Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine learning based prediction models. This paper introduces the ImageNet ...
Mark J. Brewer, João A. N. Filipe, David A. Elston, Lorna A. Dawson, Robert W. Mayes, Chris Soulsby and Sarah M. Dunn This article introduces a hierarchical model for compositional analysis. Our ...
Background: Variable adherence to assigned conditions is common in randomized clinical trials. Objectives: A generalized modeling framework under longitudinal data structures is proposed for ...
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