Real-world data: the art of modelling (workshop at annual WEON conference)
Covid-19 is a disease with a high mortality and morbidity rates, for which hospitalization is not uncommon. After hospitalization, patients may suffer from long-term complaints, including e.g. fatigue. You are asked to develop a prediction model that gives the probability of return to work within 6 months after hospitalization.
You are provided with a dataset ( download data ) and a data dictionary (below). This dataset contains a set of potential predictor variables, available at the time of hospital discharge, as well as the time to return to work (with a maximum follow-up of 1.5 years).