Molpage Training


Causal Inference: State-of-the-Art	MolPAGE

Course Material

Philip Dawid	Opening Session
David Cox	Causality: some introductory comments
Steffen Lauritzen	Causal interpretation of chain graphs
Sander Greenland	Is causal inference anything more than predictive inference for intervention alternatives?
Don Rubin	The road to clear causal inference in practice: conceptualizing assignment mechanisms and predicting missing potential outcomes
James Robins	A bold vison of artificial intelligence and philosophy: finding causal effects without background knowledge or statistical independencie
Carlo Berzuini	Causal inference in genetic epidemiology
Chris Holmes	Searching for causal variants in genetic and genomic epidemiology
Arvid Sjolander	A principal stratification approach to assess the differences in prognosis between cancers caused by hormone replacement therapy and by other factors


Constantine Frangakis	Addressing design effects in instrumental variables models using principal stratification
Graham Dunn	Evaluation of potential mediators and surrogate outcomes in randomised trials of complex interventions
Nanny Wermuth	On intervertions, replication and confounding
Andrew Pickles	Trajectories in human development and attribution of cause
Ilya Shpitser	Dormant independence for causal discovery
Vanessa Didelez	Instrumental variables methods, mendelian randomisation and interpretation of causal parameters
Els Goetghebeur	A comparison of instrumental variable estimators for the causal effect of an exposure on a dichotomous outcome
Thomas Richardson	The Markov structure resulting from DAGs with latent variables under pseudo-interventions
Paul Rosenbaum	Heterogeneity and causality
Philip Dawid	Beware of the DAG!	Abstract
Peter Spirtes	Inference of dynamical equations from equilibrium states	Abstract
Elja Arjas (Chairman) Odd Aalen David Clayton Richard Emsley Antonio Forcina Arvid Sjolander	Panel discussion


Roland Ramsahai	Supplementary variables for causal estimation
Miguel Hernán	How to estimate the effects of hypothetical interventions, if we only had the data
Krista Fischer	Assessing the effect of blinding in a trial with open and blind arms
Ian White	When is causal inference useful in clinical trials?
Damien Fennell	Reflections on Causality and Causal Inference
Carlo Berzuini Luisa Bernardinelli	Closing session

Elja Arjas (Chairman) Odd Aalen David Clayton Richard Emsley Antonio Forcina Arvid Sjolander

Carlo Berzuini Luisa Bernardinelli

Elja Arjas (Chairman)
Odd Aalen
David Clayton
Richard Emsley
Antonio Forcina
Arvid Sjolander

Carlo Berzuini
Luisa Bernardinelli