IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v60y2004i3p589-597.html
   My bibliography  Save this article

Two-Stage Designs for Gene–Disease Association Studies with Sample Size Constraints

Author

Listed:
  • Jaya M. Satagopan
  • E. S. Venkatraman
  • Colin B. Begg

Abstract

No abstract is available for this item.

Suggested Citation

  • Jaya M. Satagopan & E. S. Venkatraman & Colin B. Begg, 2004. "Two-Stage Designs for Gene–Disease Association Studies with Sample Size Constraints," Biometrics, The International Biometric Society, vol. 60(3), pages 589-597, September.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:3:p:589-597
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00207.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. Neil J. Risch, 2000. "Searching for genetic determinants in the new millennium," Nature, Nature, vol. 405(6788), pages 847-856, June.
    2. Jaya M. Satagopan & David A. Verbel & E. S. Venkatraman & Kenneth E. Offit & Colin B. Begg, 2002. "Two-Stage Designs for Gene–Disease Association Studies," Biometrics, The International Biometric Society, vol. 58(1), pages 163-170, March.
    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. Sato Yasunori & Laird Nan & Suganami Hideki & Hamada Chikuma & Niki Naoto & Yoshimura Isao & Yoshida Teruhiko, 2009. "Statistical Screening Method for Genetic Factors Influencing Susceptibility to Common Diseases in a Two-Stage Genome-Wide Association Study," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-23, November.
    2. André Scherag & Johannes Hebebrand & Helmut Schäfer & Hans-Helge Müller, 2009. "Flexible Designs for Genomewide Association Studies," Biometrics, The International Biometric Society, vol. 65(3), pages 815-821, September.
    3. Duncan C. Thomas, 2005. "Discussion on "Statistical Issues Arising in the Women's Health Initiative"," Biometrics, The International Biometric Society, vol. 61(4), pages 930-933, December.
    4. Steibel, Juan P. & Rosa, Guilherme J.M. & Tempelman, Robert J., 2009. "Optimizing design of two-stage experiments for transcriptional profiling," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1639-1649, March.
    5. T. Tony Cai & Wenguang Sun, 2017. "Optimal screening and discovery of sparse signals with applications to multistage high throughput studies," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(1), pages 197-223, January.
    6. József Bukszár & Edwin J. C. G. van den Oord, 2006. "Optimization of Two-Stage Genetic Designs Where Data Are Combined Using an Accurate and Efficient Approximation for Pearson's Statistic," Biometrics, The International Biometric Society, vol. 62(4), pages 1132-1137, December.
    7. Minjung Kwak & Jungnam Joo & Gang Zheng, 2009. "A Robust Test for Two-Stage Design in Genome-Wide Association Studies," Biometrics, The International Biometric Society, vol. 65(4), pages 1288-1295, 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. Minjung Kwak & Jungnam Joo & Gang Zheng, 2009. "A Robust Test for Two-Stage Design in Genome-Wide Association Studies," Biometrics, The International Biometric Society, vol. 65(4), pages 1288-1295, December.
    2. Duncan C. Thomas, 2005. "Discussion on "Statistical Issues Arising in the Women's Health Initiative"," Biometrics, The International Biometric Society, vol. 61(4), pages 930-933, December.
    3. Wanwan Tang & Xuebing Wu & Rui Jiang & Yanda Li, 2009. "Epistatic Module Detection for Case-Control Studies: A Bayesian Model with a Gibbs Sampling Strategy," PLOS Genetics, Public Library of Science, vol. 5(5), pages 1-18, May.
    4. Jungnam Joo & Minjung Kwak & Gang Zheng, 2010. "Improving Power for Testing Genetic Association in Case–Control Studies by Reducing the Alternative Space," Biometrics, The International Biometric Society, vol. 66(1), pages 266-276, March.
    5. Sato Yasunori & Laird Nan & Suganami Hideki & Hamada Chikuma & Niki Naoto & Yoshimura Isao & Yoshida Teruhiko, 2009. "Statistical Screening Method for Genetic Factors Influencing Susceptibility to Common Diseases in a Two-Stage Genome-Wide Association Study," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-23, November.
    6. H. Zhang & G. Zheng & Z. Li, 2006. "Statistical Analysis for Haplotype-Based Matched Case–Control Studies," Biometrics, The International Biometric Society, vol. 62(4), pages 1124-1131, December.
    7. Ning Jiang & Minghui Wang & Tianye Jia & Lin Wang & Lindsey Leach & Christine Hackett & David Marshall & Zewei Luo, 2011. "A Robust Statistical Method for Association-Based eQTL Analysis," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-11, August.
    8. Kari E. North & Lisa J. Martin, 2008. "The Importance of Gene—Environment Interaction," Sociological Methods & Research, , vol. 37(2), pages 164-200, November.
    9. Xiaofeng Zhu & Richard S Cooper, 2007. "Admixture Mapping Provides Evidence of Association of the VNN1 Gene with Hypertension," PLOS ONE, Public Library of Science, vol. 2(11), pages 1-10, November.
    10. Li, Zhaohai & Zhang, Hong & Zheng, Gang & Gastwirth, Joseph L. & Gail, Mitchell H., 2009. "Excess false positive rate caused by population stratification and disease rate heterogeneity in case-control association studies," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1767-1781, March.
    11. Ding Xiao & Weiss Scott & Raby Benjamin & Lange Christoph & Laird Nan M, 2009. "Impact of Population Stratification on Family-Based Association Tests with Longitudinal Measurements," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-19, February.
    12. Sirkku Karinen & Tuomas Heikkinen & Heli Nevanlinna & Sampsa Hautaniemi, 2011. "Data Integration Workflow for Search of Disease Driving Genes and Genetic Variants," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-8, April.
    13. Frank, Reanne, 2007. "What to make of it? The (Re)emergence of a biological conceptualization of race in health disparities research," Social Science & Medicine, Elsevier, vol. 64(10), pages 1977-1983, May.

    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:60:y:2004:i:3:p:589-597. 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.