IDEAS home Printed from https://ideas.repec.org/a/eee/stapro/v164y2020ics0167715220301048.html
   My bibliography  Save this article

Method comparison with repeated measurements — Passing–Bablok regression for grouped data with errors in both variables

Author

Listed:
  • Baumdicker, F.
  • Hölker, U.

Abstract

Passing–Bablok regression relies on the slopes of the connecting lines between pairwise measurements. We introduce the Block–Passing–Bablok regression for grouped data, where repeated measurements with errors in both variables are available.

Suggested Citation

  • Baumdicker, F. & Hölker, U., 2020. "Method comparison with repeated measurements — Passing–Bablok regression for grouped data with errors in both variables," Statistics & Probability Letters, Elsevier, vol. 164(C).
  • Handle: RePEc:eee:stapro:v:164:y:2020:i:c:s0167715220301048
    DOI: 10.1016/j.spl.2020.108801
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167715220301048
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.spl.2020.108801?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chris Frost & Simon G. Thompson, 2000. "Correcting for regression dilution bias: comparison of methods for a single predictor variable," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(2), pages 173-189.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. González-Díaz, Julio & Gossner, Olivier & Rogers, Brian W., 2012. "Performing best when it matters most: Evidence from professional tennis," Journal of Economic Behavior & Organization, Elsevier, vol. 84(3), pages 767-781.
    2. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
    3. Ylenio Longo & Alexander Gunz & Guy Curtis & Tom Farsides, 2016. "Measuring Need Satisfaction and Frustration in Educational and Work Contexts: The Need Satisfaction and Frustration Scale (NSFS)," Journal of Happiness Studies, Springer, vol. 17(1), pages 295-317, February.
    4. Ng-Knight, Terry & Schoon, Ingrid, 2017. "Can locus of control compensate for socioeconomic adversity in the transition from school to work?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 46(10), pages 2114-2128.
    5. Tabea Schoeler & Doug Speed & Eleonora Porcu & Nicola Pirastu & Jean-Baptiste Pingault & Zoltán Kutalik, 2023. "Participation bias in the UK Biobank distorts genetic associations and downstream analyses," Nature Human Behaviour, Nature, vol. 7(7), pages 1216-1227, July.
    6. Dino Collalti & Eric Strobl, 2022. "Economic damages due to extreme precipitation during tropical storms: evidence from Jamaica," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(3), pages 2059-2086, February.
    7. Bauchmüller, Robert, 2012. "Gains from child-centred Early Childhood Education: Evidence from a Dutch pilot programme," MERIT Working Papers 2012-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. S. C. Noah Uhrig & Nicole Watson, 2020. "The Impact of Measurement Error on Wage Decompositions: Evidence From the British Household Panel Survey and the Household, Income and Labour Dynamics in Australia Survey," Sociological Methods & Research, , vol. 49(1), pages 43-78, February.
    9. Xiaocao Tian & Huaidong Du & Liming Li & Derrick Bennett & Ruqin Gao & Shanpeng Li & Shaojie Wang & Yu Guo & Zheng Bian & Ling Yang & Yiping Chen & Junshi Chen & Yan Gao & Min Weng & Zengchang Pang & , 2017. "Fruit consumption and physical activity in relation to all-cause and cardiovascular mortality among 70,000 Chinese adults with pre-existing vascular disease," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-16, April.
    10. Marco Giesselmann & Alexander Schmidt-Catran, 2018. "Interactions in Fixed Effects Regression Models," Discussion Papers of DIW Berlin 1748, DIW Berlin, German Institute for Economic Research.
    11. Daniel J. Hicks, 2020. "Census Demographics and Chlorpyrifos Use in California’s Central Valley, 2011–15: A Distributional Environmental Justice Analysis," IJERPH, MDPI, vol. 17(7), pages 1-20, April.
    12. Marcus Groß, 2016. "Modeling body height in prehistory using a spatio-temporal Bayesian errors-in variables model," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(3), pages 289-311, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:stapro:v:164:y:2020:i:c:s0167715220301048. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.