Kazeem A. Dauda

This paper introduces Bayesian survival analysis methods with beta process priors for variable selection in high-dimensional data, showing improved performance over existing techniques.

The paper introduces a clustering-based method to model dynamic accumulation processes in disease progression and antimicrobial resistance evolution using hypercubic hidden Markov models.

HyperTraPS-CT infers and predicts accumulation pathways in complex systems with flexible data and model structures, demonstrating its application to cancer and tuberculosis resistance.

The paper examines the relationship between mitochondrial and plastid genome reduction across eukaryotic species, finding a generally positive correlation in gene retention but limited evidence for coevolution of specific gene pairs.

This paper introduces a new Generalized Gamma-Weibull distribution for survival analysis, showing it outperforms existing methods in modeling skewed lifetime data using statistical criteria.