IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v67y2011i2p546-558.html
   My bibliography  Save this article

Missing Exposure Data in Stereotype Regression Model: Application to Matched Case–Control Study with Disease Subclassification

Author

Listed:
  • Jaeil Ahn
  • Bhramar Mukherjee
  • Stephen B. Gruber
  • Samiran Sinha

Abstract

No abstract is available for this item.

Suggested Citation

  • Jaeil Ahn & Bhramar Mukherjee & Stephen B. Gruber & Samiran Sinha, 2011. "Missing Exposure Data in Stereotype Regression Model: Application to Matched Case–Control Study with Disease Subclassification," Biometrics, The International Biometric Society, vol. 67(2), pages 546-558, June.
  • Handle: RePEc:bla:biomet:v:67:y:2011:i:2:p:546-558
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01453.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. Kuss, Oliver, 2006. "On the estimation of the stereotype regression model," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 1877-1890, April.
    2. Paul J. Rathouz, 2003. "Likelihood methods for missing covariate data in highly stratified studies," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(3), pages 711-723, August.
    3. Samiran Sinha & Tapabrata Maiti, 2008. "Analysis of Matched Case–Control Data in Presence of Nonignorable Missing Exposure," Biometrics, The International Biometric Society, vol. 64(1), pages 106-114, March.
    4. Myunghee Cho Paik, 2004. "Nonignorable Missingness in Matched Case–Control Data Analyses," Biometrics, The International Biometric Society, vol. 60(2), pages 306-314, June.
    5. Samiran Sinha & Bhramar Mukherjee & Malay Ghosh, 2004. "Bayesian Semiparametric Modeling for Matched Case–Control Studies with Multiple Disease States," Biometrics, The International Biometric Society, vol. 60(1), pages 41-49, March.
    6. M. C. Paik & R. L. Sacco, 2000. "Matched case–control data analyses with missing covariates," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(1), pages 145-156.
    7. Paul J. Rathouz, 2002. "Semiparametric inference in matched case-control studies with missing covariate data," Biometrika, Biometrika Trust, vol. 89(4), pages 905-916, December.
    8. Yee, Thomas W., 2010. "The VGAM Package for Categorical Data Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 32(i10).
    9. Glen A. Satten & Raymond J. Carroll, 2000. "Conditional and Unconditional Categorical Regression Models with Missing Covariates," Biometrics, The International Biometric Society, vol. 56(2), pages 384-388, June.
    10. Sinha, Samiran & Mukherjee, Bhramar & Ghosh, Malay & Mallick, Bani K. & Carroll, Raymond J., 2005. "Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 591-601, June.
    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. Daniel Fernández & Louise McMillan & Richard Arnold & Martin Spiess & Ivy Liu, 2022. "Goodness-of-Fit and Generalized Estimating Equation Methods for Ordinal Responses Based on the Stereotype Model," Stats, MDPI, vol. 5(2), pages 1-14, June.
    2. S. A. Abu Bakar & Saralees Nadarajah & Z. A. Absl Kamarul Adzhar, 2018. "Loss modeling using Burr mixtures," Empirical Economics, Springer, vol. 54(4), pages 1503-1516, June.

