Avoiding Pitfalls in the Statistical Analysis of Heterogeneous Tumors.
作者： David E. Axelrod , Naomi Miller , Judith-Anne W. Chapman
DOI: 10.4137/BII.S2222
关键词:
摘要: Information about tumors is usually obtained from a single assessment of tumor sample, performed at some point in the course development and progression tumor, with patient characteristics being surrogates for natural history context. Differences between cells within individual (intratumor heterogeneity) different patients (intertumor may mean that small sample not representative as whole, particularly solid which are focus this paper. This issue increasing importance high-throughput technologies generate large multi-feature data sets areas genomics, proteomics, image analysis. Three potential pitfalls statistical analysis discussed (sampling, cut-points, validation) suggestions made how to avoid these pitfalls.
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