Prof. Ani Budi Astuti, M.Si is a professor in the field of Bayesian Health Statistics at the Faculty of Mathematics and Natural Sciences. She is the 31st professor at FMIPA and the 229th active professor at UB and is the 405th professor of all the professors that UB has produced.
Technological developments make data as valuable asset, including in the world of health. However, this also goes hand in hand with uncertainty in the form of incomplete data, inconsistent data quality, and inappropriate analysis methods. Errors in data processing have fatal consequences that can potentially result in the loss of someone’s life.
Conventional approaches to health data analysis are often not robust enough to face these challenges. As a solution, Prof. Dr. Dra. Ani Budi Astuti, M.Sc. offers a modern approach with a more modern way of thinking with the Bayesian Statistical Model. “Bayesian not only offers a modern approach, but also a more dynamic and adaptive way of thinking in dealing with data facts in various areas of life, including health data,” he explained.
The Bayesian approach is not only important for individual diagnosis, but also for public health policy making. “For example, in determining vaccination priorities, the Bayesian Statistical Model can help identify the most vulnerable population groups based on demographic data, disease prevalence, and vaccine effectiveness. In this way, limited resources can be allocated optimally to provide maximum impact,” added the lecturer at the Faculty of Mathematics and Natural Sciences.
The more interesting, she said, the data-driven concept that is at the core of the Bayesian Statistical Model is in line with Islamic principles, namely honesty and the use of reason in making decisions.
The Bayesian Statistical Model is not just an analytical tool, but also a philosophy in dealing with uncertainty in life. With an adaptive, innovative, and data-driven approach, we can create better solutions to current and future health challenges. This is certainly a big step towards a more resilient, equitable, and sustainable health system.
The Bayesian approach is not just a statistical and analytical tool, but also a bridge to connect data, science, and policy in an effort to realize a more adaptive, evidence-based health system. Bayesian statistics is a new paradigm that encourages a more critical, systematic, and adaptive way of thinking in facing data challenges in the health sector. (VQ/ UB PR/ Trans. Iir)
