2010
DOI: 10.1007/s13253-010-0043-5
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Statistical Modelling of Neighbor Treatment Effects in Aquaculture Clinical Trials

Abstract: In the design of clinical trials involving fish observed over time in tanks, there may be advantages in housing several treatment groups within the same tank. In particular, such "within-tank" designs will be more efficient than designs with treatment groups in separate tanks when substantial between-tank variability is expected. One potential problem with within-tank designs is that it may not be possible to include all treatments in one tank; in statistical terms this means that the blocks (tanks) are incomp… Show more

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Cited by 2 publications
(3 citation statements)
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“…Browne et al (2001) applied a CMM model with a binary response to Danish poultry salmonella outbreak data. Masaoud et al (2011) fitted a CMM logistic regression model to a dataset from aquaculture. Goldstein et al (2002) introduced a linear response example of a multiple membership model for the milk yield of cows.…”
Section: Introductionmentioning
confidence: 99%
“…Browne et al (2001) applied a CMM model with a binary response to Danish poultry salmonella outbreak data. Masaoud et al (2011) fitted a CMM logistic regression model to a dataset from aquaculture. Goldstein et al (2002) introduced a linear response example of a multiple membership model for the milk yield of cows.…”
Section: Introductionmentioning
confidence: 99%
“…While the discussion of pre‐sampling and pre‐analytical best practices is beyond the scope for this review, we recommend the standardisation of all processes to minimise biases. Among extrinsic factors, we suggest the control of metabolic effects induced by culture parameters such as temperature and photoperiod, 131,215,216 dissolved oxygen, pH and salinity 217–219 and blocking for indoor tank studies 220,221 . Metabolic variations can be induced by experimental capture techniques (e.g.…”
Section: Research Themes In Salmon Metabolomicsmentioning
confidence: 99%
“…Among extrinsic factors, we suggest the control of metabolic effects induced by culture parameters such as temperature and photoperiod, 131,215,216 dissolved oxygen, pH and salinity [217][218][219] and blocking for indoor tank studies. 220,221 Metabolic variations can be induced by experimental capture techniques (e.g. crowding, scoop netting combined with sedation), while hooking and spiking are recommended to minimise metabolome biases.…”
Section: Areas For Improvement In Salmonid Metabolomicsmentioning
confidence: 99%