| Machine Learning Algorithms for understanding the determinants of under-five Mortality RK Saroj, PK Yadav, R Singh, ON Chilyabanyama BioData mining 15 (1), 20, 2022 | 25 | 2022 |
| Pesticides exposure through environment and risk of pre-term birth: A study from Agra city M Anand, L Singh, P Agarwal, R Saroj, A Taneja Drug and chemical toxicology 42 (5), 471-477, 2019 | 25 | 2019 |
| Performance of machine learning classifiers in classifying stunting among under-five children in Zambia ON Chilyabanyama, R Chilengi, M Simuyandi, CC Chisenga, M Chirwa, ... Children 9 (7), 1082, 2022 | 23 | 2022 |
| Parametric survival analysis using R: Illustration with lung cancer data M Kumar, PK Sonker, A Saroj, A Jain, A Bhattacharjee, RK Saroj Cancer Reports 3 (4), e1210, 2020 | 19 | 2020 |
| Survival parametric models to estimate the factors of under-five child mortality RK Saroj, KN Murthy, M Kumar, R Singh, A Kumar Journal of Health Research and Reviews (In Developing Countries) 6 (2), 82-88, 2019 | 10 | 2019 |
| Environmental factors prediction in preterm birth using comparison between logistic regression and decision tree methods: an exploratory analysis RK Saroj, M Anand Social Sciences & Humanities Open 4 (1), 100216, 2021 | 9 | 2021 |
| Survival analysis for under-five child mortality in Uttar Pradesh RK Saroj, KN Murthy, M Kumar Int J Res Anal Rev 59, 782-9, 2018 | 9 | 2018 |
| Prevalence and determinants of adverse pregnancy outcomes among women in India: a secondary data analysis KK Patel, RK Saroj, M Kumar Indian Journal of Community Medicine 46 (3), 434-437, 2021 | 6 | 2021 |
| Nonparametric statistical test approaches in genetics data RK Saroj, KN Murthy, M Kumar International Journal for Computational Biology (IJCB) 5 (1), 77-87, 2016 | 4 | 2016 |
| Bayesian competing risk analysis: An application to nasopharyngeal carcinoma patients data RK Saroj, KN Murthy, M Kumar, A Bhattacharjee, KK Patel Computational and Systems Oncology 1 (1), e1006, 2021 | 2 | 2021 |
| Case-control study of STI patients and its associated risk factors RK Saroj, KH Murthy, M Kumar, A Kumar Glob J Med Public Health 5 (5), 1-8, 2016 | 2 | 2016 |
| Piecewise hazard model for under-five child mortality RK Saroj BLDE University Journal of Health Sciences 5 (1), 40-45, 2020 | 1 | 2020 |
| Dichlorodiphenyltrichloroethane and hexachlorocyclohexane exposure through environment and risk of preterm birth: Indian scenario M Anand, L Singh, R Saroj, A Taneja Toxicology Letters, S185, 2016 | 1 | 2016 |
| Investigation of an Acute Gastrointestinal Illness Outbreak Linked to Drinking Water in a Higher Educational Institute in East Sikkim, India KG Dolma, M Das, SS Saravanabhavan, R Khati, G Chowdhury, JL Bhutia, ... Cureus 16 (7), 2024 | | 2024 |
| Prediction and Classification Machine Learning Models in Diabetic Studies RK Saroj, K Yadav Socio-Scientific Interaction in Diabetes and Cancer and Its Management, 147, 2023 | | 2023 |
| Predictive Modelling of Under-Five Mortality Determinants Using Machine Learning Techniques RK Saroj, PK Yadav, V Visi | | 2023 |
| Development and validation of a novel scale for antiretroviral therapy readiness among pregnant women in urban Zambia with newly diagnosed HIV infection M Mubiana-Mbewe, S Bosomprah, RK Saroj, J Kadota, A Koyuncu, ... AIDS Research and Therapy 20 (1), 21, 2023 | | 2023 |
| Ordinal logistic model for finding the risk factors of HIV testing in injecting drug users RK Saroj, KN Murthy, A Kumar | | 2016 |
| Statistical approach for finding the determinants of maternal health services in Uttar Pradesh RK Saroj, A Kumar, M Kumar | | |
| Perception Of AIDS Patient’s Attitudes Towards Their Clinicians: Factor Analysis Approach RK Saroj, A Kumar, M Kumar | | |
