Recent clinical trials in oncology have used increasingly complex methodologies, such as causal inference methods for intercurrent events, external control, and covariate adjustment, posing challenges ...

DAGs are diagrams used to represent causal questions. They serve as a visual aid to summarize assumptions about causal and non-causal associations between a given exposure and an outcome. DAGs are ...

Peter Spirtes, Jiji Zhang, A Uniformly Consistent Estimator of Causal Effects under the k-Triangle-Faithfulness Assumption, Statistical Science, Vol. 29, No. 4, Special Issue on Semiparametrics and ...

Michael S. Haigh, David A. Bessler, Causality and Price Discovery: An Application of Directed Acyclic Graphs, The Journal of Business, Vol. 77, No. 4 (October 2004 ...

"MANM is based on Directed Acyclic Graphs (DAGs), which can identify a multi-nodal causal structure. MANM can estimate every possible causal direction in complex feature sets, with no missing or ...

On Thursday the 21st of November 2019, M.Sc. Topi Talvitie will defend his doctoral thesis on Counting and Sampling Directed Acyclic Graphs for Learning Bayesian Networks. The thesis is a part of ...