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Details of Kanchan Kumer Sen


CURRICULUM VITAE

OF

KANCHAN KUMAR SEN

 

Address:Lecturer, Department of Statistics, Biostatistics & Informatics,

University of Dhaka Dhaka -1000, Bangladesh

Contact number:+8801839301895

E-mail: kksen.du@gmail.com

Personal Details

 

Full name                                                         : Kanchan Kumar Sen

Father's name                                                  :  Dwijendra Nath Sen

Mother's name                                                :  Sumitra Rani Sen

Date of Birth                                                    : 15 October 1989

Nationality                                                      :  Bangladeshi (By Birth)

National ID                                                         :  9419421243067

Gender                                                              : Male

Marital Status                                                  :  Single

Religion                                                            :  Hinduism

Permanent Address                                       :  Vill: Kisamat Sukhan Pukhuri, P.O: Sobdol                               

   Hat (5100), P.S: Thakurgaon Sadar, Dist: 

  Thakurgaon, Bangladesh

Present Address                                              :  325, International Hall, University of Dhaka, Dhaka-

                                                                                  1000, Bangladesh             

Contact no                                                       :  +8801839301895

AcademicQualification

                           

 

  • Master of Science (M.S.)
  • Subject: Statistics, Biostatistics & Informatics (Thesis group)
  • University: University of Dhaka
  • Result: 3.97 (out of 4.00) ; 2ndposition
  • Session: 2012-13
  • Year of passing: 2013
  • Bachelor of Science(B.S.)(4 years integrated)
  • Subject: Statistics, Biostatistics & Informatics
  • University: University of Dhaka
  • Result: CGPA: 3.75 (out of 4.00) ; 5thposition
  • Session: 2008-09
  • Year of passing: 2012
  • Higher Secondary Certificate (HSC)
  • Group: Science
  • Institute: Thakurgaon Govt. College
  • Result: GPA : 5.00 (out of 5.00)
  • Year of passing: 2007
  • Board : Rajshahi
  • Secondary School Certificate (SSC)
  • Group: Science
  • Institute: Balia M.B.S.C. High School
  • Result: GPA : 4.31 (out of 5.00)
  • Year of passing: 2005
  • Board : Rajshahi
  •  

M.S. Thesis

 

Analyzing Longitudinal Count Data: Generalized Quasi-likelihood Approach”

Abstract  In this study, the generalized quasi-likelihood (GQL) estimation approach has been used to analyze the longitudinal data of four repeated count responses of 872 registered diabetic patients who visit at least two years but must visit at least one of last two years during the follow-up period of 1993 to 1996 obtained by Bangladesh Institute of Research and Rehabilitation for Diabetes, Endocrine and Metabolic Disorders (BIRDEM) hospital, Dhaka. The data on variables such as age, sex, body mass index, family history of diabetes (heredity), area of residence, education level and physical exercise are obtained. The aim of this study was to propose the GQL approach for analyzing longitudinal count data and to determine the factors related to the visits of diabetic patients at hospital. We found that heredity, gender, area of residence, physical exercise and age < 40 years are the potential factors to visit the hospital. This study reveals that the patients who are below 40 years old, do physical exercise and whose ancestors have or had diabetes visit more to the hospital than the patients who are between 40 and 60 years old, do not exercise and whose ancestors did not have diabetes, respectively but the patients who are male and live in urban area visit less to the hospital than the patients who are female and live in rural area, respectively.

 

Supervised by: Dr. Taslim Sazzad Mallick, Associate Professor, Dept. of Statistics, Biostatistics & Informatics, University of Dhaka.

 

 

 

Working Experience

 

17/07/16-Present        Lecturer

                                    Dept. of Statistics, Biostatistics & Informatics

University of Dhaka

                                    Dhaka-1000, Bangladesh

Core courses: MTM-201 (Principles of Statistics)

 

16/08/15-16/07/16     Lecturer

                                    Dept. of Statistics

                                    Jagannath University, Dhaka-1100, Bangladesh

Core courses: STA-4202(Mathematical Statistics II), STA-2204 (Ordinary     Differential Equations), STA-2104 (Advanced Calculus), CSE R-2107 (Introduction to Statistics and Probability)

02/08/15-15/08/15   Senior Statistician

James P Grant School of Public Health. Brac University, Dhaka, Bangladesh.

 

Research Interest

 

Biostatistics, Longitudinal Analysis, Epidemiology, Multivariate Analysis, Statistical Inference,Bayesian Analysis, Design of Experiment

 

Language Proficiency

 

English:Speaking, Reading, Writing

Bengali:Speaking, Reading, Writing

 

Computer Literacy

 

Programming languages: R-Programming

Statistical packages: SPSS, STATA

Word processors: MS Word, MS Excel, MS Power Point, LaTex

 

Publications

 

  1. Kanchan K. Sen and Taslim S. Mallick. 2016. Generalized Quasi-likelihood Approach for Analyzing Longitudinal Count Data of Number of Visits to a Diabetes Hospital in Bangladesh. The Bangladesh Journal of Scientific Research.2016. Vol- 29(1).