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Causal Inference: State-of-the-Art	MolPAGE

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Monday – 16 March 2009


10.30:12.00	Registration
12.00:12.15	Opening Session	Philip Dawid
12.15:13.00	Causality: some introductory comments	David Cox
13.00:14.00	Lunch
14.00:14.35	Causal interpretation of chain graphs	Steffen Lauritzen
14.35:15.10	Is causal inference anything more than predictive inference for intervention alternatives?	Sander Greenland
15.10:15.45	The road to clear causal inference in practice: conceptualizing assignment mechanisms and predicting missing potential outcomes	Don Rubin
15.45:16.00	Tea break
16.00:16.35	Dormant independence for causal discovery	Ilya Shpitser
16.35:17.10	Causal inference in genetic epidemiology	Carlo Berzuini
17.10:17.45	Searching for causal variants in genetic and genomic epidemiology	Chris Holmes
17.45:18.20	A principal stratification approach to assess the differences in prognosis between cancers caused by hormone replacement therapy and by other factors	Arvid Sjolander
18.45:19:45	Reception at Doubletree by Hilton Cambridge

Tuesday – 17 March 2009


9.00:09.35	Addressing design effects in instrumental variables models using principal stratification	Constantine Frangakis
09.35:10.10	Evaluation of potential mediators and surrogate outcomes in randomised trials of complex interventions	Graham Dunn
10.10:10.45	On intervertions, replication and confounding	Nanny Wermuth
10.45:11.05	Tea break
11.05:11.40	Trajectories in human development and attribution of cause	Andrew Pickles
11.40:12.15	A bold vison of artificial intelligence and philosophy: finding causal effects without background knowledge or statistical independencie	James Robins
12.15:13.15	Lunch
13.15:13.50	Instrumental variables methods, mendelian randomisation and interpretation of causal parameters	Vanessa Didelez
13.50:14.25	A comparison of instrumental variable estimators for the causal effect of an exposure on a dichotomous outcome	Els Goetghebeur
14.25:15.00	The Markov structure resulting from DAGs with latent variables under pseudo-interventions	Thomas Richardson
15.00:15.35	Heterogeneity and causality	Paul Rosenbaum
15.35:15.55	Tea break
15.55:16.30	Beware of the DAG!	Philip Dawid
16.30:17.05	Inference of dynamical equations from equilibrium states	Peter Spirtes
17.05:18.15	Panel discussion	Elja Arjas (Chairman) Odd Aalen David Clayton Richard Emsley Antonio Forcina Arvid Sjolander
20.00	Social Dinner at Doubletree by Hilton Cambridge

Wednesday – 18 March 2009


09.00:09.35	Supplementary variables for causal estimation	Roland Ramsahai
09.35:10.10	How to estimate the effects of hypothetical interventions, if we only had the data	Miguel Hernán
10.10:10.45	Assessing the effect of blinding in a trial with open and blind arms	Krista Fischer
10.45:11.05	Tea break
11.05:11.40	When is causal inference useful in clinical trials?	Ian White
11.40:12.15	Reflections on Causality and Causal Inference	Damien Fennell
12.15:12.30	Closing session	Carlo Berzuini Luisa Bernardinelli