Literature DB >> 11695417

Use of repeated measure linear modeling to analyze longitudinal data from experimental parasite infections.

S Paterson1.   

Abstract

Here the use of repeated measure linear modeling to analyze experimental infections is demonstrated. This method of analysis makes full use of serial measurements on the same host throughout the course of an infection while taking into account correlations between measures within the same host. As an example, repeated measure linear modeling is used to analyze worm output from an experimental infection of Strongyloides ratti, a nematode parasite of rats. This analysis allows differences in the temporal dynamics of infection of two lines of S. ratti to be dissected.

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Year:  2001        PMID: 11695417     DOI: 10.1645/0022-3395(2001)087[0969:UORMLM]2.0.CO;2

Source DB:  PubMed          Journal:  J Parasitol        ISSN: 0022-3395            Impact factor:   1.276


  2 in total

1.  Functional consequences of genetic diversity in Strongyloides ratti infections.

Authors:  S Paterson; M E Viney
Journal:  Proc Biol Sci       Date:  2003-05-22       Impact factor: 5.349

2.  Experimental evolution of parasite life-history traits in Strongyloides ratti (Nematoda).

Authors:  Steve Paterson; Rebecca Barber
Journal:  Proc Biol Sci       Date:  2007-06-22       Impact factor: 5.349

  2 in total

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