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For in vitro experiments, StatView (SAS Institute, Cary, NC) software was used for statistical analysis. Multiple group data were analyzed using analysis of variance followed by post hoc analysis with Fisher’s PLSD test. The unpaired Student’s t-test was used to compare experiments with two groups.
Values were considered significant at P < 0.05. The animal tumor data for each treatment group were analyzed using SAS® Proc MIXED (SAS Institute). Data measured on animals that did not survive the entire experiment were not included in statistical analyses. A random coefficients model was fit to the data to model the linear relationships between tumor size and time after injection for each treatment group and to make comparisons among rates of tumor growth and average tumor size at specific times.
Correlation among the weekly measured tumor sizes in each animal was modeled using a Toeplitz covariance structure with heterogeneous variances to accurately represent the increasing variation in tumor size relative to time. Only prespecified comparisons were conducted, using no more than the total of five degrees of freedom available for comparing treatment group means without risking inflation of the Type I error (P = 0.05).
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