PhD, M. Sc. B. A.
Postdoctoral Research Assistant in Applied Statistics
I am a Postdoctoral Research Assistant in Applied Statistics in the John Gallaher’s team, working on the ROADMAP project. My current research focuses on validation of different models used to predict the development of Alzheimer’s disease and using cohort studies to build more informative predictive risk assessment of Alzheimer’s disease.
I obtained Bachelor degree in Psychology and Master of Science degree in Applied Statistics, at the University of Novi Sad, Serbia. Following this, I was awarded a Ph.D. degree at Alpen-Adria University in Klagenfurt, Austria on the topic of Modeling Large Data in Psychology: Bayesian model of age-related changes. During my DPhil thesis, I focused on the utilisation of the Big data approaches in psychology. I investigated different ways in which practitioners can build statistically sophisticated models that result in theoretically novel explanations. My approach focuses on the investigation of the preserving effects of expertise and activity on the age-related decline in complex cognitive processes, such as performance in the game of chess and sports.
Large data and Bayesian modeling-aging curves of NBA players.
Vaci N. et al, (2019), Behav Res Methods
Chess databases as a research vehicle in psychology: Modeling large data.
Vaci N. and Bilalić M., (2017), Behav Res Methods, 49, 1227 - 1240
Is age really cruel to experts? Compensatory effects of activity.
Vaci N. et al, (2015), Psychol Aging, 30, 740 - 754
Restricting range restricts conclusions.
Vaci N. et al, (2014), Front Psychol, 5
Bayesian Approach to Modeling Motor Expertise
VACI N., Behavior Research Methods