Profile Photo

A. H. M. Mahbub Latif

Scientist (part time)

Get in touch

mahbub.latif@bracu.ac.bd

Centre Affiliation
  • Centre Of Excellence For Science Of Implementation And Scale-Up (COE-SISU)
Links

CV

Twitter

https://www.isrt.ac.bd/people/mlatif/

Short Biography

Dr. Mahbub Latif is a Professor of Applied Statistics at the Institute of Statistical Research and Training (ISRT), University of Dhaka, Bangladesh. He is also a Scientist (part-time) at BRAC James P Grant School of Public Health (BRAC JPGSPH), BRAC University. Professor Latif completed his BSc in Statistics from the University of Dhaka, Bangladesh, in 1993 and MSc in Statistics from the University of Dhaka, Bangladesh, in 1995 and the University of British Columbia, Canada in 2001. He received his Ph.D. in Applied Statistics from the University of Goettingen, Germany in 2005. Professor Latif has more than 20 years of experience in research and teaching. His research interest and expertise include designing and analysis of experiments, medical statistics, correlated data analysis, statistical computing, public health, and causal inference. He has been teaching applied statistics at the University of Dhaka, Bangladesh since 1996. He also taught Biostatistics at St. Luke’s International University, Tokyo, Japan from 2016 to 2019 and University of North Carolina at Chapel Hill, USA from July 2013 to December 2013. Professor Latif teaches Biostatistics (MPH 521) in the Master of Public Health (MPH) Programme at BRAC JPGSPH. So far, Professor Latif supervised 29 students for their MS thesis in Applied Statistics at the University of Dhaka. His research students mainly work in the topics of survival analysis and optimal design and analysis of experiments. He has more than 30 research works published in peer-reviewed journals and regularly review manuscripts for statistics and public health journals. He is a member of the American Statistical Association, International Statistical Institute, and International Biometric Society.

Research Interests

Causal inference survival analysis analysis of correlated data child and maternal health and statistics computation

Education

  • PhD (University of Goettingen)
  • MSc (University of British Columbia)
  • BSc (University of Dhaka)

Module(s) taught (in MPH)

  • MPH 521: Biostatistics

Selected publications

  • “Ishida, Y., Takemoto, Y., Kato, M., Latif, M., Ota, E, Morisaki, N., & Itakura, A. (2022). Birth weight reference for Japanese twins and risk factors for infant mortality: A population-based study. PLoS ONE 17(7): e0271440. https://doi.org/10.1371/journal.pone.0271440. ”

  • “Talukder A., Islam M.N., Sarker M., Goswami, I., Siddiqua, R.R., Akter, F., Chowdhury, S., Chowdhury, I.A., Rahman, A., & Latif, M. (2022) Knowledge and practices related to COVID-19 among mothers of under-2 children and adult males: a cross-sectional study in Bangladesh BMJ Open 2022;12:e059091. doi: 10.1136/bmjopen-2021-059091”

  • “Nobuko, F., Hideyuki, H., Shiori, S., Shunichi, T., Latif, M. A. H. M. & Makoto, O. (2019). Effect of Right-Lateral Versus Left-Lateral Tilt Position on Compression of the Inferior Vena Cava in Pregnant Women Determined by Magnetic Resonance Imaging. Anesthesia & Analgesia, 128(6), 1217-1222. doi: 10.1213/ANE.0000000000004166”

  • “Chakraborty, H., Hossain, A. & Latif, M.A.H.M. (2019) A three-state continuous time Markov chain model for HIV disease burden. Journal of Applied Statistics, 46(9), 1671-1688, DOI: 10.1080/02664763.2018.1555573”

  • “Inan, G., Latif, M.A.H.M. & John Preisser, J. (2019) A PRESS statistic for working correlation structure selection in generalized estimating equations. Journal of Applied Statistics, 46(4), 621-637, DOI: 10.1080/02664763.2018.1508560”

Full list of Publications