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|Title:||Current and evolving methods to visualize biological data in cancer research|
|Authors:||Chia, Puey Ling;Gedye, Craig;Boutros, Paul C;Wheatley-Price, Paul;John, Thomas|
|Citation:||Journal of the National Cancer institute 2016; 108(8): djw031|
|Abstract:||Although the measurements of clinical outcomes for cancer treatments have become diverse and complex, there remains a need for clear, easily interpreted representations of patients' experiences. With oncology trials increasingly reporting non-time-to-event outcomes, data visualization has evolved to incorporate parameters such as responses to therapy, duration and degree of response, and novel representations of underlying tumor biology. We review both commonly used and newly developed methods to display outcomes in oncology, with a focus on those that have evolved to represent complex datasets.|
|Subjects:||Clinical Trials as Topic|
|Appears in Collections:||Journal articles|
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