Ongoing CITRUS In the CITRUS project, we use modern techniques from statistics and machine learning to identify treatment effect heterogeneity in cancer research. Rating-Scale Anomalies We propse an autoencoder-based technique for identifying anomalies in rating-scale data. GenericML R implementation of Generic Machine Learning Inference, as proposed by Chernozhukov et al. (2020). Completed
