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We use a data approach to back up our predictions with real insight and artificial intelligence. Our results speak for themselves. We use deep neural networks to learn how likely a team is to win, by making sense of large and diverse data sources, God mode for your bettingData is at the forefront of our prediction strategy.
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Statistics in Medicine aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods such as medical statistics, biostatistics, clinical trials and epidemiology. You can find out more about the scope of Statistics in Medicine by reading the Aims and Scope. See the latest papers from Statistics in Medicine as soon as they publish online by RSS Feed.
Learn more about OnlineOpen Statistics in Medicine App News Featured ArticleExposure-wide epidemiology: revisiting Bradford Hill This article was the basis on the annual Bradford Hill lecture at the London School of Hygiene and Tropical Medicine that was delivered by John Ioannidis in London on July 7, 2015.
Statistics in Medicine Aims and Scope Statistics in Medicine aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods such as medical statistics, biostatistics, clinical trials and epidemiology.
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Retrieved 1 May 2014. The Science of Conjecture: Evidence and Probability Before Pascal. Baltimore: The Johns Hopkins University Press. Retrieved 16 May 2012. Bayesian Data Analysis (2nd ed. Retrieved 27 March 2014. Archived from the original on 2014-05-02. Retrieved 10 December 2014.
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