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INVITED & CONTRIBUTED Through Easychair INVITED & CONTRIBUTED Through EasyChair 7th International Conference on Data Science and SDGs: Challenges, Opportunities and Realities EC-001 Selecting Covariance Structure to Analyze Longitudinal Data: A Study to Model the Body Mass Index of Primary School Going Children in Bangladesh Mohammad Ohid Ullah1*, and Mst. Farzana Akter2 1Professor, Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh Email: [email protected] 2MSc Thesis student, Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh, Email: [email protected] Background In longitudinal study, the data are collected from the same subject over time and hence data are correlated. To analyze these kinds of data, selecting a better covariance structure is very important to get the better results. Therefore, we aimed to select better covariance structure to model the body mass index (BMI) of primary school going children in Bangladesh. Methods To do this study, at first we conducted a longitudinal study, we built a cohort of100primary school going children in Sylhet city, Bangladesh. We collected the information from the same children at the initial time (T0), after six month (T6),after twelve month (T12) and after 18 months (T18).Linear Mixed Model (LMM) was applied for selecting a better covariance structure and then to model the body mass index. Results To find out a better covariance structure, we used Diagonal, Unstructured (UN), Auto Regressive order 1 (AR1) and Compound Symmetry (CS) covariance structures in the collected longitudinal data. Observing all the criteria, it is found that the covariance structure ‘CS’ (compound symmetry) gives better results of LMM. Finally using the CS covariance structure, we observed thatover time BMI of male students’ are comparatively less than female students’ (-0.040, p=0.034). Conclusions Taken together, we may conclude that Compound Symmetry (CS) gives better output to model the body mass index of primary school going children. As female students are getting more obese, in addition, today’s female children are the mothers of the future; therefore, parents should give concentration on female children to reduce their weight. This study may be useful for researchers in public health sectors to select a proper covariance structure to analyze their longitudinal data. Keywords: Compound Symmetry, Obesity, Longitudinal study, Linear Mixed Model, Public Health. EC-002 Does an empirical relationship exist between financial development and economic growth in SAARC countries? Md Abdullah Al Mamun1, Ranjan Kumar Mitra2 and Md Abdul Wadud3 1 Associate Professor, Department of Folklore, Faculty of Social Sciences, University of Rajshahi Email: [email protected] 2 Associate Professor, Department of Accounting & Information Systems, University of Dhaka Email: [email protected] 3 Professor, Department of Economics, University of Rajshahi Email: [email protected] Economic theories suggest that a sound and efficient financial system promotes economic growth by fostering efficient allocation of resources. This paper aims to investigate the theoretical prediction about the relationship between financial development and economic growth in SAARC countries. Generalized Method of Moment (GMM) has been applied on panel data of five SAARC countries covering the period from 1984 to 2016 to test the hypothesized relationship. As an empirical proxy for economic growth, the study uses annual percentage growth rate of GDP per capita. We employ four different indicators of financial development based on domestic credit provided by the financial sector institutions of respective economies. Result reveals notable positive effect of financial development on economic growth in SAARC countries, after controlling the time-constant country-specific effect or effects of potential biases induced by 103 simultaneity. Thus, findings are consistent with the theories that predict a significant positive role of financial development in the process of economic growth of a country. Keywords: Financial development, Economic growth, GMM method, SAARC economy EC-003 Undernutrition among Bhumij preschool children of West Bengal, India Biswajit Mahapatra1, 2, Soma Pal1, Kaushik Bose1* and Goutam Sahoo1 1Department of Anthropology, Vidyasagar University, Midnapore-721102, West Bengal, India. 