Bayesian Survival Analysis with PyMC: A Biostatistics Guide
Learn how to perform Bayesian Survival Analysis using PyMC for biostatistics and clinical data science. Includes code for Cox and Weibull models.
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Using a Machine Learning-Based Predictive Model for COVID-19
Introduction to the COVID-19 Predictor In the wake of the pandemic, numerous tools have emerged to help assess the likelihood of COVID-19 infection. One such tool is the COVID-19 predictor, a machine learning-based predictive model designed to analyze various symptoms and demographic information. This application aims to provide users with the probability of COVID-19 positivity…
