IDEAS home Printed from https://ideas.repec.org/a/taf/japsta/v36y2009i4p453-463.html
   My bibliography  Save this article

Using bootstrap method to evaluate the estimates of nicotine equivalents from linear mixed model and generalized estimating equation

Author

Listed:
  • Qiwei Liang
  • Huajiang Li
  • Paul Mendes
  • Hans Roethig
  • Kim Frost-Pineda

Abstract

Twenty-four-hour urinary excretion of nicotine equivalents, a biomarker for exposure to cigarette smoke, has been widely used in biomedical studies in recent years. Its accurate estimate is important for examining human exposure to tobacco smoke. The objective of this article is to compare the bootstrap confidence intervals of nicotine equivalents with the standard confidence intervals derived from linear mixed model (LMM) and generalized estimation equation. We use percentile bootstrap method because it has practical value for real-life application and it works well with nicotine data. To preserve the within-subject correlation of nicotine equivalents between repeated measures, we bootstrap the repeated measures of each subject as a vector. The results indicate that the bootstrapped estimates in most cases give better estimates than the LMM and generalized estimation equation without bootstrap.

Suggested Citation

  • Qiwei Liang & Huajiang Li & Paul Mendes & Hans Roethig & Kim Frost-Pineda, 2009. "Using bootstrap method to evaluate the estimates of nicotine equivalents from linear mixed model and generalized estimating equation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(4), pages 453-463.
    • Handle: RePEc:taf:japsta:v:36:y:2009:i:4:p:453-463
    DOI: 10.1080/02664760802638074
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/02664760802638074
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/02664760802638074?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. Judith D. Singer, 1998. "Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models," Journal of Educational and Behavioral Statistics, , vol. 23(4), pages 323-355, December.
    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. Deka, Devajyoti, 2012. "The impacts of non-resident parking restrictions at commuter rail stations," Journal of Transport Geography, Elsevier, vol. 24(C), pages 451-461.
    2. Jake G. Messersmith & Jeong-Yeon Lee & James P. Guthrie & Yong-Yeon Ji, 2014. "Turnover at the Top: Executive Team Departures and Firm Performance," Organization Science, INFORMS, vol. 25(3), pages 776-793, June.
    3. Elberse, Anita & Anand, Bharat, 2007. "The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market," Information Economics and Policy, Elsevier, vol. 19(3-4), pages 319-343, October.
    4. Sora Kang & Kai H. Lim & Min Soo Kim & Hee-Dong Yang, 2012. "Research Note ---A Multilevel Analysis of the Effect of Group Appropriation on Collaborative Technologies Use and Performance," Information Systems Research, INFORMS, vol. 23(1), pages 214-230, March.
    5. Peter Z. Schochet, "undated". "Statistical Power for Random Assignment Evaluations of Education Programs," Mathematica Policy Research Reports 6749d31ad72d4acf988f7dce5, Mathematica Policy Research.
    6. S. Trevis Certo & Michael C. Withers & Matthew Semadeni, 2017. "A tale of two effects: Using longitudinal data to compare within- and between-firm effects," Strategic Management Journal, Wiley Blackwell, vol. 38(7), pages 1536-1556, July.
    7. Maria Alejandra Velez & James J. Murphy & John K. Stranlund, 2006. "Within and Between Group Variation of Individual Strategies in Common Pool Resources: Evidence from Field Experiments," Working Papers 2006-4, University of Massachusetts Amherst, Department of Resource Economics.
    8. Jee-Seon Kim & Edward Frees, 2006. "Omitted Variables in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 659-690, December.
    9. Andrea Kim & Youngsang Kim & Kyongji Han, 2019. "A Cross Level Investigation on the Linkage Between Job Satisfaction and Voluntary Workplace Green Behavior," Journal of Business Ethics, Springer, vol. 159(4), pages 1199-1214, November.
    10. Katherine A. DeCelles & Paul E. Tesluk & Faye S. Taxman, 2013. "A Field Investigation of Multilevel Cynicism Toward Change," Organization Science, INFORMS, vol. 24(1), pages 154-171, February.
    11. Jone L. Pearce & Qiumei Jane Xu, 2012. "Rating Performance or Contesting Status: Evidence Against the Homophily Explanation for Supervisor Demographic Skew in Performance Ratings," Organization Science, INFORMS, vol. 23(2), pages 373-385, April.
    12. Jonathon N. Cummings & J. Alberto Espinosa & Cynthia K. Pickering, 2009. "Crossing Spatial and Temporal Boundaries in Globally Distributed Projects: A Relational Model of Coordination Delay," Information Systems Research, INFORMS, vol. 20(3), pages 420-439, September.
    13. Kuhnimhof, Tobias & Buehler, Ralph & Wirtz, Matthias & Kalinowska, Dominika, 2012. "Travel trends among young adults in Germany: increasing multimodality and declining car use for men," Journal of Transport Geography, Elsevier, vol. 24(C), pages 443-450.
    14. Amy J. Hillman & Christine Shropshire & S. Trevis Certo & Dan R. Dalton & Catherine M. Dalton, 2011. "What I Like About You: A Multilevel Study of Shareholder Discontent with Director Monitoring," Organization Science, INFORMS, vol. 22(3), pages 675-687, June.
    15. Jiawen Yang & Hossein Askari & John Forrer & Lili Zhu, 2009. "How Do US Economic Sanctions Affect EU's Trade with Target Countries?," The World Economy, Wiley Blackwell, vol. 32(8), pages 1223-1244, August.
    16. Anne Margarian, 2011. "Small scale economic differentiation – A multi-level analysis with indirect closure," ERSA conference papers ersa11p1340, European Regional Science Association.
    17. Tellis, Gerard J. & Chandrasekaran, Deepa, 2010. "Extent and impact of response biases in cross-national survey research," International Journal of Research in Marketing, Elsevier, vol. 27(4), pages 329-341.
    18. Matheson, Flora I. & Moineddin, Rahim & Glazier, Richard H., 2008. "The weight of place: A multilevel analysis of gender, neighborhood material deprivation, and body mass index among Canadian adults," Social Science & Medicine, Elsevier, vol. 66(3), pages 675-690, February.
    19. Dadi Kristofersson & Kyrre Rickertsen, 2004. "Efficient Estimation of Hedonic Inverse Input Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1127-1137.
    20. Mazzei Matthew J. & Gangloff Ashley K. & Shook Christoper L., 2015. "Examining multi-level effects on corporate social responsibility and irresponsibility," Management & Marketing, Sciendo, vol. 10(3), pages 163-184, October.

    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:taf:japsta:v:36:y:2009:i:4:p:453-463. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CJAS20 .

    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.