Open Access

Detecting Reporting Errors in Data from Decentralised Autonomous Administrations with an Application to Hospital Data


Cite

Backor, K., S. Golde, and N. Nie. 2007. “Estimating Survey Fatigue in Time Use Study.” Paper presented at the 29th Annual Conference of the International Association of Time Use Research, 17–19 October 2007, Washington, DC, U.S.A. Available at http://www.atususers.umd.edu/wip2/papers_i2007/Backor.pdf (accessed October 2018).Search in Google Scholar

Bakker, B.F.M. and P.J.H. Daas. 2012. Methodological Challenges of Register-based Research. Statistica Neerlandica, 66: 2–7. Doi: http://dx.doi.org/10.1111/j.1467-9574.2011.00505.x.10.1111/j.1467-9574.2011.00505.xSearch in Google Scholar

Berenschot. 2012. Inventarisatie informatiebehoefte brandweerstatistiek. Eindrapport (in Dutch). Available at https://www.wodc.nl/binaries/2131-volledige-tekst_tcm28-72208.pdf (accessed February 2018).Search in Google Scholar

Bottle, A., B. Jarman, and P. Aylin. 2011. “Hospital Standardized Mortality Ratios: Sensitivity Analyses on the Impact of Coding.” Health Services Research 46: 1741–1761. Doi: http://dx.doi.org/10.1111/j.1475-6773.2011.01295.x.10.1111/j.1475-6773.2011.01295.xSearch in Google Scholar

Brackstone, G.J. 1987. “Issues in the Use of Administrative Records for Statistical Purposes.” Survey Methodology 13: 29–43. Available at https://www150.statcan.gc.ca/n1/en/pub/12-001-x/1987001/article/14467-eng.pdf?st=DEZo9O3B (accessed October 2018).Search in Google Scholar

Charlson, M.E., P. Pompei, K.L. Ales, and R. MacKenzie. 1987. “A New Method of Classifying Prognostic Comorbidity in Longitudinal Studies: Development and Validation.” Journal of Chronic Diseased 40: 373–383. Doi: http://dx.doi.org/10.1016/0021-9681(87)90171-8.10.1016/0021-9681(87)90171-8Search in Google Scholar

De Waal, T., J. Pannekoek, and S. Scholtus. 2011. “Handbook of Statistical Data Editing and Imputation.” New York: John Wiley and Sons.10.1002/9780470904848Search in Google Scholar

Efron, B. and C.N. Morris. 1975. “Data Analysis using Stein’s Estimator and Its Generalizations.” Journal of the American Statistical Association 74: 311–319. Doi: http://dx.doi.org/10.1080/01621459.1975.10479864.10.1080/01621459.1975.10479864Search in Google Scholar

Elixhauser, A., C. Steiner, D.R. Harris, and R.M. Coffey. 1998. “Comorbidity Measures for Use with Administrative Data.” Medical Care 36: 8–27. Doi: http://dx.doi.org/10.1097/00005650-199801000-00004.10.1097/00005650-199801000-000049431328Search in Google Scholar

Groen, J.A. 2012. “Sources of Error in Survey and Administrative Data: The Importance of Reporting Procedures.” Journal of Official Statistics 28: 173–198. Available at http://www.sverigeisiffror.scb.se/contentassets/ff271eeeca694f47ae99b942de61df83/sources-of-error-in-survey-and-administrative-data-the-importance-of-reporting-procedures.pdf (accessed October 2018).Search in Google Scholar

Harteloh, P., K. de Bruin, and J. Kardaun. 2010. “The Reliability of Cause-of-death Coding in The Netherlands.” The European Journal of Epidemiology 25: 531–538. Doi: http://dx.doi.org/10.1007/s10654-010-9445-5.10.1007/s10654-010-9445-520309611Search in Google Scholar

Hosmer, D.W. and S. Lemeshow. 2004. Applied Logistic Regression. New York: John Wiley and Sons.Search in Google Scholar

