IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v158y1995i1p73-89.html
   My bibliography  Save this article

An Assessment of Estimation Procedures for Multilevel Models with Binary Responses

Author

Listed:
  • Germáan Rodríguez
  • Noreen Goldman

Abstract

We evaluate two software packages that are available for fitting multilevel models to binary response data, namely VARCL and ML3, by using a Monte Carlo study designed to represent quite closely the actual structure of a data set used in an analysis of health care utilization in Guatemala. We find that the estimates of fixed effects and variance components produced by the software packages are subject to very substantial downward bias when the random effects are sufficiently large to be interesting. In fact, the fixed effect estimates are no better than the estimates obtained by using standard logit models that ignore the hierarchical structure of the data. The estimates of standard errors appear to be reasonably accurate and superior to those obtained by ignoring clustering, although one might question their utility in the presence of large biases. We conclude that alternative estimation procedures need to be developed and implemented for the binary response case.

Suggested Citation

  • Germáan Rodríguez & Noreen Goldman, 1995. "An Assessment of Estimation Procedures for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 73-89, January.
  • Handle: RePEc:bla:jorssa:v:158:y:1995:i:1:p:73-89
    DOI: 10.2307/2983404
    as

    Download full text from publisher

    File URL: https://doi.org/10.2307/2983404
    Download Restriction: no

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sophia Rabe‐Hesketh & Anders Skrondal, 2006. "Multilevel modelling of complex survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 805-827, October.
    2. Dana A. Glei & Noreen Goldman & German Rodriguez, 2002. "Utilization of Care During Pregnancy in Rural Guatemala: Does Obstetrical Need Matters," Working Papers 308, Princeton University, Woodrow Wilson School of Public and International Affairs, Office of Population Research..
    3. David Cutts & Edward Fieldhouse, 2009. "What Small Spatial Scales Are Relevant as Electoral Contexts for Individual Voters? The Importance of the Household on Turnout at the 2001 General Election," American Journal of Political Science, John Wiley & Sons, vol. 53(3), pages 726-739, July.
    4. Chun Wang & Steven W. Nydick, 2020. "On Longitudinal Item Response Theory Models: A Didactic," Journal of Educational and Behavioral Statistics, , vol. 45(3), pages 339-368, June.
    5. Adeniyi, Isaac Adeola & Yahya, Waheed Babatunde, 2020. "Bayesian Generalized Linear Mixed Effects Models Using Normal-Independent Distributions: Formulation and Applications," MPRA Paper 99165, University Library of Munich, Germany.
    6. Ana Maria Fernandez-Pujals & Mark James Adams & Pippa Thomson & Andrew G McKechanie & Douglas H R Blackwood & Blair H Smith & Anna F Dominiczak & Andrew D Morris & Keith Matthews & Archie Campbell & P, 2015. "Epidemiology and Heritability of Major Depressive Disorder, Stratified by Age of Onset, Sex, and Illness Course in Generation Scotland: Scottish Family Health Study (GS:SFHS)," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-18, November.
    7. Jerry J. Maples & Susan A. Murphy & William G. Axinn, 2002. "Two-Level Proportional Hazards Models," Biometrics, The International Biometric Society, vol. 58(4), pages 754-763, December.
    8. Daniel J Corsi & S V Subramanian & Martin McKee & Wei Li & Sumathi Swaminathan & Patricio Lopez-Jaramillo & Alvaro Avezum & Scott A Lear & Gilles Dagenais & Sumathy Rangarajan & Koon Teo & Salim Yusuf, 2012. "Environmental Profile of a Community’s Health (EPOCH): An Ecometric Assessment of Measures of the Community Environment Based on Individual Perception," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.

    More about this item

    Statistics

    Access and download statistics

    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:bla:jorssa:v:158:y:1995:i:1:p:73-89. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley Content Delivery). General contact details of provider: http://edirc.repec.org/data/rssssea.html .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.