IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v59y2003i3p531-541.html
   My bibliography  Save this article

Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials

Author

Listed:
  • Peter B. Gilbert
  • Ronald J. Bosch
  • Michael G. Hudgens

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter B. Gilbert & Ronald J. Bosch & Michael G. Hudgens, 2003. "Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials," Biometrics, The International Biometric Society, vol. 59(3), pages 531-541, September.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:3:p:531-541
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/1541-0420.00063
    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. Constantine E. Frangakis & Donald B. Rubin, 2002. "Principal Stratification in Causal Inference," Biometrics, The International Biometric Society, vol. 58(1), pages 21-29, March.
    2. Gary J. Nabel, 2001. "Challenges and opportunities for development of an AIDS vaccine," Nature, Nature, vol. 410(6831), pages 1002-1007, April.
    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. Peter Gilbert & Ronald Bosch & Michael Hudgens, 2004. "Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials," UW Biostatistics Working Paper Series 1031, Berkeley Electronic Press.
    2. Bryan E. Shepherd & Peter B. Gilbert & Yannis Jemiai & Andrea Rotnitzky, 2006. "Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post-Randomization, Conditional on Covariates, with Application to HIV Vaccine Trials," Biometrics, The International Biometric Society, vol. 62(2), pages 332-342, June.
    3. Michael R. Elliott & Anna Conlon & Yun Li, 2013. "Discussion on “Surrogate Measures and Consistent Surrogates”," Biometrics, The International Biometric Society, vol. 69(3), pages 565-569, September.
    4. Ying Huang & Shibasish Dasgupta, 2019. "Likelihood-Based Methods for Assessing Principal Surrogate Endpoints in Vaccine Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 504-523, December.
    5. John Engberg & Dennis Epple & Jason Imbrogno & Holger Sieg & Ron Zimmer, 2014. "Evaluating Education Programs That Have Lotteried Admission and Selective Attrition," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 27-63.
    6. Rachel Axelrod & Daniel Nevo, 2023. "A sensitivity analysis approach for the causal hazard ratio in randomized and observational studies," Biometrics, The International Biometric Society, vol. 79(3), pages 2743-2756, September.
    7. Dean Follmann, 2006. "Augmented Designs to Assess Immune Response in Vaccine Trials," Biometrics, The International Biometric Society, vol. 62(4), pages 1161-1169, December.
    8. G. Baker Stuart & S. Lindeman Karen, 2013. "Revisiting a Discrepant Result: A Propensity Score Analysis, the Paired Availability Design for Historical Controls, and a Meta-Analysis of Randomized Trials," Journal of Causal Inference, De Gruyter, vol. 1(1), pages 51-82, June.
    9. Bubb, Ryan & Kaufman, Alex, 2014. "Securitization and moral hazard: Evidence from credit score cutoff rules," Journal of Monetary Economics, Elsevier, vol. 63(C), pages 1-18.
    10. Eduardo Fé, 2021. "Pension eligibility rules and the local causal effect of retirement on cognitive functioning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 812-841, July.
    11. German Blanco & Carlos A. Flores & Alfonso Flores-Lagunes, 2013. "Bounds on Average and Quantile Treatment Effects of Job Corps Training on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 48(3), pages 659-701.
    12. Michael Rosenblum & Nicholas P. Jewell & Mark van der Laan & Stephen Shiboski & Ariane van der Straten & Nancy Padian, 2009. "Analysing direct effects in randomized trials with secondary interventions: an application to human immunodeficiency virus prevention trials," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 443-465, April.
    13. Jierui Du & Gao Wen & Xin Liang, 2024. "Estimating the Complier Average Causal Effect with Non-Ignorable Missing Outcomes Using Likelihood Analysis," Mathematics, MDPI, vol. 12(9), pages 1-16, April.
    14. Shuxi Zeng & Fan Li & Peng Ding, 2020. "Is being an only child harmful to psychological health?: Evidence from an instrumental variable analysis of China's One-Child Policy," Papers 2005.09130, arXiv.org, revised Jun 2020.
    15. Choi, Byeong Yeob & Lee, Jae Won, 2019. "The isotonic regression approach for an instrumental variable estimation of the potential outcome distributions for compliers," Computational Statistics & Data Analysis, Elsevier, vol. 139(C), pages 134-144.
    16. Jincheng Zhou & James S. Hodges & Haitao Chu, 2020. "Rejoinder to “CACE and meta‐analysis (letter to the editor)” by Stuart Baker," Biometrics, The International Biometric Society, vol. 76(4), pages 1385-1389, December.
    17. Soojin Park & Gregory J. Palardy, 2020. "Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions," Journal of Educational and Behavioral Statistics, , vol. 45(4), pages 475-506, August.
    18. Laura Forastiere & Patrizia Lattarulo & Marco Mariani & Fabrizia Mealli & Laura Razzolini, 2021. "Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 244-258, January.
    19. Plamen Nikolov & Hongjian Wang & Kevin Acker, 2020. "Wage premium of Communist Party membership: Evidence from China," Pacific Economic Review, Wiley Blackwell, vol. 25(3), pages 309-338, August.
    20. Jennifer Hill & Jane Waldfogel & Jeanne Brooks-Gunn, 2002. "Differential effects of high-quality child care," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 601-627.

    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:59:y:2003:i:3:p:531-541. 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.