Home > Events > 2015 Seminars & Colloquia > ZHEYU WANG - Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine

ZHEYU WANG - Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine

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Finite mixture modeling for biomarker assessment without a gold standard
When
05 March 2015 from 4:00 PM to 5:00 PM
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Finite mixture models have long been utilized in mental/behavioral research to summarize constructs that are represented by multiple variables and are difficult to measure. It also had significant application and development in diagnostic medicine, which has been re-energized recently due to the advance in diagnostic techniques and the discovery of novel biomarkers. Accordingly, it is important to assess the accuracy of the diagnostic tests and evaluate new biomarkers. The assessment becomes difficult when the underlying medical condition, or the gold standard, is unknown due to time and cost constraints, lack of biotechnology, or concerns over the invasive nature of a diagnostic procedure. This issue is becoming more common and pressing with the growing interest and emphasis on preclinical diagnosis and prevention. Moreover, with the improvement in clinical practice, there is a need to go beyond traditional binary disease status and incorporate ordinal gold standard. There is also a need to include and examine patients’ characteristics that may affect disease prevalence or test performance. This talk will propose a finite mixture model to address these issues, discuss the identifiability of the proposed model and illustrate the approach in an Alzheimer’s disease data set.

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