Theo dõi
Dr Azizur Rahman
Dr Azizur Rahman
Associate Professor in Mathematics and Statistics, Charles Sturt University
Email được xác minh tại csu.edu.au - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic …
MB Reitsma, PJ Kendrick, E Ababneh, C Abbafati, M Abbasi-Kangevari, ...
The Lancet 397 (10292), 2337-2360, 2021
4682021
Determinants of chronic malnutrition among preschool children in Bangladesh
A Rahman, S Chowdhury
Journal of biosocial science 39 (2), 161-173, 2007
2652007
Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020
D Bryazka, MB Reitsma, MG Griswold, KH Abate, C Abbafati, ...
The Lancet 400 (10347), 185-235, 2022
2442022
A comprehensive method for improvement of water quality index (WQI) models for coastal water quality assessment
MG Uddin, S Nash, A Rahman, AI Olbert
Water Research 219, 118532, 2022
1342022
Acute malnutrition in Bangladeshi children: levels and determinants
A Rahman, S Chowdhury, D Hossain
Asia Pacific Journal of Public Health 21 (3), 294-302, 2009
1152009
Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019
HH Kyu, A Vongpradith, SB Sirota, A Novotney, CE Troeger, MC Doxey, ...
The Lancet infectious diseases 22 (11), 1626-1647, 2022
1072022
Jurisdictional, socioeconomic and gender inequalities in child health and development: Analysis of a national census of 5 year olds in Australia
S Brinkman, A Gormez, A Rahman, colleagues
BMJ Open 2 (5 e001075), pp. 1-15, 2012
1002012
Robust machine learning algorithms for predicting coastal water quality index
MG Uddin, S Nash, MTM Diganta, A Rahman, AI Olbert
Journal of Environmental Management 321, 115923, 2022
952022
Performance analysis of the water quality index model for predicting water state using machine learning techniques
MG Uddin, S Nash, A Rahman, AI Olbert
Process Safety and Environmental Protection 169, 808-828, 2023
882023
Small area estimation and microsimulation modeling
A Rahman, A Harding
Chapman and Hall/CRC, 2016
852016
Methodological issues in spatial microsimulation modelling for small area estimation
A Rahman, A Harding, R Tanton, S Liu
International Journal of Microsimulation 3 (2), 3-22, 2010
802010
A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches
MG Uddin, S Nash, A Rahman, AI Olbert
Water Research 229, 119422, 2023
782023
Malware analysis and detection using data mining and machine learning classification
M Chowdhury, A Rahman, R Islam
International conference on applications and techniques in cyber security …, 2018
732018
Prevalence and determinants of chronic malnutrition among under-5 children in Ethiopia
B Megabiaw, A Rahman
Int J Child Health Nutr 2 (3), 230-236, 2013
712013
Significant Risk Factors for Childhood Malnutrition: Evidence from an Asian Developing Country
A Rahman
Science Journal of Public Health 4 (1), 16-27, 2016
652016
Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia
A Rahman, A Harding, R Tanton, S Liu
Computational Statistics & Data Analysis 57 (1), 149-165, 2013
642013
A cross-sectional study of anxiety, stress, perception and mental health towards online learning of school children in India during COVID-19
P Harjule, A Rahman, B Agarwal
Journal of Interdisciplinary Mathematics 24 (2), 411-424, 2021
592021
Assessing optimization techniques for improving water quality model
MG Uddin, S Nash, A Rahman, AI Olbert
Journal of Cleaner Production 385, 135671, 2023
572023
A review of small area estimation problems and methodological developments
A Rahman
562008
Nutritional status of under-5 children in Bangladesh
A Rahman, SC Biswas
South Asian Journal of Population and Health 2 (1), 1-11, 2009
502009
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