Literature DB >> 2277881

Quantifying misclassification bias in cohort studies of vaccine efficacy.

C P Farrington1.   

Abstract

A simple mathematical model is presented to quantify the bias due to misclassification in prospective cohort studies of vaccine efficacy. Limitations of methods based on quantifying misclassification in 2 x 2 tables are discussed. The model is applied to data from three examples of the design and analysis of studies of pertussis vaccine efficacy.

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Year:  1990        PMID： 2277881     DOI： 10.1002/sim.4780091110

Source DB:  PubMed          Journal:  Stat Med        ISSN： 0277-6715            Impact factor:   2.373


  4 in total

Review 1.  Vaccine trials.

Authors:  C P Farrington; E Miller
Journal:  Mol Biotechnol       Date:  2001-01       Impact factor: 2.695

Review 2.  The pertussis enigma: reconciling epidemiology, immunology and evolution.

Authors:  Matthieu Domenech de Cellès; Felicia M G Magpantay; Aaron A King; Pejman Rohani
Journal:  Proc Biol Sci       Date:  2016-01-13       Impact factor: 5.349

3.  Uses of pathogen detection data to estimate vaccine direct effects in case-control studies.

Authors:  Joseph A Lewnard
Journal:  J R Soc Interface       Date:  2020-08-12       Impact factor: 4.118

4.  Using a fingerprint recognition system in a vaccine trial to avoid misclassification.

Authors: 
Journal:  Bull World Health Organ       Date:  2007-01       Impact factor: 9.408
  4 in total

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