IDEAS home Printed from https://ideas.repec.org/a/eee/econom/v113y2003i1p33-48.html
   My bibliography  Save this article

Expert statistical testimony and epidemiological evidence: the toxic effects of lead exposure on children

Author

Listed:
  • Fienberg, Stephen E.
  • Glymour, Clark
  • Scheines, Richard

Abstract

No abstract is available for this item.

Suggested Citation

  • Fienberg, Stephen E. & Glymour, Clark & Scheines, Richard, 2003. "Expert statistical testimony and epidemiological evidence: the toxic effects of lead exposure on children," Journal of Econometrics, Elsevier, vol. 113(1), pages 33-48, March.
    • Handle: RePEc:eee:econom:v:113:y:2003:i:1:p:33-48
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304-4076(02)00165-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Stephen E. Fienberg & D.H. Kaye, 1991. "Legal and Statistical Aspects of Some Mysterious Clusters," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(1), pages 61-74, January.
    2. Richard Scheines & Herbert Hoijtink & Anne Boomsma, 1999. "Bayesian estimation and testing of structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 64(1), pages 37-52, March.
    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. Ali Noudoostbeni & Kiran Kaur & Hashem Salarzadeh Jenatabadi, 2018. "A Comparison of Structural Equation Modeling Approaches with DeLone & McLean’s Model: A Case Study of Radio-Frequency Identification User Satisfaction in Malaysian University Libraries," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    2. David Kaplan & Chansoon Lee, 2018. "Optimizing Prediction Using Bayesian Model Averaging: Examples Using Large-Scale Educational Assessments," Evaluation Review, , vol. 42(4), pages 423-457, August.
    3. Igor Filatotchev & Natalia Isachenkova & Tomasz Mickiewicz, 2007. "Corporate Governance, Managers' Independence, Exporting, and Performance of Firms in Transition Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 43(5), pages 62-77, October.
    4. Díez-Mesa, Francisco & de Oña, Rocio & de Oña, Juan, 2018. "Bayesian networks and structural equation modelling to develop service quality models: Metro of Seville case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 1-13.
    5. Asim Ansari & Kamel Jedidi & Sharan Jagpal, 2000. "A Hierarchical Bayesian Methodology for Treating Heterogeneity in Structural Equation Models," Marketing Science, INFORMS, vol. 19(4), pages 328-347, August.
    6. Yuanyuan Gu & Richard Norman & Rosalie Viney, 2014. "Estimating Health State Utility Values From Discrete Choice Experiments—A Qaly Space Model Approach," Health Economics, John Wiley & Sons, Ltd., vol. 23(9), pages 1098-1114, September.
    7. Che Wan Jasimah Bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi & Maisarah Binti Hasbullah, 2015. "Firm Sustainability Performance Index Modeling," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    8. Hong-Tu Zhu & Sik-Yum Lee, 2001. "A Bayesian analysis of finite mixtures in the LISREL model," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 133-152, March.
    9. Lee, Sik-Yum & Song, Xin-Yuan, 2008. "On Bayesian estimation and model comparison of an integrated structural equation model," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4814-4827, June.
    10. Eleftherios Giovanis & Oznur Ozdamar, 2016. "Structural Equation Modelling And The Causal Effect Of Permanent Income On Life Satisfaction: The Case Of Air Pollution Valuation In Switzerland," Journal of Economic Surveys, Wiley Blackwell, vol. 30(3), pages 430-459, July.
    11. Elena A. Erosheva & S. McKay Curtis, 2017. "Dealing with Reflection Invariance in Bayesian Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 295-307, June.
    12. Arhonditsis, George B. & Stow, Craig A. & Paerl, Hans W. & Valdes-Weaver, Lexia M. & Steinberg, Laura J. & Reckhow, Kenneth H., 2007. "Delineation of the role of nutrient dynamics and hydrologic forcing on phytoplankton patterns along a freshwater–marine continuum," Ecological Modelling, Elsevier, vol. 208(2), pages 230-246.
    13. Hashem Salarzadeh Jenatabadi & Peyman Babashamsi & Datis Khajeheian & Nader Seyyed Amiri, 2016. "Airline Sustainability Modeling: A New Framework with Application of Bayesian Structural Equation Modeling," Sustainability, MDPI, vol. 8(11), pages 1-17, November.
    14. Daniel M. McNeish, 2016. "Using Data-Dependent Priors to Mitigate Small Sample Bias in Latent Growth Models," Journal of Educational and Behavioral Statistics, , vol. 41(1), pages 27-56, February.
    15. Jian Wang & Ye Chen & Dawei Chen, 2022. "Analyzing Safety Concerns of (e-) Bikes and Cycling Behaviors at Intersections in Urban Area," Sustainability, MDPI, vol. 14(7), pages 1-17, April.
    16. Edgar C. Merkle, 2011. "A Comparison of Imputation Methods for Bayesian Factor Analysis Models," Journal of Educational and Behavioral Statistics, , vol. 36(2), pages 257-276, April.
    17. Leonidas A. Zampetakis & Melina Vekini & Vassilis Moustakis, 2009. "Entrepreneurial orientation, access to financial resources, and product performance in the Greek commercial TV industry," The Service Industries Journal, Taylor & Francis Journals, vol. 31(6), pages 897-910, April.
    18. Kees Montfort & Johan Oud, 2015. "Book Review," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 257-258, March.
    19. Richard D. Gill & Norman Fenton & David Lagnado, 2022. "Statistical Issues in Serial Killer Nurse Cases," Laws, MDPI, vol. 11(5), pages 1-28, August.
    20. Lai-Fa Hung & Wen-Chung Wang, 2012. "The Generalized Multilevel Facets Model for Longitudinal Data," Journal of Educational and Behavioral Statistics, , vol. 37(2), pages 231-255, April.

    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:eee:econom:v:113:y:2003:i:1:p:33-48. 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/locate/jeconom .

    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.