Israëls, A., J. van der Laan, J. van der Akker-Ploemacher, and A. de Bruin. 2012. HSMR 2011: Methodological report. Technical report, Statistics Netherlands. Available at https://www.cbs.nl/NR/rdonlyres/E7EC3032-B244-4566-947D-543B8AAE6E4A/0/2012hsmr2011methoderapport.pdf (accessed February 2018).Search in Google Scholar

Jarman, B. 2008. “In Defence of the Hospital Standardised Mortality Ratio.” Healthcare Papers 8: 37–41. Doi: http://dx.doi.org/10.12927/hcpap.2008.19974.10.12927/hcpap.2008.1997418667869Search in Google Scholar

Jarman, B., S. Gault, B. Alves, A. Hider, S. Dolan, A. Cook, B. Hurwitz, and L.I. Iezzoni. 1999. “Explaining Differences in English Hospital Death Rates Using Routinely Collected Data.” Biomedicial Journal (BMJ) 318: 1515–1520. Doi: http://dx.doi.org/10.1136/bmj.318.7197.1515.10.1136/bmj.318.7197.15152789210356004Search in Google Scholar

Kim, Y., Y-K. Choi, and S. Emery. 2013. “Logistic Regression with Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages.” The American Statistician 67: 171–182. Doi: http://dx.doi.org/10.1080/00031305.2013.817357.10.1080/00031305.2013.817357383996924288415Search in Google Scholar

Oberski, D.L., A. Kirchner, S. Eckman, and F. Kreuter. 2017. “Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models.” Journal of the American Statistical Association. Available at http://dx.doi.org/10.1080/01621459.2017.1302338 (accessed February 2018).10.1080/01621459.2017.1302338Search in Google Scholar

Pieter, D., R.B. Kool, and G.P. Westert. 2010. Nederlands Tijdschrift voor Geneeskunde, 154, A2186 [in Dutch]. Available at https://www.ntvg.nl/artikelen/beperkte-invloedgegevensregistratie-op-gestandaardiseerd-ziekenhuissterftecijfer-hsmr/volledig (accessed February 2018).Search in Google Scholar

Pitches, D.W., M.A. Mohammed, and R.J. Lilford. 2007. “What Is the Empirical Evidence That Hospitals with Higher-Risk Adjusted Mortality Rates Provide Poorer Quality Care? A Systematic Review of the Literature.” BMC Health Services Research 7: 91–98. Doi: http://dx.doi.org/10.1186/1472-6963-7-91.10.1186/1472-6963-7-91192485817584919Search in Google Scholar

Prins, M.J. 2016. The Effect of Coding Practice on the Hospital Standardised Mortality Ratio, Master Thesis. Utrecht University. (available upon request).Search in Google Scholar

Quan, H., B. Li, L.D. Saunders, G.A. Parsons, C.I. Nilsson, A. Alibhai, and W.A. Ghali. 2008. “Assessing Validity of ICD-9-CM and ICD-10 Administrative Data in Recording Clinical Conditions in a Unique Dually Coded Database.” Health Services Research 43: 1424–1441. Available at http://onlinelibrary.wiley.com/doi/10.1111/j.1475-6773.2007.00822.x/full (accessed February 2018).10.1111/j.1475-6773.2007.00822.x251728318756617Search in Google Scholar

Rousseeuw, P.J. and A.M. Leroy. 1987. Robust Regression and Outlier Detection. New York: John Wiley and Sons.10.1002/0471725382Search in Google Scholar

Rubin, D.B. 1978. Multiple Imputations in Sample Surveys – a Phenomenological Bayesian Approach to Nonresponse. Proceedings of the Section on Survey Research Methods. American Statistical Association. Available at http://ww2.amstat.org/sections/srms/proceedings/papers/1978_004.pdf (accessed February 2018).Search in Google Scholar

Rubin, D.B. 1987. Multiple Imputation for Non-response in Surveys. New York: John Wiley and Sons.10.1002/9780470316696Search in Google Scholar

