Sine-G family of distributions in Bayesian survival modeling: A baseline hazard approach for proportional hazard regression with application to right-censored oncology datasets using R and STAN
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DOI: 10.1371/journal.pone.0307410
Abstract: In medical research and clinical practice, Bayesian survival modeling is a powerful technique for assessing time-to-event data. It allows for the incorporation of prior knowledge about the model’s parameters and provides a more comprehensive understanding… read more here.
Keywords: oncology; bayesian survival; survival modeling; sine family ... See more keywords