Follow
Justine B Nasejje
Justine B Nasejje
University of the Witwatersrand
Verified email at wits.ac.za
Title
Cited by
Cited by
Year
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
JB Nasejje, H Mwambi, K Dheda, M Lesosky
BMC medical research methodology 17, 1-17, 2017
822017
Understanding the determinants of under-five child mortality in Uganda including the estimation of unobserved household and community effects using both frequentist and …
JB Nasejje, HG Mwambi, TNO Achia
BMC public health 15, 1-12, 2015
662015
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 …
JB Nasejje, H Mwambi
BMC research notes 10, 1-18, 2017
392017
Application of survival analysis methods to study under-five child mortality in Uganda.
J Nasejje
62013
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
JB Nasejje, R Mbuvha, H Mwambi
BMJ open 12 (2), e049786, 2022
42022
Statistical Methods Used in Survival Analysis
J Nasejje
Master’s thesis, African Institute for Mathematical Sciences (AIMS), 2012
22012
Statistical approaches to identifying significant differences in predictive performance between machine learning and classical statistical models for survival data
JB Nasejje, A Whata, C Chimedza
Plos one 17 (12), e0279435, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–7