M. Shafiqur Rahman

M. Shafiqur Rahman
University of Dhaka · ISRT

PhD

About

50
Publications
15,933
Reads
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1,377
Citations
Citations since 2016
33 Research Items
1166 Citations
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2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
2016201720182019202020212022050100150200250
Introduction
M. Shafiqur Rahman is a professor of applied statistics at the Institute of Statistical Research and Training, University of Dhaka. His research primarily focuses on development and applications of statistical methods for healthcare research.
Additional affiliations
June 2017 - September 2017
University of Dhaka
Position
  • Professor
April 2004 - April 2017
University of Dhaka
Position
  • Professor

Publications

Publications (50)
Article
The potential performance of bio-marker in classifying diseased from healthy population may be affected by baseline covariates (X) that are associated with both the bio-marker (Y) and the disease status (D). Some existing approaches can be able to adjust for the effect of a single covariate at a time. However, several potential covariates can be av...
Article
Full-text available
The massive influx of Rohingya refugees in Cox's Bazar district of Bangladesh has created a severe humanitarian crisis, which has been exacerbated by the COVID–19 pandemic. The research focused on the most vulnerable groups (MVGs) of Rohingya and adjacent host communities, such as pregnant and/or lactating women, elderly people (64+ years), persons...
Article
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Objective One of the primary reasons for hesitancy in taking COVID-19 vaccines is the fear of side effects. This study primarily aimed to inspect the potential side effects of the COVID-19 vaccines circulated in Bangladesh. Design and Settings The study was based on a cross-sectional anonymous online survey conducted in December 2021 across Banglad...
Preprint
Full-text available
Introduction: One of the primary reasons for hesitancy in taking COVID-19 vaccines is the fear of side effects. This study primarily aims to inspect the potential side effects of the COVID-19 vaccines circulated in Bangladesh. Methods: The study was a cross-sectional anonymous online survey conducted across Bangladesh. Data were collected from Dece...
Article
Full-text available
Background Separation or monotone likelihood may exist in fitting process of the accelerated failure time (AFT) model using maximum likelihood approach when sample size is small and/or rate of censoring is high (rare event) or there is at least one strong covariate in the model, resulting in infinite estimates of at least one regression coefficient...
Research
Full-text available
BRAC James P Grant School of Public Health (JPGSPH), BRAC University conducted a participatory action research project in partnership with the Centre for Peace and Justice (CPJ), BRAC University from August 2020 to July 2021 among Rohingya and host communities in Cox’s Bazar Bangladesh with an aim to provide critical evidence to influence policies...
Research
Full-text available
This brief is a part of the Research Brief series published by the BRAC JPGSPH and presents research findings around existing knowledge, attitude, and practices regarding Covid-19 and its impact on the Host community, focusing on the Most Vulnerable Groups.
Research
Full-text available
This brief is a part of the Research Brief series published by the BRAC JPGSPH and presents research findings around existing knowledge, attitude, and practices regarding Covid-19 and its impact on the Rohingya community, focusing on the Most Vulnerable Groups.
Article
Separation or monotone likelihood can be observed in fitting process of both Poisson or generalized Poisson (GP) regression, particularly in case of small and/or sparse count data, using maximum likelihood estimation (MLE) when one or more regression coefficients diverge to infinity. The study investigates the consequence of separation in the MLE b...
Preprint
Full-text available
Background One of the primary reasons for hesitancy in taking COVID-19 vaccines is the fear of side effects. This study primarily aims to inspect the potential side effects of the COVID-19 vaccines circulated in Bangladesh. Methods The study was a cross-sectional anonymous online survey conducted across Bangladesh. Data were collected from Decembe...
Article
This paper explored the use of Firth's penalized method in the Cox PH framework, which was originally proposed for solving the problem of separation, for developing prediction model for sparse or heavily censored survival data. An extensive simulation study, based on both breast cancer data and simulated data, were conducted to evaluate the predict...
Article
Full-text available
Concordance statistic (C-statistic), which is equivalent to the area under a receiver operating characteristic curve (AUC), is frequently used to quantify the discriminatory power (the ability of the model to distinguish low and high risk patient) of a risk prediction model developed in the logistic regression framework. Several methods for estimat...
Article
Full-text available
Background: Bangladesh is one of the most anemia prone countries in South Asia. Children of age under five years and women of reproductive age are particularly vulnerable in this region. Although several studies have investigated the risk factors of anemia, only few have explored its association with malnutrition, despite its high prevalence in th...
Article
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Caesarean sections (CS) is the most common lifesaving surgeries for obstructed labour and other emergency obstetrical conditions. The WHO had recommended ideal rate for CS to be between 5% and 15%. The rate higher than 15% indicates overused other than lifesaving. Bangladesh has experienced a dramatic increase in CS delivery from 4% in 2004 to 23%...
