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Analysing direct effects in randomized trials with secondary interventions: an application to human immunodeficiency virus prevention trials

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  • Michael Rosenblum
  • Nicholas P. Jewell
  • Mark van der Laan
  • Stephen Shiboski
  • Ariane van der Straten
  • Nancy Padian

Abstract

Summary. The ‘Methods for improving reproductive health in Africa’ trial is a recently completed randomized trial that investigated the effect of diaphragm and lubricant gel use in reducing infection by the human immunodeficiency virus (HIV) among susceptible women. 5045 women were randomly assigned to either the active treatment arm or not. Additionally, all subjects in both arms received intensive condom counselling and provision, the ‘gold standard’ HIV prevention barrier method. There was much lower reported use of condoms in the intervention arm than in the control arm, making it difficult to answer important public health questions based solely on the intention‐to‐treat analysis. We adapt an analysis technique from causal inference to estimate the ‘direct effects’ of assignment to the diaphragm arm, adjusting for use of condoms in an appropriate sense. Issues raised in the trial apply to other trials of HIV prevention methods, some of which are currently being conducted or designed.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:jorssa:v:172:y:2009:i:2:p:443-465
    DOI: 10.1111/j.1467-985X.2009.00585.x
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    References listed on IDEAS

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    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. van der Laan Mark J. & Rubin Daniel, 2006. "Targeted Maximum Likelihood Learning," The International Journal of Biostatistics, De Gruyter, vol. 2(1), pages 1-40, December.
    3. Mantell, Joanne E. & Myer, Landon & Carballo-Diéguez, Alex & Stein, Zena & Ramjee, Gita & Morar, Neetha S. & Harrison, Polly F., 2005. "Microbicide acceptability research: current approaches and future directions," Social Science & Medicine, Elsevier, vol. 60(2), pages 319-330, January.
    4. James M. Robins & Dianne M. Finkelstein, 2000. "Correcting for Noncompliance and Dependent Censoring in an AIDS Clinical Trial with Inverse Probability of Censoring Weighted (IPCW) Log-Rank Tests," Biometrics, The International Biometric Society, vol. 56(3), pages 779-788, September.
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    Cited by:

    1. Jouni Kuha & John H. Goldthorpe, 2010. "Path analysis for discrete variables: the role of education in social mobility," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 351-369, April.
    2. Jean‐Louis Arcand & Eric Djimeu Wouabe, 2010. "Teacher training and HIV/AIDS prevention in West Africa: regression discontinuity design evidence from the Cameroon," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 36-54, September.
    3. Stijn Vansteelandt & Tyler J. VanderWeele, 2012. "Natural Direct and Indirect Effects on the Exposed: Effect Decomposition under Weaker Assumptions," Biometrics, The International Biometric Society, vol. 68(4), pages 1019-1027, December.

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