IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v165y2002i3p523-548.html
   My bibliography  Save this article

Still‐births among the offspring of male radiation workers at the Sellafield nuclear reprocessing plant: detailed results and statistical aspects

Author

Listed:
  • Mark S. Pearce
  • Heather O. Dickinson
  • Murray Aitkin
  • Louise Parker

Abstract

Summary. This study investigates whether there was evidence of increasing risk of still‐birth with increasing paternal exposure to ionizing radiation received during employment at the Sellafield nuclear installation before the child was conceived. A significant positive association is found between the total paternal preconceptional exposure to external ionizing radiation and the risk of still‐birth (after adjustment for year of birth, social class, birth order and paternal age, odds ratio at 100 mSv 1.24 (95% confidence interval 1.04–1.45)). A summary of the principal scientific findings of this study has been published in the Lancet. This paper describes in detail the statistical methods that were used in the investigation and presents the results in full.

Suggested Citation

  • Mark S. Pearce & Heather O. Dickinson & Murray Aitkin & Louise Parker, 2002. "Still‐births among the offspring of male radiation workers at the Sellafield nuclear reprocessing plant: detailed results and statistical aspects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 523-548, October.
  • Handle: RePEc:bla:jorssa:v:165:y:2002:i:3:p:523-548
    DOI: 10.1111/1467-985X.t01-1-00251
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-985X.t01-1-00251
    Download Restriction: no

    File URL: https://libkey.io/10.1111/1467-985X.t01-1-00251?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
    ---><---

    References listed on IDEAS

    as
    1. Yuri E. Dubrova & Mark Plumb & Bruno Gutierrez & Emma Boulton & Alec J. Jeffreys, 2000. "Transgenerational mutation by radiation," Nature, Nature, vol. 405(6782), pages 37-37, May.
    2. Murray Aitkin, 1999. "A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models," Biometrics, The International Biometric Society, vol. 55(1), pages 117-128, March.
    3. Anthony R. Brady, 1998. "Adjusted population attributable fractions from logistic regression," Stata Technical Bulletin, StataCorp LLC, vol. 7(42).
    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. Getachew A. Dagne, 2016. "A growth mixture Tobit model: application to AIDS studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(7), pages 1174-1185, July.
    2. Marino, Maria Francesca & Alfó, Marco, 2016. "Gaussian quadrature approximations in mixed hidden Markov models for longitudinal data: A simulation study," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 193-209.
    3. Suzanne J Carroll & Michael J Dale & Theophile Niyonsenga & Anne W Taylor & Mark Daniel, 2020. "Associations between area socioeconomic status, individual mental health, physical activity, diet and change in cardiometabolic risk amongst a cohort of Australian adults: A longitudinal path analysis," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-16, May.
    4. Bergemann, Annette & Pohlan, Laura & Uhlendorff, Arne, 2017. "The impact of participation in job creation schemes in turbulent times," Labour Economics, Elsevier, vol. 47(C), pages 182-201.
    5. Lluís Bermúdez & Dimitris Karlis & Isabel Morillo, 2020. "Modelling Unobserved Heterogeneity in Claim Counts Using Finite Mixture Models," Risks, MDPI, vol. 8(1), pages 1-13, January.
    6. Caliendo, Marco & Künn, Steffen & Uhlendorff, Arne, 2016. "Earnings exemptions for unemployed workers: The relationship between marginal employment, unemployment duration and job quality," Labour Economics, Elsevier, vol. 42(C), pages 177-193.
    7. Antonello Maruotti & Pierfrancesco Alaimo Di Loro, 2023. "CO2 emissions and growth: A bivariate bidimensional mean‐variance random effects model," Environmetrics, John Wiley & Sons, Ltd., vol. 34(5), August.
    8. Bruno Crepon & Marc Ferracci & Grégory Jolivet & Gerard Van Den Berg, 2010. "Analyzing the Anticipation of Treatments with Data on Notification Dates," Working Papers 2010-41, Center for Research in Economics and Statistics.
    9. Caffo, Brian & An, Ming-Wen & Rohde, Charles, 2007. "Flexible random intercept models for binary outcomes using mixtures of normals," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5220-5235, July.
    10. Marco Alfò & Giovanni Trovato, 2004. "Semiparametric Mixture Models for Multivariate Count Data, with Application," CEIS Research Paper 51, Tor Vergata University, CEIS.
    11. Gerard J Van Den Berg & Barbara Hofmann & Arne Uhlendorff, 2016. "The Role of Sickness in the Evaluation of Job Search Assistance and Sanctions," Working Papers 2016-17, Center for Research in Economics and Statistics.
    12. Bergemann, Annette & Pohlan, Laura & Uhlendorff, Arne, 2016. "Job Creation Schemes in Turbulent Times," IZA Discussion Papers 10369, Institute of Labor Economics (IZA).
    13. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    14. Gerard J. van den Berg & Arne Uhlendorff & Joachim Wolff, 2022. "The Impact of Sanctions for Young Welfare Recipients on Transitions to Work and Wages, and on Dropping Out," Economica, London School of Economics and Political Science, vol. 89(353), pages 1-28, January.
    15. Alfò, Marco & Rocchetti, Irene, 2013. "A flexible approach to finite mixture regression models for multivariate mixed responses," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1754-1758.
    16. Claudia Stommel & Heribert Hofer & Marion L East, 2016. "The Effect of Reduced Water Availability in the Great Ruaha River on the Vulnerable Common Hippopotamus in the Ruaha National Park, Tanzania," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-18, June.
    17. Victor Chernozhukov & Ivan Fernandez-Val & Jinyong Hahn & Whitney K. Newey, 2008. "Identification and estimation of marginal effects in nonlinear panel models," CeMMAP working papers CWP25/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    18. Weiping Zhang & MengMeng Zhang & Yu Chen, 2020. "A Copula-Based GLMM Model for Multivariate Longitudinal Data with Mixed-Types of Responses," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(2), pages 353-379, November.
    19. Formann, Anton K., 2007. "Mixture analysis of multivariate categorical data with covariates and missing entries," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5236-5246, July.
    20. Marco Alfò & Maria Francesca Marino & Maria Giovanna Ranalli & Nicola Salvati & Nikos Tzavidis, 2021. "M‐quantile regression for multivariate longitudinal data with an application to the Millennium Cohort Study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 122-146, January.

    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:165:y:2002:i:3:p:523-548. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.html .

    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.