Current advances in science and technology require the integration of several disciplines, including statistics. Many phenomena require analytical skills to predict events related to time and calculate the risks of these events in both the short and long term.
Examples include studies of the time it takes for a patient with a particular disease to recover (or, relapse) after receiving a medical treatment, or studies of the time it takes for a device to fail, or studies of the time it takes for an insurance client to file a claim.
With this background, FMIPA UI in collaboration with MIPAnet held the MIPAnet School activity with the theme "Survival Analysis and its Application in Medical and Reliability Studies", on June 24-26, 2019 at the Multidisciplinary Research Laboratory Building of FMIPA UI - PT. Pertamina (Persero), UI Campus, Depok.
This event involved as many as 50 participants who were UI students, and outside UI. Present as speakers were Dr. Sarini Abdullah (Department of Mathematics, FMIPA UI), Dr. Sri Astuti Thamrin (Faculty of Mathematics, Computing, and Data Science ITS), and Dr. Santi W Purnami (Department of Statistics, Hasanuddin University, Makassar).
Dr. rer.nat. Abdul Haris, Dean of the Faculty of Mathematics and Natural Sciences, University of Indonesia, officially opened the event. In his remarks, he stated that mathematics and natural sciences are fundamental sciences that serve as the foundation for the development of science and technology.
Meanwhile, the Secretary General of MIPAnet, Prof. Edy Tri Baskoro, Ph.D., said that the MIPAnet School program was designed to provide opportunities for MIPA students to gain advanced learning experience in certain topics/fields of study, as well as a forum for exchanging the latest information related to science among MIPAnet members throughout Indonesia.
Dr. Denny R. Silaban, M.Kom., the event's committee chairman, explained that the topics to be discussed over the next three days will focus on the medical and engineering fields. Examples of each approach from three methods: non-parametric, semi-parametric, and parametric will be provided.
The results of this lecture, Denny continued, are expected to enrich the participants' knowledge of statistical modeling in real problems, and open up insights into the integration of several scientific fields.
