Institute of Statistical Research and Training
Dr. M. Shafiqur Rahman is working as Professor of Applied Statistics at the Institute of Statistical Research and Training, University of Dhaka. He recieved BSc honours and MSc in Statistics from University of Dhaka and then second MSc in Statistics from University of Nottingham and PhD in Medical Statistics from University College London, UK. His research interests mainly include development and applications of statistical methods for analyzing data from public health and medicine and published so far over 30 journal artciles. He has been serving as a co-editor of the Journal of Statistical Research, reviewer of many journals, and an educational ambassador of the American Statistical Association.Read less
|Degree Name||Group/Major Subject||Board/Institute||Country||Passing Year|
|Ph.D.||Medical Statistics||University College London||United Kingdom||2012|
|Masters||Statistics||University of Nottingham||United Kingdom||2008|
|Masters||Statistics||University of Dhaka||Bangladesh||2001|
|Bachelor||Statistics||University of Dhaka||Bangladesh||1999|
|Title||Organization||Location||From Date||To Date|
|No experience is found|
|Subject||Description||Research Interest (Goal, Target Indicator)|
|Public Health||development and applications of statistical methods for analyzing healthcare data in public health and medical research and making evidence based decision|
|Monotone Likelihood||Dealing with separation and monotone likelihood, bias reduction|
|Causal Inference||Performance of propensity score model for rare exposure/treatment, bias reduction|
|Prediction model||Formulating and validating prediction model, dynamic prediction of disease progression|
|Level of Study||Title||Supervisor||Co-Supervisor(s)||Name of Student(s)||Area of Research||Current Completion|
|No project/research supervision is found|
|Subject||Project Name||Source of Fund||From Date||To Date||Collaboration|
|Applied Statistics||Exploring regional variations in prevalence, pattern and health seeking behavior of patients with non-communicable diseases in Bangladesh: A Bayesian spatial analysis of national survey data||Centennial Research Grant||27-09-2021|
|Applied Statistics||Disease Mapping in Bangladesh: A case study with hypertension and diabetes||UGC||12-11-2014||30-09-2015|
|No invited talk is found|
|SL||Collaboration & Membership Name||Type||Membership Year||Expire Year|
|1||International Society for Clinical Biostatistics||2008||present|
|2||International Statistical Association||2014||present|
|3||International Biometric Society||2018||present|
|4||Bangladesh Statistical Association||2004||Life Time|
Nusrat N and Rahman MS : Dealing with separation or near-to-separation in the model for multinomial response with application to childhood health seeking behavior data from a complex survey, Journal of Applied Statistics Taylor & Francis , 2021 .
Adhikary A. and Rahman MS : Firth's penalized method in Cox proportional hazard framework for developing predictive models for sparse or heavily censored survival data, Journal of Statistical Computation and Simulation , vol.91 , no.3 Taylor & Francis , pp.445-463 , 2021 .
MN Mia, Z Islam, MR Chowdhury, A Razzaque, B Chin and MS Rahman : Socio-demographic, health and institutional determinants of caesarean section among the poorest segment of the urban population: Evidence form selected slums in Dhaka, Bangladesh, SSM- Population Health , 2019 .
PK Roy, HRK Khan, T Akter and MS Rahman : Exploring socio-demographic-and geographical-variations in prevalence of diabetes and hypertension in Bangladesh: Bayesian spatial analysis of national health survey data, Spatial and Spatio-Temporal Epidemiology , vol.29 , pp.71-82 , 2019 .
MN Mia, MZ Islam, MR Chowdhury, A Razzaque, B Chin and MS Rahman : Socio-demographic, health and institutional determinants of caesarean section among the poorest segment of the urban population: Evidence form selected slums in Dhaka, Bangladesh, SSM-Population Health , vol.8 , no.100415 , 2019 .
MS Rahman, M Mushfiquee, MS Masud MS and T Howlader : Association between malnutrition and anemia in under-five children and women of reproductive age: Evidence from Bangladesh Demographic and Health Survey 2011, PLoS one , 2019 .
MS Rahman and AS Rumana : A model-based concordance-type index for evaluating the added predictive ability of novel risk factors and markers in the logistic regression models, Journal of Applied Statistics , vol.46 , no.2 , pp.2145-2163 , 2019 .
MH Mondol and MS Rahman : Bias‐reduced and separation‐proof GEE with small or sparse longitudinal binary data, Statistics in Medicine , vol.38 , no.14 , pp.2544-2560 , 2019 .
