William A. Mattingly

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Background Many biological disciplines use data visualization alongside computational methods to explore large-scale bio-medical data. Visualization often provides insight into patterns in the data that are not available in the numerical data and statistics [1]. The development of new visua-lization tools requires the use of sophisticated software and(More)
Missing data arise in clinical research datasets for reasons ranging from incomplete electronic health records to incorrect trial data collection. This has an adverse effect on analysis performed with the data, but it can also affect the management of a clinical trial itself. We propose two graphical visualization schemes to aid in managing the completeness(More)
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