Munni Begum

Munni Begum

Professor of Mathematical Sciences and Director of the Data Science and Analytics Programs

Phone:765-285-8673

Room:RB 431


Degrees:

B.S. in Statistics, University of Dhaka, Dhaka 1994
M.S. in Statistics, University of Dhaka, Dhaka, 1996
M.A. in Statistics, Ball State University, Indiana, 2001
Ph.D. in Biostatistics, University of North Carolina at Chapel Hill, 2005

Research Interests:

  • Methods and principles of Statistics and Biostatistics
  • Statistical Learning and Predictive modeling
  • Statistical Computing in Bioinformatics and Molecular Biology
  • Linear and generalized linear modeling
  • Time dependent and longitudinal data analysis
  • Multivariate techniques
  • Survival Analysis
  • Bayesian methods and hierarchical modeling

Selected Publications

  • Hossain,S., Lazar, D., Begum, M.(2021). Ordinal Statistical Models of Physical Activity
    Levels from Accelerometer Data. International Journal of Exercise Science, Vol 14(7),
    338-357.
  • Parh M. Yasin, Begum M., Harber M., Finch H. et al. (2020). Subgroup Identification for
    Differential Cardio-respiratory Fitness Effect on Cardiovascular Disease Risk Factors: A
    Model-based Recursive Partitioning Approach. Journal of Statistical Research, Vol 54(2),
    147-165
  • Lazar, D., Begum, M.(2020). Generalized Linear Modeling of a Panel Mobility Index with
    Correlated Multivariate, Categorical Responses. Journal of Statistical Research, Vol 54(2),
    207-221.
  • Lazar, D., Begum, M., Murshed, M., Nelson M., Bock, J., Imboden, M., Kaminsky, L.,
    Montonye, A. (2020). Statistical Learning Methods to Predict Activity Intensity from
    Body-Worn Accelerometers. Journal of Biomedical Analytics, Vol 3(1), 27-50.
  • Ethan S Pickerill, Rebecca P Kurtz, Aaron Tharp, Paula Guerrero Sanz, Munni Begum, and
    Douglas A. Bernstein. Pseudouridine synthase 7 impacts Candida albicans rRNA processing
    and morphological plasticity. Yeast. 2019; 1–9.
    https://doi.org/10.1002/yea.3436PICKERILLET AL.9
  • Moreshed Alam, Naim Al Mahi, and Munni Begum (2018). Zero-Inflated Models for
    RNA-Seq Count Data. Journal of Biomedical Analytics. Vol 1(2) pp 55-70.
  • Md Nazir Uddin and Munni Begum (2018). A Generalized Linear Model for Multivariate
    Correlated Binary Response Data on Mobility Index Journal of Statistical Research.
    Vol(52)(1) pp 61-73.
  • Tasnia Ahmed and Munni Begum (2018). Association between Gene Expression, Clinical
    Factors and Survival in Patients with Breast Cancer. Journal of Biomedical Analytics. Vol
    1(1) pp 1-14.
  • Farhin Rahman and Munni Begum (2017). Survival Analysis of Recurrent Events on
    Prostate Cancer : Facts from Cancer Genome. Journal of Statistical Research. Vol(51)(2)
    pp 145-164.
  • Alexander H.K. Montoye, Munni Begum, Zachary Henning, and Karin A. Pfeiffer (2017).
    Comparison of linear and non-linear models for predicting energy expenditure from raw
    accelerometer data. Physiological Measurement. Vol 38(2).

 


Course Schedule
Course No. Section Times Days Location
Stat Thry and Meth i 687 800 0000 - 0000 OL, room ONLINE
Bayes Methods and Li 656 1 0900 - 1040 T R RB, room 450
Bayes Methods and Li 656 800 0000 - 0000
Thesis 698 14 0000 - 0000
Thesis 698 15 0000 - 0000
Thesis 698 16 0000 - 0000