Biology, models, and the analysis of tumor xenograft experiments

Daniel F. Heitjan

doi:10.1158/1078-0432.CCR-10-3279

Biology, models, and the analysis of tumor xenograft experiments

Daniel F. Heitjan

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Advances in statistical modeling and analysis technology have improved our ability to derive valid inferences from tumor xenograft experiments. Further challenges in this area include the modeling of intertumor heterogeneity and the development of robust statistical models that describe key parameters in the underlying tumor biology.

Original language	English (US)
Pages (from-to)	949-951
Number of pages	3
Journal	Clinical Cancer Research
Volume	17
Issue number	5
DOIs	https://doi.org/10.1158/1078-0432.CCR-10-3279
State	Published - Mar 1 2011

ASJC Scopus subject areas

Oncology
Cancer Research

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10.1158/1078-0432.CCR-10-3279

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abstract = "Advances in statistical modeling and analysis technology have improved our ability to derive valid inferences from tumor xenograft experiments. Further challenges in this area include the modeling of intertumor heterogeneity and the development of robust statistical models that describe key parameters in the underlying tumor biology.",

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Biology, models, and the analysis of tumor xenograft experiments

Abstract

ASJC Scopus subject areas

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