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Abstract:
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Tumor xenografts study has an important role in assessment of anti-tumor agents. Traditionally, tumor growth and animal survival are the main approaches in assessment for subcutaneous tumor xenografts. For intra-peritoneal tumor xenografts, survival was the main approach for assessment. With rapid growth in small animal imaging techniques, tumor growth becomes as important as survival in assessment. However, comparing tumor growth between treatment groups is challenging when there are heterogeneous response-dependent right-censoring, such as animal dies due to rapidly growing large tumor or animal is sacrificed due to large tumor. Linear random effects with censoring probability, conditional linear model, and some non-parametric or semi-parametric approaches have been proposed in the past. A simple and straightforward test statistic based on area under growth curve is proposed.
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