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A Bayesian approach to uncertainty analysis of sexually transmitted infection models
  1. Leigh F Johnson1,
  2. Leontine Alkema2,
  3. Rob E Dorrington1
  1. 1Centre for Actuarial Research, University of Cape Town, Rondebosch, Cape Town, South Africa
  2. 2Department of Statistics and Applied Probability, National University of Singapore, Singapore
  1. Correspondence to Dr Leigh Johnson, Centre for Actuarial Research, University of Cape Town, Private Bag X3, Rondebosch 7701, South Africa; leigh.johnson{at}uct.ac.za

Footnotes

  • Funding This work was partly funded by a seed grant from the Center for Statistics and the Social Sciences at the University of Washington, and by the National Institute of Child Health and Development through grant no R01 HD054511. The funders did not participate in the study design, analysis and interpretation of data, writing of the paper, or the decision to submit the paper for publication.

  • Competing interests None.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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Footnotes

  • Funding This work was partly funded by a seed grant from the Center for Statistics and the Social Sciences at the University of Washington, and by the National Institute of Child Health and Development through grant no R01 HD054511. The funders did not participate in the study design, analysis and interpretation of data, writing of the paper, or the decision to submit the paper for publication.

  • Competing interests None.

  • Provenance and peer review Not commissioned; externally peer reviewed.

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