American Association for Public Opinion Research. 2016. Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys, (9th edition). Lanexa: AAPOR. Available at: https://www.aapor.org/AAPOR_Main/media/publications/Standard-Definitions20169theditionfinal.pdf (accessed October 2021).
Antoni, M., and A. Bethmann. 2019. “PASS-ADIAB – Linked Survey and Administrative Data for Research on Unemployment and Poverty.” Journal of Economics and Statistics 239(4): 747–756. DOI: <a href="https://doi.org/10.1515/jbnst-2018-0002.10.1515/jbnst-2018-0002" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1515/jbnst-2018-0002.10.1515/jbnst-2018-0002</a>
Antoni, M., K. Drasch, C. Kleinert, B. Matthes, M. Ruland, and A. Trahms. 2010. Working and Learning in a Changing World, part I: Overview of the study, FDZ Methodenreport No. 5/2010 (en). Nürnberg: Forschungsdatenzentrum (FDZ) der Bundesagentur für Arbeit im Institut für Arbeitsmarkt- und Berufsforschung (IAB). Available at: http://doku.iab.de/fdz/reporte/2010/MR_05-10_EN.pdf (accessed October 2021).
Antoni, M., and S. Seth. 2011. ALWA-ADIAB – Linked individual Survey and Administrative Data for Substantive and Methodological Research, FDZ Methodenre-port No. 12/2011 (en). Nürnberg: Forschungsdatenzentrum (FDZ) der Bundesagentur für Arbeit im Institut für Arbeitsmarkt- und Berufsforschung (IAB). Available at: http://doku.iab.de/fdz/reporte/2011/MR_12-11_EN.pdf (accessed October 2021).
Bee, C.A., G.M.R. Gathright, and B.D. Meyer. 2015. “Bias from Unit Non-Response in the Measurement of Income in Household Surveys.” Paper presented at the Joint Statistical Meetings of the American Statistical Association, August 9, 2015, Seattle, USA. Available at: http://www.solejole.org/16068.pdf (accessed February 2020).
Behrens, K., and K. Wiese. 2019. “BIK-Regionen.” In Regionale Standards: Ausgabe 2019, edited by K. Beckmann, K. Behrens, H. Hoffmann, M. Pfister, K. Wiese, J.H.P. Hoffmeyer-Zlotnik, G. Rösch, P. Siegers, W. Sodeur, U. Hanefeld, R. Herter-Eschweiler, and E. Krack-Roberg: 114–126. Cologne, Germany: GESIS – Leibniz-Institut für Sozialwissenschaften.
Blossfeld, H.P., H.G. Roßbach, and J. von Maurice (Eds.). 2011. Education as a Lifelong Process – The German National Educational Panel Study (NEPS), Zeitschrift für Erziehungswissenschaft: Sonderheft 14. Wiesbaden: Springer VS.
Burgette, L.F., and J.P. Reiter. 2010. “Multiple Imputation for Missing Data via Sequential Regression Trees.” American Journal of Epidemiology 172(9): 1070–1076. DOI: <a href="https://doi.org/10.1093/aje/kwq260.10.1093/aje/kwq26020841346" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/aje/kwq260.10.1093/aje/kwq26020841346</a>
Burkam, D.T., and V.E. Lee. 1998. “Effects of Monotone and Nonmonotone Attrition on Parameter Estimates in Regression Models with Educational Data.” The Journal of Human Resources 33(2): 555–574. DOI: <a href="https://doi.org/10.2307/146441.10.2307/146441" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.2307/146441.10.2307/146441</a>
Calderwood, L., and C. Lessof. 2009. “Enhancing Longitudinal Surveys by Linking to Administrative Data.” In Methodology of Longitudinal Surveys, edited by P. Lynn: 55–72. West Sussex, England: John Wiley & Sons.<a href="https://doi.org/10.1002/9780470743874.ch4" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/9780470743874.ch4</a>
Cheshire, H., D. Hussey, J. Medina, K. Pickering, N. Wood, K. Ward, K. Taylor, and C. Lessof. 2012. Financial circumstances, health and well-being of the older population in England: The 2008 English Longitudinal Study of Ageing: Wave 4 Technical Report. London: National Centre for Social Research. Available at: https://ifs.org.uk/elsa/report10/w4_tech.pdf (accessed October 2021).