    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. Mulugeta Gebregziabher & Bryan Langholz, 2010. "A Semiparametric Missing-Data-Induced Intensity Method for Missing Covariate Data in Individually Matched Case–Control Studies," Biometrics, The International Biometric Society, vol. 66(3), pages 845-854, September.
    2. Samiran Sinha & Tapabrata Maiti, 2008. "Analysis of Matched Case–Control Data in Presence of Nonignorable Missing Exposure," Biometrics, The International Biometric Society, vol. 64(1), pages 106-114, March.
    3. Liu, Tianqing & Yuan, Xiaohui & Li, Zhaohai & Li, Yuanzhang, 2013. "Empirical and weighted conditional likelihoods for matched case-control studies with missing covariates," Journal of Multivariate Analysis, Elsevier, vol. 119(C), pages 185-199.
    4. Heng Chen & Daniel F. Heitjan, 2022. "Analysis of local sensitivity to nonignorability with missing outcomes and predictors," Biometrics, The International Biometric Society, vol. 78(4), pages 1342-1352, December.
    5. Jinbo Chen & Carmen Rodriguez, 2007. "Conditional Likelihood Methods for Haplotype-Based Association Analysis Using Matched Case–Control Data," Biometrics, The International Biometric Society, vol. 63(4), pages 1099-1107, December.
    6. Bhramar Mukherjee & Jaeil Ahn & Stephen B. Gruber & Malay Ghosh & Nilanjan Chatterjee, 2010. "Case–Control Studies of Gene–Environment Interaction: Bayesian Design and Analysis," Biometrics, The International Biometric Society, vol. 66(3), pages 934-948, September.
    7. Myunghee Cho Paik, 2004. "Nonignorable Missingness in Matched Case–Control Data Analyses," Biometrics, The International Biometric Society, vol. 60(2), pages 306-314, June.
    8. Inyoung Kim & Noah D. Cohen & Raymond J. Carroll, 2003. "Semiparametric Regression Splines in Matched Case-Control Studies," Biometrics, The International Biometric Society, vol. 59(4), pages 1158-1169, December.
    9. Samiran Sinha & Bhramar Mukherjee & Malay Ghosh, 2004. "Bayesian Semiparametric Modeling for Matched Case–Control Studies with Multiple Disease States," Biometrics, The International Biometric Society, vol. 60(1), pages 41-49, March.
    10. D'Alberto, R. & Targetti, S. & Schaller, L. & Bartolini, F. & Eichhorn, T. & Haltia, E. & Harmanny, K. & Le Gloux, F. & Nikolov, D. & Runge, T. & Vergamini, D. & Viaggi, D., 2024. "A European perspective on acceptability of innovative agri-environment-climate contract solutions," Land Use Policy, Elsevier, vol. 141(C).
    11. Jiang, Xianfeng & Packer, Frank, 2019. "Credit ratings of Chinese firms by domestic and global agencies: Assessing the determinants and impact," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 178-193.
    12. Xi Liu & Yiqiao Jin & Yifan Yang & Xiaoqing Pan, 2023. "Properties and Estimations of a Multivariate Folded Normal Distribution," Mathematics, MDPI, vol. 11(23), pages 1-15, December.
    13. Michail Tsagris & Christina Beneki & Hossein Hassani, 2014. "On the Folded Normal Distribution," Mathematics, MDPI, vol. 2(1), pages 1-17, February.
    14. Shuai Shao & Göran Kauermann, 2020. "Understanding price elasticity for airline ancillary services," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(1), pages 74-82, February.
    15. Fernández, D. & Arnold, R. & Pledger, S., 2016. "Mixture-based clustering for the ordered stereotype model," Computational Statistics & Data Analysis, Elsevier, vol. 93(C), pages 46-75.
    16. Shin Ji-Hyung & Infante-Rivard Claire & McNeney Brad & Graham Jinko, 2014. "A data-smoothing approach to explore and test gene-environment interaction in case-parent trios," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 13(2), pages 159-171, April.
    17. Thomas Yee & Alfian Hadi, 2014. "Row–column interaction models, with an R implementation," Computational Statistics, Springer, vol. 29(6), pages 1427-1445, December.
    18. Sinha, Samiran & Yoo, Seungyoon, 2013. "Score tests in the presence of errors in covariates in matched case-control studies," Journal of Multivariate Analysis, Elsevier, vol. 115(C), pages 157-171.
    19. Ioannis Kontoyiannis & Lambros Mertzanis & Athina Panotopoulou & Ioannis Papageorgiou & Maria Skoularidou, 2022. "Bayesian context trees: Modelling and exact inference for discrete time series," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1287-1323, September.
    20. Goedkoop, F. & Dijkstra, J. & Flache, A., 2022. "A social network perspective on involvement in community energy initiatives: The role of direct and extended social ties to initiators," Energy Policy, Elsevier, vol. 171(C).

    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:67:y:2011:i:2:p:546-558. 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.