Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival
Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival
As data-rich medical datasets are becoming routinely collected, there is a growing demand for regression methodology that facilitates variable selection over a large number of predictors. Bayesian variable selection algorithms offer an attractive solution, whereby a sparsity inducing prior allows inclusion of sets of predictors simultaneously, leading to adjusted effect …