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A Bootstrap approach to estimate reference intervals of biochemical variables in sheep using reduced sample sizes

Dimauro, Corrado and Macciotta, Nicolò Pietro Paolo and Rassu, Salvatore Pier Giacomo and Patta, Cristiana and Pulina, Giuseppe (2009) A Bootstrap approach to estimate reference intervals of biochemical variables in sheep using reduced sample sizes. Small Ruminant Research, Vol. 83 (1-3), p. 34-41. ISSN 0921-4488. Article.

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DOI: 10.1016/j.smallrumres.2009.03.004

Abstract

Laboratory analyses represent a key element in veterinary medicine diagnosis providing objective information about the health status of a patient. Analytic data are interpreted by comparing them with a specific reference intervals previously determined on a reference population of healthy animals. The International Federation of Clinical Chemistry recommends the use of nonparametric methods and, as a consequence, a reference sample of at least 120 healthy subjects, to obtain reliable reference intervals. Such order of magnitude for the reference sample is not always feasible especially if the laboratory variable under study is affected by several sources of variation, e.g., environmental conditions, physiological status of the animal, age, or gender. A convenient method to estimate reference intervals should be able to avoid assumptions on the probability distribution of the considered variable and produce robust results even with a limited sample size.
This study presents a new statistical approach, based on data bootstrap, to estimate reference intervals for 12 blood biochemical variables in Sarda dairy sheep. The method was applied to real and simulated data from 120 to 40 animals. The reference intervals calculated with the new method remained quite constant as sample size decreased from 120 down to 60 animals, and became wider with fewer individuals. So, a minimum threshold of 60 animals could be considered a good limit to obtain reliable reference intervals for blood biochemical variables in Sarda dairy sheep. Moreover, comparisons between results from real and simulated data suggested that the method could be also applied to other laboratory variables.

Item Type:Article
ID Code:3649
Status:Published
Refereed:Yes
Uncontrolled Keywords:Bootstrap, biochemical variable, reference interval, sample size, sheep
Subjects:Area 07 - Scienze agrarie e veterinarie > AGR/17 Zootecnica generale e miglioramento genetico
Area 07 - Scienze agrarie e veterinarie > AGR/19 Zootecnica speciale
Divisions:001 Università di Sassari > 01 Dipartimenti > Scienze zootecniche
002 Altri enti e centri di ricerca del Nord Sardegna > Istituto zooprofilattico sperimentale della Sardegna, Sassari
002 Altri enti e centri di ricerca del Nord Sardegna > AGRIS Sardegna, Olmedo
Publisher:Elsevier
ISSN:0921-4488
Deposited On:26 Mar 2010 22:41

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