Missing data imputation is a critical process in data analysis, enabling researchers to infer plausible values for absent observations. Over recent decades, a variety of methods have emerged, ranging ...

There are data about practically everything these days, and they can be used to try to answer any number of questions. Do clinical trials really show a drug works? Can surveys really signal who’s ...

Interview on Ontada research presented at ISPOR 2024. Increased variety of real-world data (RWD) sources can give scientists a richer picture than ever of what’s happening to patients. But for every ...

Prior S&OP planning assumed supply was plentiful, and that forecasting could be done using historical demand. Thus, I realized that at least two special… From technology and warehouse space to trade ...