How to Analyze Cancer Progression in COVID-19 Pandemic?

Atanu Bhattacharjee; Gajendra K. Vishwakarma; Souvik Banerjee; Sharvari Shukla

doi:10.20944/preprints202005.0288.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 16 May 2020 / Approved: 17 May 2020 / Online: 17 May 2020 (08:50:22 CEST)

The constant news about the corona virus is scary. It is not possible to separate treatment for Cancer due to COVID-19. An effective treatment comparison strategy is needed. We need to have a handy tool to understand cancer progression in this unprecedented scenario. Linking different events of cancer progression is the need of the hour. It is a methodological challenge. We provide the solutions to overcome the issue with interval between two consecutive events in motivating head and neck cancer (HNC) data.

COVID-19; Accelerated Failure Time; Proportional Hazard Model; Bayesian; Auto-Regression

Computer Science and Mathematics, Probability and Statistics

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How to Analyze Cancer Progression in COVID-19 Pandemic?

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