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Statistics for Studies of Human Welfare
Authors:Nanny Wermuth
Institution:Department of Mathematical Statistics, Chalmers/Gothenburg University, Sweden E-mail:
Abstract:Developments in the recent past have substantially increased our ability to measure, compute, and communicate. We take the view that a corresponding improved understanding of processes in the life sciences will come about only through more intensive studies of properties of statistical methods and algorithms and transparent, open source computing environments.
Keywords:Causality  Graphical Markov models  Life sciences  Open source computing  Randomized intervention studies
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