I was admitted to the INDIVIDUAL PARTICIPANT DATA (IPD) META-ANALYSIS course which will be held at the University Medical Center Utrecht from the 26th to the 30th of June. Thanks to the course, I will learn the fundamental statistical methods and principles for evidence synthesis and meta-analysis when IPD (Individual Participant/Patient Data) are available from multiple studies. I will have the possibility to learn how to handle continuous, binary and time-to-event outcomes, and both fixed-effect and random-effects meta-analysis models. Day 1 will focus mainly on the general rationale and advantages of IPD meta-analysis. Day 2 will focus on the synthesis of IPD from randomised trials of interventions, where the aim is to quantify a treatment effect (usually in the presence of between-study heterogeneity) or to identify treatment effect modifiers (interactions) for stratified medicine. Day 3 will focus on key differences and potential objectives of IPD meta-analysis of observational studies, where the aim is to identify prognostic factors or to develop/validate a risk prediction (prognostic) model. Day 4 will focus on statistical methods for developing and validating risk prediction models in IPD meta-analysis. On Day 5, students will prepare a protocol for a case study and discuss this with their peers. Dr. Federico Tedeschi, our group statistician at UNIVR will share this experience with me. Really excited about this experience!!