Couper, M.P., and M.B. Ofstedal. 2009. “Keeping in Contact with Mobile Sample Members.” In Methodology of Longitudinal Surveys, edited by P. Lynn: 183–203. West Sussex, England: John Wiley & Sons.<a href="https://doi.org/10.1002/9780470743874.ch11" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/9780470743874.ch11</a>
Edwards, B., L. Branden, and M. Stange. 2011. “Piggyback Survey Respondents and Mode: Lessons Learned from Design and Operations.” In JSM Proceedings, Survey Research Methods Section, August 1, 2011: 5009–5021. Alexandria, VA: American Statistical Association. Available at: http://www.asasrms.org/Proceedings/y2011/Files/302992_69483.pdf (accessed October 2021).
Ezzati-Rice, T.M., F. Rohde, and J. Greenblatt. 2008. Sample Design of the Medical Expenditure Panel Survey Household Component, 1998–2007. Methodology Report No. 22. March 2008. Rockville, MD, USA: Agency for Healthcare Research and Quality. Available at: http://www.meps.ahrq.gov/mepsweb/data_files/publications/mr22/mr22.shtml (accessed February 2020).
Freedman, V.A., K. McGonagle, and P. Andreski. 2014. The Panel Study of Income Dynamics: Linked Medicare Claims Data. PSID Technical Series Paper No. 14-01. University of Michigan. Available at: https://psidonline.isr.umich.edu/publications/Papers/tsp/2014-01_PSIDMedicare.pdf (accessed October 2021).
Groves, R., F.J. Fowler, M.P. Couper, J.M. Lepkowski, E. Singer, and R. Tourangeau. 2009. Survey Methodology, (2nd ed.). Hoboken, NJ: John Wiley & Sons.
Hammon, A., S. Zinn, C. Aßmann, and A. Würbach. 2016. Samples, Weights, and Nonresponse: The Adult cohort of the National Educational Panel Study (Wave 2 to 6). Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study. NEPS Survey Paper No. 7. DOI: <a href="https://doi.org/10.5157/NEPS:SP07:1.0." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.5157/NEPS:SP07:1.0.</a>
Hammon, A. 2018. Samples, Weights, and Nonresponse: The Adult Cohort of the National Educational Panel Study (Wave 7 to 9). Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study. Available at: https://www.neps-data.de/Portals/0/NEPS/Datenzentrum/Forschungsdaten/SC6/9-0-0/SC6_9-0-0_W.pdf (accessed October 2021).
Hoonhout, P., and G. Ridder. 2019. “Nonignorable Attrition in Multi-Period Panels With Refreshment Samples.” Journal of Business & Economic Statistics 37(3): 377–390. DOI: <a href="https://doi.org/10.1080/07350015.2017.1345744.10.1080/07350015.2017.1345744" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/07350015.2017.1345744.10.1080/07350015.2017.1345744</a>
Jacobebbinghaus, P., and S. Seth. 2007. “The German Integrated Employment Biographies Sample IEBS.” Schmollers Jahrbuch: Journal of Applied Social Science Studies 127: 335 – 342. Available at: https://www.ratswd.de/download/schmollers/2007_127/Schmollers_2007_2_S335.pdf (accessed October 2021).<a href="https://doi.org/10.3790/schm.127.2.335" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.3790/schm.127.2.335</a>
Korbmacher, J., and C. Czaplicki. 2013. “Linking SHARE Survey Data with Administrative Records: First Experiences from SHARE-Germany.” In SHARE Wave 4: Innovations & Methodology, edited by F. Malter and A. Börsch-Supan: 47–53. Munich: MEA, Max Planck Institute for Social Law and Social Policy.
Knies, G., J. Burton, and E. Sala. 2012. “Consenting to Health Record Linkage: Evidence from a Multipurpose Longitudinal Survey of a General Population.” BMC Health Services Research 12(52). DOI: <a href="https://doi.org/10.1186/1472-6963-12-52.10.1186/1472-6963-12-52333001422390416" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1186/1472-6963-12-52.10.1186/1472-6963-12-52333001422390416</a>
Knies, G., and J. Burton. 2014. “Analysis of four studies in a comparative framework reveals: health linkage consent rates on British cohort studies higher than on UK household panel surveys.” BMC Medical Research Methodology 14(125). DOI: <a href="https://doi.org/10.1186/1471-2288-14-125.10.1186/1471-2288-14-125428070125430545" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1186/1471-2288-14-125.10.1186/1471-2288-14-125428070125430545</a>
Kreuter, F., and U. Kohler. 2009. “Analyzing Contact Sequences in Call Record Data: Potential and Limitations of Sequence Indicators for Nonresponse Adjustments in the European Social Survey.” Journal of Official Statistics 25(2): 203–226.
