Using saturated count models for user‐friendly synthesis of large confidential administrative databases

HIGHLIGHTS

• who: Royal Statistical Society. et al. from the Lancaster University, Lancaster, UK have published the research: Using saturated count models for user‐friendly synthesis of large confidential administrative databases, in the Journal: (JOURNAL)
• what: The paper explores how the flexibility afforded by two-parameter count models (the negative binomial and Poisson-inverse Gaussian) can be utilised to protect respondents'-especially uniques'-privacy in synthetic data.
• how: This paper shows that synthetic data sets are a viable option for safely making information held in administrative databases available to researchers which will hopefully stimulate further . . .
  

   

  

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