Justine B. Nasejje

A comparison of the conditional inference survival forest model to random survival forests based on a simulation study as well as on two applications with time-to-event data

Justine B. Nasejje, Henry Mwambi, Keertan Dheda et al. · BMC Medical Research Methodology · 2017 · 74 citations · Full text

Understanding the determinants of under-five child mortality in Uganda including the estimation of unobserved household and community effects using both frequentist and Bayesian survival analysis approaches

Justine B. Nasejje, Henry Mwambi, Thomas Achia · BMC Public Health · 2015 · 58 citations · Full text

Application of random survival forests in understanding the determinants of under-five child mortality in Uganda in the presence of covariates that satisfy the proportional and non-proportional hazards assumption

Justine B. Nasejje, Henry Mwambi · BMC Research Notes · 2017 · 41 citations · Full text

Use of a deep learning and random forest approach to track changes in the predictive nature of socioeconomic drivers of under-5 mortality rates in sub-Saharan Africa

Justine B. Nasejje, Rendani Mbuvha, Henry Mwambi · BMJ Open · 2022 · 15 citations · Full text

Breast cancer prediction based on gene expression data using interpretable machine learning techniques

Gabriel Kallah-Dagadu, Mohanad Mohammed, Justine B. Nasejje et al. · Scientific Reports · 2025 · 11 citations · Full text