Kreuter, F., G. Müller, and M. Trappmann. 2010a. “Nonresponse and Measurement Error in Employment Research: Making Use of Administrative Data.” Public Opinion Quarterly 74: 880–906. DOI: <a href="https://doi.org/10.1093/poq/nfq060.10.1093/poq/nfq060" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/poq/nfq060.10.1093/poq/nfq060</a>
Kreuter, F., K. Olson, J. Wagner, T. Yan, T.M. Ezzati-Rice, C. Casas-Cordero, M. Lemay, A. Peytchev, R.M. Groves, and T.E. Raghunathan. 2010b. “Using Proxy Measures and Other Correlates of Survey Outcomes to Adjust for Nonresponse: Examples from Multiple Surveys.” Journal of the Royal Statistical Society: Series A (Statistics in Society) 173: 389–407. DOI: <a href="https://doi.org/10.1111/j.1467-985X.2009.00621.x.10.1111/j.1467-985X.2009.00621.x" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1111/j.1467-985X.2009.00621.x.10.1111/j.1467-985X.2009.00621.x</a>
Kroh, M. 2010. DIW Documentation of Sample Sizes and Panel Attrition in the German Socio Economic Panel (SOEP) (1984 until 2009). DIW Data Documentation 50. Berlin: German Institute for Economic Research. Available at: https://www.diw.de/documents/publikationen/73/diw_01.c.359697.de/diw_datadoc_2010-050.pdf (accessed October 2021).
Lemay, M. 2009. Understanding the Mechanisms of Panel Attrition. PhD Dissertation. University of Maryland, College Park. Available at: http://hdl.handle.net/1903/9631 (accessed October 2021).
Lepkowski, J.M., and M.C. Couper. 2002. “Nonresponse in the Second Wave of Longitudinal Household Surveys.” In Survey Nonresponse, edited by R.M. Groves, D.A. Dillman, J.L. Eltinge, and R.J.A. Little: 259–272. New York, NY: John Wiley & Sons.
Lin, I., and N.C. Schaeffer. 1995. “Using Survey Participants to Estimate the Impact of Nonparticipation.” Public Opinion Quarterly 59: 236–258. DOI: <a href="https://doi.org/10.1086/269471.10.1086/269471" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1086/269471.10.1086/269471</a>
Little, R.J.A., and S. Vartivarian. 2005. “Does Weighting for Nonresponse Increase the Variance of Survey Means?” Survey Methodology 31: 161–168. Available at: https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2005002/article/9046-eng.pdf?st=3epbdduy (accessed October 2021).
Meyer, B.D., and N. Mittag. 2019. “Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness, and Holes in the Safety Net.” American Economic Journal: Applied Economics 11(2): 176–204. DOI: <a href="https://doi.org/10.1257/app.20170478.10.1257/app.20170478" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1257/app.20170478.10.1257/app.20170478</a>
Neukirch, T. 2002. “Nonignorable Attrition and Selectivity Biases in the Finnish Subsample of the ECHP: an Empirical Study Using Additional Register Information.” Chintex Working Paper 5. Frankfurt a. M.: J.W. Goethe-Universität. Available at: http://hdl.handle.net/10068/92455 (accessed October 2021).
Olsen, R. 2018. “Panel Attrition.” In The Palgrave Handbook of Survey Research, edited by D. Vannette and J. Krosnick: 509–517. DOI: <a href="https://doi.org/10.1007/978-3-319-54395-6_59.10.1007/978-3-319-54395-6_59" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/978-3-319-54395-6_59.10.1007/978-3-319-54395-6_59</a>
Olson, J.A. 1999. “Linkages with Data from Social Security Administrative Records in the Health and Retirement Study.” Social Security Bulletin 62(2): 73–85. Available at: https://www.ssa.gov/policy/docs/ssb/v62n2/v62n2p73.pdf (accessed October 2021).
Pankowska, P., B. Bakker, D.L. Oberski, and D. Pavlopoulos. 2018. “Reconciliation of two data sources by correction for measurement error: the feasibility of parameter reuse.” Statistical Journal of the IAOS 34(3): 317–329. DOI: <a href="https://doi.org/10.3233/SJI-170368.10.3233/SJI-170368" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.3233/SJI-170368.10.3233/SJI-170368</a>
Pavlopoulos, D., and J.K. Vermunt. 2015. “Measuring temporary employment. Do survey or register data tell the truth?” Survey Methodology 41(1): 197–214. Available at: https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2015001/article/14151-eng.pdf?st=tAsC-b20 (accessed October 2021).
