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External Validation of Logistic Regression Models by Testing Homogeneity
澳门新葡8455最新网站:2013年05月30日 00:00 点击数:

报告人:林楠

报告地点:澳门新葡8455最新网站501室

报告澳门新葡8455最新网站:2013年05月30日星期四16:00-17:00

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报告摘要:

Logistic regression models are widely used in medical diagnosis and prognosis. After the model is established from a training set, it is important to externally validate it using a validation data set for potential changes between the population that the training set is from and that the validation set is from. Currently, Cox’s test combined with some recalibration and model revision techniques has been widely used. In this talk, we discuss an alternative approach based on a novel idea of testing homogeneity. Based on our proposed tests, in the model recalibration stage we can determine when to combine the training and validation data, which can not be decided from Cox’s test. With this new feature, the performance of our updated model outperforms that from existing methods based on Cox’s test. This advantage is demonstrated in the simulation study and the real data study.

主讲人概况:

Nan Lin(林楠), Ph.D., “东师学者”讲座教授 Associate Professor, Department of Mathematics, College of Arts & Sciences Division of Biostatistics, School of Medicine, Washington University in St. Louis

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