Improving quality of administrative data: A case study with FBI’s national incident-based reporting system data

[1]  Matthieu Resche-Rigon,et al.  Multiple imputation by chained equations for systematically and sporadically missing multilevel data , 2018, Statistical methods in medical research.

[2]  Robert M. Groves,et al.  Total Survey Error: Past, Present, and Future , 2010 .

[3]  Albert D. Biderman,et al.  On Exploring the "Dark Figure" of Crime , 1967 .

[4]  Li-Chun Zhang,et al.  Topics of statistical theory for register‐based statistics and data integration , 2012 .

[5]  Vernon Gayle,et al.  The role of administrative data in the big data revolution in social science research. , 2016, Social science research.

[6]  K. Strom,et al.  The future of crime data: The case for the National Incident-Based Reporting System (NIBRS) as a primary data source for policy evaluation and crime analysis , 2017 .

[7]  D. Tim Holt,et al.  The Official Statistics Olympic Challenge , 2007 .

[8]  Holmberg Anders,et al.  Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ , 2017 .

[9]  Yujia Zhang,et al.  Using multiple imputation to address the inconsistent distribution of a controlling variable when modeling an infrequent outcome. , 2017, Journal of modern applied statistical methods : JMASM.

[10]  April Pattavina,et al.  Assessing the Coverage and Representativeness of the National Incident-Based Reporting System , 2017 .

[11]  Vincent Audigier,et al.  Multiple Imputation for Multilevel Data with Continuous and Binary Variables , 2017, 1702.00971.

[12]  Matthieu Resche-Rigon,et al.  Multiple imputation for handling systematically missing confounders in meta‐analysis of individual participant data , 2013, Statistics in medicine.

[13]  Seppo Laaksonen,et al.  Survey estimation under informative nonresponse with follow-up , 2005 .

[14]  Roger Tourangeau,et al.  Summary Report of the AAPOR Task Force on Non-probability Sampling , 2013 .

[15]  Paul P. Biemer,et al.  A System for Managing the Quality of Official Statistics , 2014 .

[16]  Lynn A. Addington Assessing the Extent of Nonresponse Bias on NIBRS Estimates of Violent Crime , 2008 .

[17]  Elizabeth A. Stuart,et al.  Theory and practice in non-probability surveys : parallels between causal inference and survey inference , 2017 .

[18]  Alexander Robitzsch,et al.  Multiple Imputation of Multilevel Missing Data , 2016, 1611.03112.

[19]  Anders Wallgren,et al.  Register-based statistics : , 2007 .

[20]  P. Biemer Total Survey Error: Design, Implementation, and Evaluation , 2010 .