Sakshaug, J.W., M. Antoni, and R. Sauckel. 2017. “The Quality and Selectivity of Linking Federal Administrative Records to Respondents and Nonrespondents in a General Population Survey in Germany.” Survey Research Methods 1: 63–80. DOI: <a href="https://doi.org/10.18148/srm/2017.v11i1.6718.10.23889/ijpds.v1i1.189" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.18148/srm/2017.v11i1.6718.10.23889/ijpds.v1i1.189</a>
Sakshaug, J.W., and M. Antoni. 2019. “Evaluating the Utility of Indirectly Linked Federal Administrative Records for Nonresponse Bias Adjustment.” Journal of Survey Statistics and Methodology 7: 227–249. DOI: <a href="https://doi.org/10.1093/jssam/smy009.10.1093/jssam/smy009" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/jssam/smy009.10.1093/jssam/smy009</a>
Sakshaug, J.W., and M. Huber. 2016. “An Evaluation of Panel Nonresponse and Linkage Consent Bias in a Survey of Employees in Germany.” Journal of Survey Statistics and Methodology 4(1): 71–93. DOI: <a href="https://doi.org/10.1093/jssam/smv034.10.1093/jssam/smv034" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/jssam/smv034.10.1093/jssam/smv034</a>
Sakshaug, J.W., and F. Kreuter. 2012. “Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data.” Survey Research Methods 6(2): 113–122. DOI: <a href="https://doi.org/10.18148/srm/2012.v6i2.5094." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.18148/srm/2012.v6i2.5094.</a>
Schaurer, I., and K. Weyandt. 2018. GESIS Panel Technical Report: Recruitment 2016 (Wave d11 and d12). Cologne, Germany: GESIS – Leibniz-Institut für Sozialwissenschaften.
Scholz, J., A. Seshadri, and S. Khitatrakun. 2006. “Are Americans Saving ‘Optimally’ for Retirement?” Journal of Political Economy 114: 607–643. DOI: <a href="https://doi.org/10.1086/506335.10.1086/506335" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1086/506335.10.1086/506335</a>
Short, K., and E. McArthur. 1986. “Life Events and Sample Attrition in the Survey of Income and Program Participation.” In Proceedings of the Survey Research Methods Section of the American Statistical Association: 200–205. Available at: http://www.asasrms.org/Proceedings/y1986f.html (accessed October 2021).
Sin, C.H. 2006. “The feasibility of using national surveys to derive samples of older people from different ethnic groups in Britain: Lessons from ‘piggy-backing’ on the Family Resources Survey.” International Journal of Social Research Methodology 9(1): 15–28. DOI: <a href="https://doi.org/10.1080/13645570500435264.10.1080/13645570500435264" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1080/13645570500435264.10.1080/13645570500435264</a>
Sinibaldi, J., M. Trappmann, and F. Kreuter. 2014. “Which is the better investment for nonresponse adjustment: Purchasing commercial auxiliary data or collecting interviewer observations?” Public Opinion Quarterly 78(2): 440–473. DOI: <a href="https://doi.org/10.1093/poq/nfu003.10.1093/poq/nfu003" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/poq/nfu003.10.1093/poq/nfu003</a>
Smith, T.W. 2011. “The Report of the International Workshop on Using Multi-Level Data from Sample Frames, Auxiliary Databases, Paradata and Related Sources to Detect and Adjust for Nonresponse Bias in Surveys.” International Journal of Public Opinion Research 23: 389–402. DOI: <a href="https://doi.org/10.1093/ijpor/edr035.10.1093/ijpor/edr035" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/ijpor/edr035.10.1093/ijpor/edr035</a>
Smith, T.W., and J. Kim. 2013. “An Assessment of the Multi-Level Integrated Database Approach.” The Annals of the American Academy of Political and Social Science 645: 185–221. DOI: <a href="https://doi.org/10.1177/0002716212463340.10.1177/0002716212463340" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1177/0002716212463340.10.1177/0002716212463340</a>
Spieß, M., and M. Kroh. 2004. “Documentation of Sample Sizes and Panel Attrition in the German Socio Economic Panel (GSOEP).” Research Note No. 28a. Berlin, Germany: German Institute for Economic Research (DIW). Available at: https://www.diw.de/documents/publikationen/73/diw_01.c.43407.de/diw_datadoc_2004-001.pdf (accessed October 2021).