Article
Bangladesh has been experiencing an epidemiological transition from communicable diseases to non-communicable disease (NCDs), with a rapid increase in the NCD related morbidity and mortality in the last decade. Hypertension and diabetes are two important risk factors of NCDs that significantly increase the burden of cardiovascular diseases and risk...
Article
Full-text available
The Concordance statistic (C-statistic) is commonly used to assess the predictive performance (discriminatory ability) of logistic regression model. Although there are several approaches for the C-statistic, their performance in quantifying the subsequent improvement in predictive accuracy due to inclusion of novel risk factors or biomarkers in the...
Article
Full-text available
Generalized estimating equation (GEE) is a popular approach for analyzing correlated binary data. However, the problems of separation in GEE are still unknown. The separation created by a covariate often occurs in small correlated binary data and even in large data with rare outcome and/or high intra‐cluster correlation and a number of influential...
Article
Background: Left ventricular outflow tract obstruction (LVOTO) causes exertional symptoms in two thirds of patients with hypertrophic cardiomyopathy (HCM). Consensus guidelines recommend surgical intervention in patients with drug refractory symptoms. The primary aim of this study was to perform a systematic review and meta-analysis to determine m...
Article
Full-text available
Multivariate binary responses from the same subject are usually correlated. For example, malnutrition of children are usually measured using ‘stunting’ (low height-for-age) and ‘wasting’ (low weight-for-age) calculated from their height, weight and age, and hence the status of being stunted may depend on the status of being wasted and vice-versa. F...
Article
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Objective To investigate the sociodemographic and geographical variation in under- and overnutrition prevalence among children and mothers. Design Data from the 2014 Bangladesh Demographic and Health Survey were analysed. Stunting and wasting for children and BMI<18·5 kg/m ² for mothers were considered as undernutrition; overweight was considered...
Article
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Correlated data frequently arise from cross-sectional studies with complex cluster design because individuals from the same cluster or region share some common characteristics. Analyzing correlated data using standard statistical methods, which are applicable for independent data, may produce misleading inference. This article reviews the GEE and i...
Article
Correlated data frequently arise from cross-sectional studies with complex cluster design because individuals from the same cluster or region share some common characteristics. Analyzing correlated data using standard statistical methods, which are applicable for independent data, may produce misleading inference. This article reviews the GEE and i...
Article
Full-text available
In clinical research, prediction models for binary data are frequently developed in logistic regression framework to predict the risk of patient's health status such as death and illness. However, when the outcome is rare, the maximum likelihood (ML) based standard logistic regression has been reported to show poor predictive performance by providi...
Article
Full-text available
Background and objectives mHealth offers a new opportunity to ensure access to qualified healthcare providers. Therefore, to better understand its potential in Bangladesh, it is important to understand how young people use mobile phones for healthcare. Here we examine the knowledge, attitudes and intentions to use mHealth services among young popul...
Article
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Background Traditional gender roles result in women lagging behind men in the use of modern technologies, especially in developing countries. Although there is rapid uptake of mobile phone use in Bangladesh, investigation of gender differences in the ownership, access and use of mobile phones in general and mHealth in particular has been limited. T...
Article
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Background When developing a prediction model for survival data it is essential to validate its performance in external validation settings using appropriate performance measures. Although a number of such measures have been proposed, there is only limited guidance regarding their use in the context of model validation. This paper reviewed and eval...
Article
Full-text available
Background When developing risk models for binary data with small or sparse data sets, the standard maximum likelihood estimation (MLE) based logistic regression faces several problems including biased or infinite estimate of the regression coefficient and frequent convergence failure of the likelihood due to separation. The problem of separation o...
Article
Full-text available
Background: The health hazards associated with the use of smokeless tobacco (SLT) are similar to those of smoking. However, unlike smoking, limited initiatives have been taken to control the use of SLT, despite its widespread use in South and Southeast Asian countries including Bangladesh. It is therefore important to examine the prevalence of SLT...
Article
Full-text available
Background: Malnutrition in children under five years remains a significant problem in Bangladesh, despite substantial socio-economic progress and a decade of interventions aimed at improving it. Although several studies have been conducted to identify the important risk factors of malnutrition, none of them assess the role of low birth weight (LB...
