Analytic for data-driven decision-making in complex high-dimensional time-to-event data
In the era of big data, analysis of complex and huge data expends time and money, may cause errors and misinterpretations. Consequently, inaccurate and erroneous reasoning could lead to poor inference and decision-making, sometimes irreversible and catastrophic events. On the other hand, proper mana...
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| Online Access: | http://hdl.handle.net/2047/D20195338 |