• A calibrated imputation method for secondary data analysis of survey data 

      Da Silva, Damiao N; Zhang, Li-Chun (Peer reviewed; Journal article, 2019-11-21)
      In practical survey sampling, missing data are unavoidable due to nonresponse, rejected observations by editing, disclosure control, or outlier suppression. We propose a calibrated imputation approach so that valid point ...
    • Cox regression with linked data 

      Vo, Thanh Huan; Garès, Valérie; Zhang, Li-Chun; Happe, André; Oger, Emmanuel; Paquelet, Stéphane; Chauvet, Guillaume (Peer reviewed; Journal article, 2023)
    • Graph sampling by lagged random walk 

      Zhang, Li-Chun (Peer reviewed; Journal article, 2021-12-10)
      We propose a family of lagged random walk sampling methods in simple undirected graphs, where transition to the next state (i.e., node) depends on both the current and previous states—hence, lagged. The existing random ...
    • Maximum entropy classification for record linkage 

      Lee, Danhyang; Zhang, Li-Chun; Kim, Jae Kwang (Peer reviewed; Journal article, 2022)
      By record linkage one joins records residing in separate files which are believed to be related to the same entity. In this paper we approach record linkage as a classification problem, and adapt the maximum entropy ...
    • Secure big data collection and processing: Framework, means and opportunities 

      Zhang, Li-Chun; Haraldsen, Gustav (Peer reviewed; Journal article, 2022)
      Statistical disclosure control is important for the dissemination of statistical outputs. There is an increasing need for greater confidentiality protection during data collection and processing by National Statistical ...
    • Weighting estimation under bipartite incidence graph sampling 

      Patone, Martina; Zhang, Li-Chun (Peer reviewed; Journal article, 2022)