Article
Full-text available
Anderson-Fabry Disease (AFD) is an X linked lysosomal storage disorder caused by mutations in the α-galactosidase A gene. Some mutations are associated with prominent and, in many cases, exclusive cardiac involvement. The primary aims of this study were to determine the incidence of major cardiac events in AFD and to identify clinical and genetic p...
Article
Full-text available
Introduction Bangladesh has a serious shortage of qualified health workforce. The limited numbers of trained service providers are based in urban areas, which limits access to quality healthcare for the rural population. mHealth provides a new opportunity to ensure access to quality services to the population. A recent review suggested that there a...
Article
Full-text available
HCM is commonly associated with AF. Current guidelines for AF management omit detailed advice for HCM because of a lack of clinical prediction tools that estimate the risk of developing AF and an absence of adequately powered treatment studies. To critically review current literature on atrial fibrillation (AF) and thromboembolism in hypertrophic c...
Article
Full-text available
Background The genetic basis of familial hypertrophic cardiomyopathy (HCM) is well described, but the relation between genotype and clinical phenotype is still poorly characterised. Objective To summarise and critically review the current literature on genotype–phenotype associations in patients with HCM and to perform a meta-analysis on selected c...
Article
Full-text available
Background The reliable and valid measurement of attitudes towards condom use are essential to assist efforts to design population specific interventions aimed at promoting positive attitude towards, and increased use of condoms. Although several studies, mostly in English speaking western world, have demonstrated the utility of condom attitude sca...
Article
Full-text available
Vaccines often have heterogeneous actions because of possible variation in the immune systems of hosts. One must consider such heterogeneity of vaccine action when developing a vaccine efficacy parameter. Addressing this issue the summary model of vaccine action has been proposed in the literature to estimate vaccine efficacy in a randomly mixing p...
Thesis
Full-text available
Prognostic models are developed to guide the clinical management of patients or to assess the performance of health institutions. It is essential that performances of these models are evaluated using appropriate validation measures. Despite the proposal of several validation measures for survival outcomes, it is still unclear which measures should...
Article
Full-text available
The triggers of ventricular arrhythmias (VAs) leading to sudden cardiac death in hypertrophic cardiomyopathy (HCM) are ill defined. We sought to examine the electrophysiological characteristics of VAs in HCM and study their relation to cardiac phenotype and circadian patterns using stored intracardiac electrocardiograms from implantable cardioverte...
Article
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Implantable cardioverter defibrillators (ICDs) are routinely used to prevent sudden cardiac death (SCD) in selected hypertrophic cardiomyopathy (HCM) patients, but the determinants of device-related complications, therapies and long-term cardiovascular mortality in ICD recipients are not known. Retrospective observational cohort study. Single-centr...
Article
Human immunodeficiency virus (HIV) research in Bangladesh has mainly focused on key vulnerable groups (e.g. sex workers, drug users). In order to develop appropriate HIV prevention strategies in an evolving epidemic, there is a need for evidence on sexual practices in other population groups. This research aims to describe the prevalence of risky b...
Article
In longitudinal studies, as repeated observations are made on the same individual the response variables will usually be correlated. In analyzing such data, this dependence must be taken into account to avoid misleading inferences. The focus of this paper is to apply a logistic marginal model with Markovian dependence proposed by Azzalini [A. Azzal...
Article
Full-text available
To quarantine the spreading possibility of HIV virus to general population boosting public awareness is must. But the proper awareness level is substantially low in Bangladesh. This paper aims to identify the factors associated with the awareness regarding HIV/AIDS through a bivariate and multivariate analysis using the data extracted from Banglade...
Article
Full-text available
The focus of the paper is to examine socioeconomic disparities in health, nutrition, and population in Bangladesh and to investigate whether education and media exposure would reduce the disparities. Data on health status and health services utilization, extracted from the 2004 Bangladesh Demographic and Health Survey, have been analyzed and presen...
Article
Full-text available
The paper aims to apply bivariate probit model considering more than one explanatory variable for analyzing malnutrition data extracted from the 2004 Bangladesh Demographic and Health Survey (BDHS). Three estimation procedures namely maximum likelihood (ML), full information minimum chi-square (FIMC) and limited information minimum chi-square (LIMC...

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Projects

Projects (3)
Project
The project’s overarching objective is to provide critical evidence to influence policies and interventions, which will promote tolerance and peace building, encourage civic engagement and facilitate psycho-social well-being, using gender-transformative approaches to mitigate the adverse impacts of C-19 on the MVGs of the refugees and host communities in Cox’s Bazar.
Archived project
Mapping the non-communicable diseases in Bangladesh after adjusting the spatial effects.