I. Ngaruye

发表

Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia

N. Iqbal, R. Chilengi, Kalongo Hamusonde, 2022, Children.

Comparing growth velocity of HIV exposed and non-exposed infants: An observational study of infants enrolled in a randomized control trial in Zambia

N. Iqbal, R. Chilengi, S. Bosomprah, 2021, PloS one.

Use of machine learning techniques to identify HIV predictors for screening in sub-Saharan Africa

P. McSharry, E. Musabanganji, Innocent Ngaruye, 2020, BMC Medical Research Methodology.

Prediction of Tea Production in Rwanda Using Data Mining Techniques

C. Umutoni, I. Ngaruye, 2023, Agricultural and Food Science Journal of Ghana.

Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda

Jean Pierre Ngendahayo, J. P. Muhirwa, I. Mbalawata, 2023, IJID Regions.

Asymptotic results for expected probability of misclassifications in linear discriminant analysis with repeated measurements

Innocent Ngaruye, Edward Kanuti Ngailo, I. Ngaruye, 2022, Communications in Statistics - Theory and Methods.

Small Area Estimation for Multivariate Repeated Measures Data

Innocent Ngaruye, I. Ngaruye, 2014 .

Small-area estimation with missing data using a multivariate linear random effects model

D. Rosen, M. Singull, I. Ngaruye, 2018, Japanese Journal of Statistics and Data Science.

Small-area estimation with missing data using a multivariate linear random effects model

M. Singull, I. Ngaruye, Dietrich von Rosen, 2018, Japanese Journal of Statistics and Data Science.

Small area estimation under a multivariate linear model for incomplete repeated measures data

D. Rosen, M. Singull, I. Ngaruye, 2017 .

Contributions to Small Area Estimation : Using Random Effects Growth Curve Model

Innocent Ngaruye, I. Ngaruye, 2017 .

Small area estimation under a multivariate linear model for repeated measures data

D. Rosen, Martin Singull, J. Nzabanita, 2017 .

Early detection of students at risk of poor performance in Rwanda higher education using machine learning techniques

D. Ndanguza, J. Nzabanita, C. Ruranga, 2023, International Journal of Information Technology.

Use of unsupervised machine learning to characterise HIV predictors in sub-Saharan Africa

P. McSharry, E. Musabanganji, Charles K. Mutai, 2023, BMC Infectious Diseases.

Statistical Models for Estimating Linear Growth Velocity: A Systematic Review

N. Iqbal, R. Chilengi, S. Bosomprah, 2021, International Journal of Nutrition, Pharmacology, Neurological Diseases.