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Monthly data were collected for the presence or absence of trypanasomes in the blood, for packed blood cell volume and for body weight. Calvings, deaths, sales etc. were also recorded. The case study shows how, by programming in SAS, the monthly data were summarised into 6-monthly observational averages. These were then used as observational units by GenStat to calculate least squares means for each 6-month period. These least squares means were finally used in a simple statistical model to compare means in periods with and without tsetse control.
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