina, Lucio Pantazis, Mariela Sued
In this work we propose a different surgical modified model for the construction of counterfactual variables under non parametric structural equation models. This approach allows t…