2Anthropological Survey of India, Head Office, 27, Jawaharlal Nehru Road, Kolkata-700016, West Bengal, India. Poor nutritional status among tribal preschool children observed in different regions of West Bengal as well as India. Nutritional status of tribal preschool children especially Bhumij children of West Bengal has not been investigated adequately. The present community based cross-sectional study was undertaken to determine the prevalence of undernutrition using stunting, underweight and wasting among Bhumij preschool children of West Bengal, India. A total of 245 (129 boys; 116 girls) Bhumij children aged from 1 to 5 years were studied from eleven villages of Keshiary, Dantan-I and Nayagram block of Paschim Medinipur and Jhargram district of West Bengal. Length/height and weight of children was measured according to standard procedures. Date of birth was collected from birth certificates or health immunization cards of children. WHO Child Growth Standards (2006) was used to evaluate the nutritional status of Bhumij preschool children. Results revealed that there were no significant sex differences in mean height. Only 5 years (t=2.26 and p<0.05) Bhumij boys were significantly heavier than girls counterpart. Significant age differences in mean height [Height: F=213.66, p<0.001 (boys) and F=223.0, p<0.001 (girls)] and weight [Weight: F=116.95, p<0.001 (boys) and F=88.77, p<0.001 (girls)] was observed for both sexes. Overall prevalence of stunting, underweight and wasting were 45.7%, 24.9% and 9.8%, respectively. The age combined prevalence of undernutrition among boys were higher than girls (stunting: 51.2% vs 39.7%; underweight: 27.9% vs 21.6% and wasting: 14.0% vs 5.2%). Very high prevalence of stunting indicates critical situation of these communities. There is an urgent need to improve health care services to the tribal population and tribal children. Short Running Title: Prevalence of undernutrition among Bhumij preschool children. KEY WORDS: West Bengal; Bhumij; Undernutrition; Pre-school children. EC-004 Investigating the role of climate change on dengue emergence and transmission in Bangladesh Md. Azizul Baten PhD Professor, Department of Statistics, Shahjalal University of Science and Technology Sylhet-3114, Bangladesh Email: [email protected]; [email protected] Dengue is a viral infectious disease that is transmitted by mosquitoes, increased over time, the solution is really needed to control the dengue fever since it causes to mortality. The main objective of this study is to examine the impact of climate change on dengue fever and to establish the relationship of dengue fever occurrences as a linear function of health care system performance and a set of climate factors using Poisson regression model. The coefficient of maximum temperature with (0.8419), minimum temperature (-0.8539), rainfall (0.0242), humidity (0.4261), general health efficiency score estimated from Battese and Coelli (1992) with (-110.403) are significant while the coefficient of maximum temperature with (0.7368), minimum temperature (-0.3848), rainfall (0.0232), humidity (0.1939), general health efficiency score estimated from Battese and Coelli (1995) with (-132.112) are found highly significant for dengue transmission using Poisson regression model. The climate factors such as maximum temperature, rainfall and humidity had shown positive impact on dengue transmission while the minimum temperature, and health efficiency had shown negative impact on dengue transmission. This study provides the message to health policy makers in exploring the potential strategies in order to reduce the existing burden of the increase in dengue transmission in Bangladesh. Keywords: Dengue, Climate Change, Health Performance, Stochastic Frontier Analysis, Poisson Regression Analysis, Bangladesh 104 EC-005 An Efficient Estimation Procedure of Population Median in Two-Occasion Successive Sampling A. K. Singh Department of Statistics, Sri Venkateswara College, University of Delhi, India [email protected] The objective of this paper is to estimate the finite population median using information on auxiliary variable in two-occasion successive sampling. General class of estimators have been proposed. Properties of the proposed estimators have been studied including optimum replacement policy. Proposed estimators have been compared with the sample median estimator when there is no matching from previous occasion and also compare with the ratio type estimator proposed by Singh et.al (2007) for second quartile. The behaviour of the proposed estimators are justified by empirical interpretation and validated by means of simulation study with the help of natural population. Keywords: Successive sampling, population median, bias, mean square error, auxiliary information. EC-006 Forecasting Volatility of Selected Banks of Dhaka Stock Exchange (DSE), Bangladesh with GARCH (p, q) Types Models Hossain, S.1, M.A. Baten1 and F. B. Mukta1 1Department of Statistics, Shahjalal University of Science and Technology, Sylhet-3114, Bangladesh Email: [email protected], [email protected], [email protected] Abstract: Excessive volatility in stock
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