Abstract
Many experiments require preliminary results in order to determine the best experimental design to fulfill the research objectives. Ranges of data values, sampling intervals and numbers of test subjects need to be determined before the experiment is conducted so that differences between treatments can be detected at the appropriate level of significance. Especially in radioisotope experiments where exposure and contamination need to be minimized, previous knowledge of experimental conditions can be invaluable in planning experiments. A model which represents current knowledge of the animal or system to be studied can be an important tool with which to identify appropriate experimental designs.
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Johnson, H.A., Calvert, C.C., Baldwin, R.L. (1998). Designing a Radioisotope Experiment Using a Dymamic, Mechanistic Model of Protein Turnover. In: Clifford, A.J., Müller, HG. (eds) Mathematical Modeling in Experimental Nutrition. Advances in Experimental Medicine and Biology, vol 445. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1959-5_22
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DOI: https://doi.org/10.1007/978-1-4899-1959-5_22
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