Stöckinger, C., S. Kretschmer, and C. Kleinert. 2018. Panel Attrition in NEPS Starting Cohort 6: A Description of Attrition Processes in Waves 2 to 7 with Regard to Nonresponse Bias, NEPS Survey Paper No. 35. Bamberg, Germany: Leibniz Institute for Educational Trajectories, National Educational Panel Study.
Taylor, M.F., Brice, J., Buck, N., and Prentice-Lane, E. (Eds.). 2010. British Household Panel Survey User Manual Volume A: Introduction, Technical Report and Appendices. Colchester: University of Essex.
Taylor, R., L. Conway, L. Calderwood, C. Lessof, H. Cheshire, K. Cox, and S. Scholes. 2007. Health, wealth and lifestyles of the older population in England: The 2002 English Longitudinal Study of Ageing: Technical Report. London: Institute of Fiscal Studies. Available at: https://ifs.org.uk/elsa/report03/w1_tech.pdf (accessed October 2021).
Trappmann, M., T. Gramlich, and A. Mosthaf. 2015. “The Effect of Events Between Waves on Panel Attrition.” Survey Research Methods 9(1): 31–43. DOI: <a href="https://doi.org/10.18148/srm/2015.v9i1.5849." target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.18148/srm/2015.v9i1.5849.</a>
UNECE (United Nations Economic Commission for Europe). 2007. Register-Based Statistics in the Nordic Countries: Review of Best Practices with Focus on Population and Social Statistics. Technical Report E.07.II.E.11. New York/Geneva: United Nations. Available at: http://www.unece.org/fileadmin/DAM/stats/publications/Register_based_statistics_in_Nordic_countries.pdf (accessed February 2020).
Valliant, R., J.A. Dever, and F. Kreuter. 2013. Practical Tools for Designing and Weighting Survey Samples. New York: Springer. DOI: <a href="https://doi.org/10.1007/978-3-319-93632-1_13.10.1007/978-3-319-93632-1_13" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/978-3-319-93632-1_13.10.1007/978-3-319-93632-1_13</a>
Watson, N., and M. Wooden. 2009. “Identifying Factors Affecting Longitudinal Survey Response.” In Methodology of Longitudinal Surveys, edited by P. Lynn: 157–181. West Sussex, England: John Wiley & Sons.<a href="https://doi.org/10.1002/9780470743874.ch10" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">10.1002/9780470743874.ch10</a>
Weinert, S., C. Artelt, M. Prenzel, M. Senkbeil, T. Ehmke, C.H. Carstensen, and K. Lockl. 2019. “Development of Competencies Across the Life Course.” In Education as a Lifelong Process: The German National Educational Panel Study (NEPS), Edition ZfE Vol. 3, edited by H.P. Blossfeld and H.G. Roßbach: 57–81. Wiesbaden: Springer VS. DOI: <a href="https://doi.org/10.1007/978-3-658-23162-0.10.1007/978-3-658-23162-0" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1007/978-3-658-23162-0.10.1007/978-3-658-23162-0</a>
West, B.T., F. Kreuter, and M. Trappmann. 2014. “Is the Collection of Interviewer Observations Worthwhile in an Economic Panel Survey? New Evidence from the German Labor Market and Social Security (PASS) Study.” Journal of Survey Statistics and Methodology 2: 159–181. DOI: <a href="https://doi.org/10.1093/jssam/smu002.10.1093/jssam/smu002" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/jssam/smu002.10.1093/jssam/smu002</a>
West, B.T., J. Wagner, F. Hubbard, and H. Gu. 2015. “The Utility of Alternative Commercial Data Sources for Survey Operations and Estimation: Evidence from the National Survey of Family Growth.” Journal of Survey Statistics and Methodology 3: 240–264. DOI: <a href="https://doi.org/10.1093/jssam/smv004.10.1093/jssam/smv004" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1093/jssam/smv004.10.1093/jssam/smv004</a>
Young, A.F., A.J. Dobson, and J.E. Byles. 2001. “Health Services Research Using Linked Records: Who Consents and What is the Gain?” Australian and New Zealand Journal of Public Health 25(5): 417–420. DOI: <a href="https://doi.org/10.1111/j.1467-842X.2001.tb00284.x.10.1111/j.1467-842X.2001.tb00284.x" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.1111/j.1467-842X.2001.tb00284.x.10.1111/j.1467-842X.2001.tb00284.x</a>