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1. Accuracy-Comparison-Classic-and-Bayesian-logistic-regression-model Accuracy-Comparison-Classic-and-Bayesian-logistic-regression-model Public

   Accuracy comparison between a Bayesian and a classic logistic regression model in Python to predict ICU admission in pediatric candidemia patients. Identified key clinical risk factors through odds…

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2. Cox-Proportional-Hazards-Model-for-Prognostic-Factor-Identification-in-Pediatric-Candidemia Cox-Proportional-Hazards-Model-for-Prognostic-Factor-Identification-in-Pediatric-Candidemia Public

   Applied a Cox Proportional Hazards model in Python to identify prognostic factors associated with survival in pediatric candidemia patients. Estimated hazard ratios, evaluated clinical covariates, …

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3. Survival-Analysis-of-Cancer-Patients-Using-Cox-Proportional-Hazards-Regression Survival-Analysis-of-Cancer-Patients-Using-Cox-Proportional-Hazards-Regression Public

   Applied a Cox Proportional Hazards model in Python to identify prognostic factors associated with cancer survival. The findings were used as prior knowledge for subsequent semiparametric and Bayesi…

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4. Bayesian-Semiparametric-Survival-Models-for-Cancer-Prognostic-Factor-Analysis Bayesian-Semiparametric-Survival-Models-for-Cancer-Prognostic-Factor-Analysis Public

   Developed and compared three generalized Bayesian survival models for cancer prognosis. Using DIC, the generalized Cox PH model achieved the best posterior fit and identified key prognostic factors…

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5. skillsnetwork skillsnetwork Public

   Forked from claimed-framework/claimed

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6. once_cell once_cell Public

   Forked from matklad/once_cell

   Rust library for single assignment cells and lazy statics without macros

   Rust