Statistical methods are now a primary tools for the collection and analysis of data to inform the education, policy, and social sciences. From questionnaire development to the selection of probability samples to the design of social experiments, statisticians at Carnegie Mellon collaborate in the collection of social science data. Faculty and students regularly work with others to develop new methods for analyzing these data and they apply up-to-date methods for drawing inferences from diverse social science data sources ranging from large scale sample surveys to social networks, to educational experiments. A number of statistics graduate students work directly in joint programs bringing statistics to bear on problems in education and public policy.
There are currently no projects for this area of research.
Cauchemez B, Extramiana F, Cauchemez S, Cosson S, Zouzou H, Meddane M, et al. High-flow perfusion of sheaths for prevention of thromboembolic complications during complex catheter ablation in the left atrium. J Cardiovasc Electrophysiol. 2004 Mar;15(3):276–83.
NCRN News Volume 1 issue 1
NCRN News Volume 1 issue 2
Cécile Viboud, PhD, Research Fellow
Epidemiology and Information Sciences, Université Pierre et Marie Curie, Paris; Fogarty International Center, National Institute of Health, Bethesda; WHO Collaborating Center for Electronic Diseases Surveillance (WHO CCEDS), Paris
Pierre-Yves Boëlle, PhD, Lecturer
Epidemiology and Information Sciences, Université Pierre et Marie Curie, Paris; Assistance Publique des Hopitaux de Paris, Paris
Simon Cauchemez, MPH, Research Fellow and Audrey Lavenu, MPH, Research Fellow
Epidemiology and Information Sciences, Université Pierre et Marie Curie, Paris.
Alain-Jacques Valleron, DRSC, Director
Epidemiology and Information Sciences, Université Pierre et Marie Curie, Paris; Assistance Publique des Hopitaux de Paris, Paris
Antoine Flahault, MD, PHD, Professor
Epidemiology and Information Sciences, Université Pierre et Marie Curie, WHO CCEDS, Paris Assistance Publique des Hopitaux de Paris, Paris.
Fabrice Carrat, MD, PhD, Lecturer
Epidemiology and Information Sciences, Université Pierre et Marie Curie, Paris; Assistance Publique des Hopitaux de Paris, Paris
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