Literature DB >> 15694512

Statistical considerations for vaccine immunogenicity trials. Part 1: Introduction and bioassay design and analysis.

Brian D Plikaytis1, George M Carlone.   

Abstract

The foundation for any vaccine immunogenicity trial is the identification of appropriate correlates for protection and the measurement of these quantities with well-designed bioassays. An important requirement for developing bioassay protocols is the standardization of each procedure, so it is performed in a uniform manner within a facility and, in the case of multicenter trials, across laboratories. It is also crucial to recognize that the selection and use of techniques used to quantify assay endpoints (e.g., antibody concentration) will affect their accuracy and precision and these methods must also be defined and uniformly applied within and across laboratories. This paper discusses a number of methodological issues related to bioassay design and analysis that would ultimately lead to highly accurate assay endpoint determinations with minimum variance that would be comparable across laboratories. Guidelines are presented for the development of bioassay and data analysis protocols. Strengthening vaccine immunogenicity trial protocols will ensure that these quantities are estimated with the greatest degree of reliability and facilitate the subsequent evaluation of new vaccine formulations. Following these guidelines will give other researchers as well as regulatory authorities more confidence in evaluating and comparing the differences in immunogenicity levels elicited by new and developing vaccines.

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Year:  2005        PMID: 15694512     DOI: 10.1016/j.vaccine.2004.06.046

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  4 in total

1.  Robust Non-inferiority Tests for Potency of a Test Drug Against a Reference Drug: (To appear in Statistics in Biopharmaceutical Research ).

Authors:  Michael P Fay; Farzad Noubary; Allan Saul
Journal:  Stat Biopharm Res       Date:  2009-08-01       Impact factor: 1.452

2.  Generalized ROC methods for immunogenicity data analysis of vaccine phase I studies in a seropositive population.

Authors:  Li Yu; Mark T Esser; Judith Falloon; Tonya Villafana; Harry Yang
Journal:  Hum Vaccin Immunother       Date:  2018-07-12       Impact factor: 3.452

3.  Microproteinuria during Opisthorchis viverrini infection: a biomarker for advanced renal and hepatobiliary pathologies from chronic opisthorchiasis.

Authors:  Prasert Saichua; Paiboon Sithithaworn; Amar R Jariwala; David J Diemert; David J Deimert; Jiraporn Sithithaworn; Banchob Sripa; Thewarach Laha; Eimorn Mairiang; Chawalit Pairojkul; Maria Victoria Periago; Narong Khuntikeo; Jason Mulvenna; Jeffrey M Bethony
Journal:  PLoS Negl Trop Dis       Date:  2013-05-23

Review 4.  A guide to modern statistical analysis of immunological data.

Authors:  Bernd Genser; Philip J Cooper; Maria Yazdanbakhsh; Mauricio L Barreto; Laura C Rodrigues
Journal:  BMC Immunol       Date:  2007-10-26       Impact factor: 3.615

  4 in total

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