Shields, J. and N. To. 2005. “Learning to Say No: Conditioned Underreporting in an Expenditure Survey.” Paper presented at the American Association for Public Opinion Research Annual Conference, 12–15 May 2005, Miami Beach, U.S.A. Available at http://ww2.amstat.org/sections/srms/proceedings/y2005/Files/JSM2005-000432.pdf (accessed October 2018).Search in Google Scholar

Silberstein, A.R. and C.A. Jacobs. 1989. Symptoms of Repeated Interview Effects in the Consumer Expenditure Survey. In Panel Surveys, edited by D. Kasprzyk, G. Duncan, G. Kalton, and M.P. Singh, 289–303. New York: John Wiley and Sons.Search in Google Scholar

Tourangeau, R., R.M. Groves, and C. Redline. 2010. “Sensitive Topics and Reluctant Respondents: Demonstrating a Link between Nonresponse Bias and Measurement Error.” Public Opinion Quarterly 74(3): 413–432. Doi: http://dx.doi.org/10.1093/poq/nfq004.10.1093/poq/nfq004Search in Google Scholar

Tourangeau, R. and T. Yan. 2007. “Sensitive Questions in Surveys.” Psychological Bulletin 133(5): 859–883. Doi: http://dx.doi.org/10.1037/0033-2909.133.5.859.10.1037/0033-2909.133.5.85917723033Search in Google Scholar

United Nations Economic Commission for Europe. 2011. Using Administrative and Secondary Sources for Official Statistics: a Handbook of Principles and Practices. New York and Geneva: United Nations. Available at http://www.unece.org/fileadmin/DAM/stats/publications/Using_Administrative_Sources_Final_for_web.pdf (accessed February 2018).Search in Google Scholar

Van Delden, A. and S. Scholtus. 2017. “Correspondence between survey and admin data on quarterly turnover.” CBS Discussion Paper 2017-03. Available at https://www.cbs.nl/en-gb/background/2017/07/correspondence-between-survey-and-admin-data-on-quarterly-turnover (accessed February 2018).Search in Google Scholar

Van den Bosch, W.F., J. Silberbusch, K.J. Roozendaal, and C. Wagner. 2010. Variatie in codering Patiëntengegevens beïnvloedt gestandaardiseerd ziekenhuissterftecijfer (HSMR). Nederlands Tijdschrift voor Geneeskunde, 154 A1189 [in Dutch]. Available at https://www.ntvg.nl/artikelen/variatie-codering-patiëntengegevens-beïnvloedtgestandaardiseerd-ziekenhuissterftecijfer/volledig (accessed February 2018).Search in Google Scholar

Van der Laan, J. 2013. Quality of the Dutch Medical Registration (LMR) for the calculation of the Hospital Standardised Mortality Ratio. Discussion Paper. Statistics Netherlands. Available at https://www.cbs.nl/NR/rdonlyres/6290A0A8-4CC9-4DBFAF0B-A3C6742EEA89/0/201308x10pub.pdf (accessed February 2018).Search in Google Scholar

Van der Laan, J., A. de Bruin, J. van den Akker-Ploemacher, C. Penning, and F. Pijpers. 2015. HSMR 2014: Methodological Report. Technical Report. Statistics Netherlands. Available at https://www.cbs.nl/NR/rdonlyres/2AFF4E96-C02F-4BB0-97A9-035D17DF1104/0/2015hsmrmethodologicalreport2014.pdf (accessed February 2018).Search in Google Scholar

Wallgren, A. and B. Wallgren. 2014. Register-based Statistics. Statistical Methods for Administrative Data (2nd edition). New York: John Wiley and Sons.10.1002/9781118855959Search in Google Scholar

West, B.T. and A.G. Blom. 2017. “Explaining Interviewing Effects: A Research Synthesis.” Journal of Survey Statistics and Methodology 5: 175–211. Doi: http://dx.doi.org/10.1093/jssam/smw024.10.1093/jssam/smw024Search in Google Scholar

eISSN:
2001-7367
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Mathematics, Probability and Statistics