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Preventive veterinary medicine2009; 93(4); 316-323; doi: 10.1016/j.prevetmed.2009.11.009

Comparison of three alternative methods for analysis of equine Faecal Egg Count Reduction Test data.

Abstract: The Faecal Egg Count Reduction Test (FECRT) is the most widely used method of assessing the efficacy of anthelmintics, and is the only in vivo technique currently approved for use with horses. Equine Faecal Egg Count (FEC) data are frequently characterised by a low mean, high variability, small sample size and frequent zero count observations. Accurate analysis of the data therefore depends on the use of an appropriate statistical technique. Analyses of simulated FECRT data by methods based on calculation of the empirical mean and variance, non-parametric bootstrapping, and Markov chain Monte Carlo (MCMC) are compared. The MCMC method consistently outperformed the other methods, independently of the distribution from which the data were generated. Bootstrapping produced notional 95% confidence intervals containing the true parameter as little as 40% of the time with sample sizes of less than 50. Analysis of equine FECRT data yielded inconclusive results in 53 of 63 (84%) datasets, suggesting that the routine use of prior sample size calculations should be adopted to ensure sufficient data are collected. The authors conclude that computationally intensive parametric methods such as MCMC be used for analysis of FECRT data with sample sizes of less than 50, in order to avoid erroneous inference about the true efficacy of anthelmintics in the field.
Publication Date: 2009-12-03 PubMed ID: 19962203DOI: 10.1016/j.prevetmed.2009.11.009Google Scholar: Lookup
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  • Comparative Study
  • Journal Article

Summary

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The study compares three different statistical analysis methods for the Faecal Egg Count Reduction Test (FECRT) data in horses. The researchers find the Markov chain Monte Carlo method to be the most effective in these situations, especially when sample sizes are less than 50.

Introduction

  • The Faecal Egg Count Reduction Test (FECRT) is a common method for assessing the efficiency of anthelmintics, a type of drug used to expel parasitic worms, in horses. The test analyzes equine faecal egg count (FEC), which is often characterized by a low mean, high variability, small sample size, and frequent zero count observations. As such, accurate analysis of this data necessitates an appropriate statistical technique.

Methods Compared

  • In this research, three statistical analysis methods were compared: empirical mean and variance calculation, non-parametric bootstrapping, and Markov chain Monte Carlo (MCMC). The latter is a method for approximating the distribution of unknown parameters through simulation, which improves predictions based on observed data.

Outcomes

  • The results showed that the MCMC method consistently outperformed the other two methods, regardless of the distribution from which the data were generated.
  • Bootstrapping, another resampling technique, produced notional 95% confidence intervals that contained the true parameter only about 40% of the time when the sample sizes were less than 50.

Conclusions

  • Applying these methods to equine FECRT data, 84% of the datasets (53 out of 63) showed inconclusive results. This outcome suggests that prior sample size calculations should be routinely used to ensure that sufficient data is collected.
  • The authors concluded that computationally intensive parametric methods, like MCMC, should be used to analyze FECRT data when dealing with small sample sizes under 50. This would help to avoid misunderstandings about the true efficacy of anthelmintics.

Cite This Article

APA
Denwood MJ, Reid SW, Love S, Nielsen MK, Matthews L, McKendrick IJ, Innocent GT. (2009). Comparison of three alternative methods for analysis of equine Faecal Egg Count Reduction Test data. Prev Vet Med, 93(4), 316-323. https://doi.org/10.1016/j.prevetmed.2009.11.009

Publication

ISSN: 1873-1716
NlmUniqueID: 8217463
Country: Netherlands
Language: English
Volume: 93
Issue: 4
Pages: 316-323

Researcher Affiliations

Denwood, M J
  • Boyd Orr Centre for Population and Ecosystem Health, Institute of Comparative Medicine, Faculty of Veterinary Medicine, University of Glasgow, Glasgow, UK. m.denwood@vet.gla.ac.uk
Reid, S W J
    Love, S
      Nielsen, M K
        Matthews, L
          McKendrick, I J
            Innocent, G T

              MeSH Terms

              • Animals
              • Anthelmintics / therapeutic use
              • Feces / parasitology
              • Helminthiasis, Animal / drug therapy
              • Helminthiasis, Animal / epidemiology
              • Horse Diseases / drug therapy
              • Horses
              • Netherlands / epidemiology
              • Parasite Egg Count / methods
              • Parasite Egg Count / veterinary

              Citations

              This article has been cited 12 times.
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