T Akter, EB Sarker and MS Rahman : A tutorial on GEE with applications to diabetes and hypertension data from a complex survey, Journal of Biomedical Analytics , vol.1 , no.37-50 , pp.1 , 2018 .
RA Collis, MS Rahman, O Watkinson, OP Guttmann, C O'Mahony and PM Elliott : Outcomes following the surgical management of left ventricular outflow tract obstruction; A systematic review and meta-analysis, International journal of cardiology , vol.265 , pp.62-70 , 2018 .
MN Mia, MS Rahman and PK Roy : Sociodemographic and geographical inequalities in under- and overnutrition among children and mothers in Bangladesh: a spatial modelling approach to a nationally representative, Public Health nutrition , vol.21 , no.13 , pp.2471-2481 , 2018 .
MJ Bhuyan, MA Islam and MS Rahman : A bivariate Bernoulli model for analyzing malnutrition data, Health Services Outcomes Research Methodology , vol.18 , no.2 , pp.109-127 , 2018 .
MN Mia, SMA Hanifi, MS Rahman, A Sultana, S Hoque and A Bhuiya : Prevalence, pattern and sociodemographic differentials in smokeless tobacco consumption in Bangladesh: evidence from a population-based cross-sectional study in Chakaria, BMJ Open , vol.7 , no.1 , 2017 .
MH Mondol and MS Rahman : A comparison of internal validation methods for validating predictive models for binary data with rare events, Journal of Statistical Research , vol.51 , no.2 , pp.131-144 , 2017 .
MS Rahman, G Ambler, B Choodari-Oskooei and RZ Omar : Review and evaluation of performance measures for survival prediction models in external validation settings, BMC Medical Research Methodology , vol.17 , pp.60 , 2017 .
MS Rahman, SM Hanifi, F Khatun, M Iqbal, S Rasheed, T Ahmed, S Haque, T Sharmin, NZ Khan, SS Mahmood and A Bhuiya : Knowledge, attitudes and intention regarding mHealth in generation Y: evidence from a population based cross sectional study in Chakaria, Bangladesh, BMJ Open , vol.7 , no.11 , 2017 .
MS Rahman and M Sultana : Performance of Firth-and logF-type penalized methods in risk prediction for small or sparse binary data, BMC medical research methodology , vol.17 , no.1 , pp.33 , 2017 .
F Khatun, AE Heywood, SMA Hanifi, MS Rahman, PK Ray, ST Liaw and A Bhuiya : Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh, BMC health services research , vol.17 , no.1 , 2017 .
MS Rahman, T Howlader, MS Masud and ML Rahman : Association of low-birth weight with malnutrition in children under five years in Bangladesh: do mother’s education, socio-economic status, and birth interval matter?, PLOS One , vol.11 , no.6 , 2016 .
V Patel, C O'Mahony, D Hyghes, MS Rahman, C Coats, E Murphy, R Lachmann, A Mehta and PM Elliott : Clinical and genetic predictors of major cardiac events in patients with Anderson–Fabry Disease, Heart , vol.101 , no.12 , 2015 .
Oliver P Guttmann, M Shafiqur Rahman, Constantinos O'Mahony, Aris Anastasakis, Perry M Elliott, MS Rahman, C O'Mahony, A Anastasakis and PM Elliott : Atrial fibrillation and thromboembolism in patients with hypertrophic cardiomyopathy: systematic review, Heart , vol.100 , no.6 , 2014 .
Fatema Khatun mail, SMA. Hanifi, Mohammad Iqbal, Sabrina Rasheed, M. Shafiqur Rahman, Tanvir Ahmed, Shahidul Hoque, Tamanna Sharmin, Nazib Uz Zaman Khan, Shehrin Shaila Mahmood, David H. Peters, SMA Hanifi, M Iqbal, S Rasheed, MS Rahman, T Ahmed, S Haque, T Sharmin, NZ Khan, SS Mahmood, DH Peters and A Bhuiya : Prospects of mHealth Services in Bangladesh: Recent Evidence from Chakaria, PLOS ONE , 2014 .
LR Lopes, MS Rahman and PM Elliott : A systematic review and meta-analysis of genotype–phenotype associations in patients with hypertrophic cardiomyopathy caused by sarcomeric protein mutations, Heart , vol.99 , no.24 , 2013 .
Recieved Dean Award by the faculty of Science for research excellence.
|International||Educational Ambassador||2015||United States||
Selected as an educational ambassador of the American Statistical Association for enhancing statistics education globally.
Achieved Conference Award for Scientists from countries underdeveloped in clinical biostatistics for attending the conference organized by the International Society for Clinical Biostatistics