Inférence statistique causale et ses applications à la génétique25 juillet au 19 août 2016Programme |
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Le lundi 25 juillet 2016 |
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09:00 - 09:30
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Inscription et café croissants
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Salle(s) de réunion : M-415 |
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09:30 - 10:20
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Frederick Eberhardt
(Caltech) Constraint-based methods for causal discovery | Résumé
Diapos / Slides |
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10:20 - 10:50
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Peter Spirtes
(Carnegie Mellon University) Identifying reliable and useful sub-networks from the output of causal search algorithms | Résumé
Diapos / Slides |
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10:50 - 11:20
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Pause-café
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11:20 - 11:50
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Elias Bareinboim
(Purdue University) Causal inference and the data-fusion problem | Résumé |
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11:50 - 12:20
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Steffen Lauritzen
(University of Copenhagen) Total positivity and Markov structures | Résumé
Diapos / Slides |
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12:20 - 13:45
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Pause-déjeuner
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13:45 - 14:15
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Shohei Shimizu
(Osaka University) A non-Gaussian approach for causal structure learning in the presence of hidden common causes | Résumé
Diapos / Slides |
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14:15 - 14:45
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Tom Claassen
(Radboud University Nijmegen) A fast and efficient approach to exploit Mendelian randomization to find causal regulatory relationships among genes | Résumé |
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14:45 - 15:15
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Jin Tian
(Iowa State University) Bayesian approach to causal structure learning | Résumé
Diapos / Slides |
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15:15 - 15:40
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Pause-café
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15:40
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Discussion
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Le mardi 26 juillet 2016 |
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09:00 - 09:30
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Café croissants
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Salle(s) de réunion : M-415 |
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09:30 - 10:20
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John Marioni
(EMBL-EBI) Single-cell biology - computational challenges and opportunities | Résumé |
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10:20 - 10:50
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Karen Sachs
(Stanford University) Causal learning in signaling networks | Résumé |
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10:50 - 11:20
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Pause-café
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11:20 - 11:50
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Kerstin Meyer
(CRUK Cambridge Institute) Network approaches to understanding genome-wide association studies in breast cancer | Résumé
Diapos / Slides |
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11:50 - 12:20
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Lawrence McCandless
(Simon Fraser University) Unmeasured confounding, large datasets, and the role of Bayesian inference | Résumé |
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12:20 - 14:00
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Pause-déjeuner
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14:00 - 14:30
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Garvesh Raskutti
(WID) Moralization, overdispersion and interventions: Learning large-scale DAG models | Résumé |
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14:30 - 15:00
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Sunduz Keles
(University of Wisconsin Madison) iFunMed: Integrative Functional Mediation analysis of GWAS and eQTL with data-driven prior information | Résumé |
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15:00 - 15:30
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Hyunseung Kang
(Stanford University) Confidence interval with possibly invalid instruments even after controlling for many confounders | Résumé |
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15:30
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Session d'affiches
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Salle(s) Hall d’honneur
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Le mercredi 27 juillet 2016 |
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09:00 - 09:30
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Café croissants
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Salle(s) de réunion : M-415 |
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09:30 - 10:20
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Oliver Stegle
(European Molecular Biology Laboratory) Using deep molecular phenotypes to uncover genetic mechanisms | Résumé |
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10:20 - 10:50
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Sisi Ma
(New York University) Applications of causal discovery methods in health sciences | Résumé
Diapos / Slides |
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10:50 - 11:20
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Pause-café
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11:20 - 11:50
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Simon Gravel
(McGill University) When is selection effective? | Résumé
Diapos / Slides |
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11:50 - 12:20
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Daniel Marbach
(Université de Lausanne) Mapping tissue-specific circuits to reveal pathways disrupted in complex diseases | Résumé
Diapos / Slides |
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12:20 - 14:00
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Pause-déjeuner
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14:00 - 14:30
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Luis Barreiro
(Université de Montréal) How social status causally changes the immune system: experimental evidence from rhesus macaques | Résumé |
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14:30 - 15:00
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Alan Hubbard
(University of California at Berkeley) Targeted learning for high-dimensional variable importance | Résumé
Diapos / Slides |
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15:00 - 15:30
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Pause-café
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15:30
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Open Problems
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Le jeudi 28 juillet 2016 |
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09:00 - 09:30
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Café croissants
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Salle(s) de réunion : M-415 |
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09:30 - 10:20
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Vanessa Didelez
(University of Bremen) Recent challenges for Mendelian randomisation analyses | Résumé
Diapos / Slides |
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10:20 - 10:50
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Dylan Small
(The Wharton School, University of Pennsylvania) Discovering effect modification in observational studies | Résumé
Diapos / Slides |
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10:50 - 11:20
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Pause-café
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11:20 - 11:50
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Sonja Swanson
(Erasmus Medical Centre) Mendelian randomization: Can we see the forest for the IVs? | Résumé
Diapos / Slides |
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11:50 - 12:20
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Po-Ling Loh
(University of Wisconsin-Madison) High-dimensional learning of linear causal networks via inverse covariance estimation | Résumé
Diapos / Slides |
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12:20 - 14:00
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Pause-déjeuner
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14:00 - 14:30
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Olli Saarela
(University of Toronto) A doubly robust estimator for indirect standardization | Résumé |
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14:30 - 15:00
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Celia Greenwood
(Lady Davis Institute for Medical Research) Projected and constrained Mendelian randomization as a robust instrumental variable method for causal inference in high dimensional settings | Résumé
Diapos / Slides |
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15:00 - 15:30
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Pause-café
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15:30
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Discussion
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Le vendredi 29 juillet 2016 |
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09:00 - 09:30
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Café croissants
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Salle(s) de réunion : M-415 |
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09:30 - 10:20
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James Robins
(Harvard School of Public Health) An interventional approach to mediation analysis | Résumé |
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10:20 - 10:50
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Lauréat de la compétition "Défi inférence causale"
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10:50 - 11:20
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Geneviève Lefebvre
(Université du Québec à Montréal) A Bayesian finite mixture of bivariate regressions model for causal mediation analyses | Résumé |
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11:20 - 11:50
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Pause-café
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11:50 - 12:20
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Michael Eichler
(Maastricht University) Causal inference from multivariate time series: Principles and problems | Résumé |
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12:20 - 12:50
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Samantha Kleinberg
(Stevens Institute of Technology) Causal inference with uncertain data | Résumé |
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12:50
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Fin de l'atelier
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Mise à jour: Le jeudi 4 août 2016 11:05