activity
20182026
most citedIdentifying Causal Effects with the R Package causaleffect

41 citations · 112 across the 21 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.AI2020★ 9 cited

Identifying Causal Effects via Context-specific Independence Relations

Santtu Tikka, Antti Hyttinen, Juha Karvanen

Causal effect identification considers whether an interventional probability distribution can be uniquely determined from a passively observed distribution in a given causal struct…

stat.ME2020

Simulation Framework for Realistic Large-scale Individual-level Data Generation with an Application in the Health Domain

Santtu Tikka, Jussi Hakanen, Mirka Saarela +1

We propose a framework for realistic data generation and simulation of complex systems and demonstrate its capabilities in the health domain. The main use cases of the framework ar…

stat.AP2020★ 6 cited

Do-search -- a tool for causal inference and study design with multiple data sources

Juha Karvanen, Santtu Tikka, Antti Hyttinen

Epidemiological evidence is based on multiple data sources including clinical trials, cohort studies, surveys, registries and expert opinions. Merging information from different so…

stat.ME2020★ 7 cited

Estimation of causal effects with small data in the presence of trapdoor variables

Jouni Helske, Santtu Tikka, Juha Karvanen

We consider the problem of estimating causal effects of interventions from observational data when well-known back-door and front-door adjustments are not applicable. We show that…

hep-ph2020★ 2 cited

The gallium anomaly reassessed using a Bayesian approach

Joel Kostensalo, Santtu Tikka, Jouni Suhonen

The solar-neutrino detectors GALLEX and SAGE were calibrated by electron-neutrino flux from the Ar and Cr calibration sources. A deficit in the measured neutrino flux…