IASC - Statistical modelling of life science
| Date | 19 Jul 2024 |
| Time | 11:00 GMT+02:00 - 12:00 GMT+02:00 |
| Level of instruction | Intermediate |
| Instructor |
Dr. Nur Chamidah
|
| Registration fee | |
ABSTRACT: In the Statistical modelling of life science, we employ the use of the non-parametric and semi-parametric models in the implementation of our investigation of children’s nutritional status by means of their anthropometric measurements, and also modelled infectious diseases such as HIV AIDS and COVID-19. The modelling of some non-communicable diseases such as hypertension and diabetics are also considered in this work as well as employing the use of imagery in the identification of diseases such as Malaria and Tuberculosis.
Instructors
About the instructor
Dr. Nur is of the Mathematics Department, Faculty of Science and Technology Universitas Airlangga, Surabaya, Indonesia. She is a dedicated lecturer in Statistics in the Bachelors Study Program and head/coordinator of the Mathematics Masters Study Program, Universitas Airlangga.
She is constantly contributing to Indonesia growth as head of Statistical Modelling in Life Sciences research unit, mainly focusing on multi-response nonparametric and semiparametric regression, local linear estimator, and local polynomial regression.
She obtained a Statistics Doctorate from the Institut Teknologi Sepuluh in 2014 with a Dissertation titled “Local Polynomial Estimator in Multi-response Nonparametric Regression".
She initially bagged a Statistics Master’s degree from the Institut Teknologi Sepuluh and a Mathematics Bachelors from the Universitas Airlangga, her thesis was on Kernel Estimator in Semiparametric Regression Model and on the solution of the nonlinear Klein-Gordon wave equation respectively.
Dr. Chamidah had been involved in over 21 funded researches, published over 56 journal articles both as co-author and author, presented over 16 oral seminars both locally and internationally, published two books in her area of research and have many awards to her credit.