A1 Journal article (refereed)
Surrogate outcomes and transportability (2019)


Tikka, S., & Karvanen, J. (2019). Surrogate outcomes and transportability. International Journal of Approximate Reasoning, 108. https://doi.org/10.1016/j.ijar.2019.02.007


JYU authors or editors


Publication details

All authors or editors: Tikka, Santtu; Karvanen, Juha

Journal or series: International Journal of Approximate Reasoning

ISSN: 0888-613X

eISSN: 1873-4731

Publication year: 2019

Volume: 108

Issue number: 0

Publisher: Elsevier

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1016/j.ijar.2019.02.007

Publication open access: Other way freely accessible online

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/63333

Web address where publication is available: https://arxiv.org/abs/1806.07172


Abstract

Identification of causal effects is one of the most fundamental tasks of causal inference. We consider an identifiability problem where some experimental and observational data are available but neither data alone is sufficient for the identification of the causal effect of interest. Instead of the outcome of interest, surrogate outcomes are measured in the experiments. This problem is a generalization of identifiability using surrogate experiments [1] and we label it as surrogate outcome identifiability. We show that the concept of transportability [2] provides a sufficient criteria for determining surrogate outcome identifiability for a large class of queries.


Keywords: causality; inference; network theory; algorithms; experiment

Free keywords: do-calculus; graph; identifiability; mediator


Contributing organizations


Related projects


Ministry reporting: Yes

Reporting Year: 2019

JUFO rating: 2


Last updated on 2021-09-08 at 09:59