Profile of Dr. Taslim Sazzad Mallick

Profile of Dr. Taslim Sazzad Mallick

Dr. Taslim Sazzad Mallick
Professor
Department of Statistics
Faculty of Sciences
Email: tsmallick@du.ac.bd
Phone: 880-2-9661900, 9001321
Image of Dr. Taslim Sazzad Mallick
Degree Name Group/Major Subject Board/Institute Country Passing Year
Ph.D. Statistics Memorial University Canada 2009
Masters Statistics Memorial University Canada 2004
Masters Statistics University of Dhaka Bangladesh 1999
Bachelor Statistics University of Dhaka Bangladesh 1997
Award Type Award Title Year Country Description
No award information is found
Research Interest
Subject Description
Time series data analysis
Longitudinal data analysis
Project/Research Supervision
Level of Study Title Supervisor Co-Supervisor(s) Name of Student(s) Area of Research Current Completion
No project/research supervision is found
Project/Research Work
Subject Project Name Source of Fund From Date To Date Collaboration
No project/research work is found
Invited Talk
SL Invited Talk
No invited talk is found
SL Collaboration & Membership Name Type Membership Year Membership Expire Year
No Collaboration & Membership is found
Title Organization Location From Date To Date Description
No experience is found
Journal Article
1
Talukder, A., Akter, N. and Mallick, T.S. : Exploring Association Between Individuals’ Stature and Type 2 Diabetes Status: Propensity Score Analysis, Environmental Health Insights, 2019 .
2
Talukder, A. and Mallick, T.S. : On association between diabetes status and stature of individual in Bangladesh: an ordinal regression analysis, International Journal of Diabetes in Developing Countries, 2017 .
3
Sen, K.K. and Mallick, T.S. : Generalized quasi-likelihood approach for analyzing longitudinal count data of number of visits to a diabetes hospital in Bangladesh, Bangladesh Journal of Scientific Research, 2016 .
4
Sutradhar, B.C., Viveros-Aguilera, R. and Mallick, T.S. : A generalization of the familial longitudinal binary model to the multinomial setup., Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data, Lecture Notes in Statistics. Springer, 2016 .
5
Jafreen, S., Mallick, T.S. and Khan J.A. : Ellipsoidal mixture models for clustering: an application to web-based education data, Bangladesh Journal of Scientific Research, 2015 .
6
Mahmood, M., Mallick, T.S., Bari, W. and Hasan, M. T. : Observation-driven models for right skewed non-stationary panel data: An application to GDP study, The Empirical Economics Letters, 2015 .
7
Baten, A., Mallick, T.S. and Khan, J.A. : Comparison of conditional likelihood and modified score function approaches in the analysis of matched case-control data, Bangladesh Journal of Scientific Research, 2013 .
8
Hossain, M.M., Mallick, T.S. and Bari, W. : Generalized quasilikelihood approach for analyzing antenatal care seeking behavior in Bangladesh, South Asian Journal of Population and Health, 2012 .
9
Sutradhar, B.C. and Mallick T.S. : Modified weights based generalized quasilikelihood inferences in incomplete longitudinal binary models, The Canadian Journal of Statistics, 2010 .
10
Mallick, T.S. and Sutradhar, B.C. : GQL versus Conditional GQL inferences for non-stationary time series of counts with overdispersion., Journal of Time Series Analysis, 2008 .
11
Mallick, T.S. : Modelling long memory time series data, Dhaka Univ. Journal of Science, 2006 .
12
Islam, M.N., Billah, M. and Mallick, T.S. : Differentials and determinants of fertility in Bangladesh: A Macro level analysis, Dhaka Univ. Journal of Science, 2003 .
13
Mallick, T.S. and Islam, M.A. : Estimation and test for Markov chain based logistic regression model for longitudinal data, Dhaka Univ. Journal of Science, 2001 .
Conference Proceedings
1
Mahmood, M., Mallick, T.S., Bari, W. and Hasan, M. T. "Modelling heterogeneity and serial correlation for right skewed longitudinal data using observation-driven approach." Advances in Mathematics and Statistical Sciences 2015 .
2
Mallick, T.S., Farrell, P.J. and Sutradhar, B.C. "Covariance matrix adjustment for generalized quasilikelihood inference in incomplete longitudinal binary models.." ISS-2012 Proceedings Volume on Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers Springer, 2013 .
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