IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v55y1999i3p671-677.html
   My bibliography  Save this article

Likelihood Ratios for Evaluating DNA Evidence When the Suspect is Found Through a Database Search

Author

Listed:
  • Anders Stockmarr

Abstract

No abstract is available for this item.

Suggested Citation

  • Anders Stockmarr, 1999. "Likelihood Ratios for Evaluating DNA Evidence When the Suspect is Found Through a Database Search," Biometrics, The International Biometric Society, vol. 55(3), pages 671-677, September.
    • Handle: RePEc:bla:biomet:v:55:y:1999:i:3:p:671-677
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.1999.00671.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. David J. Balding & Peter Donnelly, 1995. "Inference in Forensic Identification," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 21-40, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Yuk-Ka Chung & Yue-Qing Hu & Wing K. Fung, 2010. "Evaluation of DNA Mixtures from Database Search," Biometrics, The International Biometric Society, vol. 66(1), pages 233-238, March.
    2. C. J. Skinner, 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 195-212, January.
    3. Geir Storvik & Thore Egeland, 2007. "The DNA Database Search Controversy Revisited: Bridging the Bayesian–Frequentist Gap," Biometrics, The International Biometric Society, vol. 63(3), pages 922-925, September.
    4. David J. Balding, 2002. "The DN A Database Search Controversy," Biometrics, The International Biometric Society, vol. 58(1), pages 241-244, March.
    5. Chung, Yuk-Ka & Fung, Wing K. & Hu, Yue-Qing, 2010. "Familial database search on two-person mixture," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 2046-2051, August.
    6. Ronald Meester & Marjan Sjerps, 2003. "The Evidential Value in the DNA Database Search Controversy and the Two-Stain Problem," Biometrics, The International Biometric Society, vol. 59(3), pages 727-732, September.
    7. Nicholas Scurich & Richard S. John, 2011. "Trawling Genetic Databases: When a DNA Match is Just a Naked Statistic," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 8(s1), pages 49-71, December.
    8. Giulia Cereda, 2017. "Impact of Model Choice on LR Assessment in Case of Rare Haplotype Match (Frequentist Approach)," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(1), pages 230-248, March.
    9. Maria Cuellar & Jacqueline Mauro & Amanda Luby, 2022. "A probabilistic formalisation of contextual bias: From forensic analysis to systemic bias in the criminal justice system," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 620-643, December.

    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. Mehlum, Halvor, 2003. "A Finer Point in Forensic Identification," Memorandum 30/2003, Oslo University, Department of Economics.
    2. David J. Balding, 2002. "The DN A Database Search Controversy," Biometrics, The International Biometric Society, vol. 58(1), pages 241-244, March.
    3. Skinner, Chris J., 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," LSE Research Online Documents on Economics 39105, London School of Economics and Political Science, LSE Library.
    4. Chung, Yuk-Ka & Fung, Wing K. & Hu, Yue-Qing, 2010. "Familial database search on two-person mixture," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 2046-2051, August.
    5. C. J. Skinner, 2007. "The probability of identification: applying ideas from forensic statistics to disclosure risk assessment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 195-212, 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:biomet:v:55:y:1999:i:3:p:671-677. 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: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.