Statistical Approaches to the Design of Toxicology Studies
Application of statistics to toxicological studies involves hypothesis testing, model fitting, and reduction of dimensionality. This unit reviews statistical approaches to data (i.e., descriptive statistics, experimental design, outliers and rounding of numbers, and specific applications) and includes a set of decision trees to assist in choosing the appropriate methods.
Figure 1.2.1 Overall decision tree for selecting statistical procedures. See Gad () for an explanation of the statistical methods.
Figure 1.2.3 Decision tree for selecting modeling procedures. See Gad () for an explanation of the statistical methods.
Figure 1.2.4 Decision tree for selecting reduction of dimensionality procedures. See Gad () for an explanation of the statistical methods.
Figure 1.2.5 Example of control chart used to prescreen (i.e., explore and identify influential) data from a portion of a functional observational battery.
Figure 1.2.6 Effective two‐dimensional visual display of three‐dimensional data. A correlative plot of a rabbit dermal study with white blood cell counts.
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