Nonprobability samples and self-selected group memberships are frequent aspects of "people data" that analysts must navigate to infer the proper conclusions. The application of randomization tests or ...

Finding individual-level data for adequatelypowered Mendelian randomization analyses may be problematic. As publicly-available summarized data on genetic associations with disease outcomes from large ...

1 Department of Biostatistics, University of the Free State, Bloemfontein, South Africa 2 Department of Statistical Sciences, University of Padua, Padua, Italy Ensuring patient safety is paramount in ...

A randomization procedure is proposed to determine if sets of data used for phylogenetic analysis contain phylogenetically nonrandom information. The method compares the observed number of steps on a ...

Abstract: Data randomization or scrambling has been effectively used in various applications to improve the data security. In this paper, we use the idea of data randomization to proactively randomize ...

📈 An introduction to how noise in data protects privacy while preserving utility, with examples from medical research, location data, and practical applications of differential privacy.