Hong Zhu, assistant professor in the Division of Biostatistics, has been selected to receive a Statistics in Epidemiology Young Investigator Award for her paper, "Inference on the bivariate survival data with interval sampling through Kendall's tau: testing and association measure."
This award honors the best papers from young investigators in the field of statistics and epidemiology presented at the Joint Statistical Meetings. Preference is given to papers with both methodological contributions and substantive epidemiological applications.
“It is very encouraging to be selected as an awardee of SIE Young Investigator Award,” Zhu said. “I will continue working on developing innovative statistical methods with significant application to epidemiology and public health.”
Bivariate survival data involves the analysis of two variables for the purpose of determining the relationship between them. Bivariate survival data with interval sampling arises frequently when disease surveillance systems commonly collect data with incidents of disease occurring within a calendar time interval.
Zhu’s paper develops nonparametric methods (techniques that do not rely on data belonging to any particular distribution) to reduce sampling bias and makes inference for such data via Kendall's Tau (a measure of correlation, and so measures the strength of the relationship between two variables) and its extension. The proposed methods are applied to Surveillance Epidemiology and End Results (SEER) ovarian cancer registry data to study the cancer progression.
The award will be presented at SIE’s Awards Reception on July 31 at the Joint Statistical Meetings in San Diego.