The Eighth Notice of ROSE seminar of School of Statistics and Applied Mathematics, Anhui University of Finance and Economics (with agenda arrangement)
Date: 2018-11-01 Views: 13

Anhui University of Finance and Economics College of Statistics and Applied Mathematics ROSE seminar (Research on Statistics and Econometrics seminar, statistics and econometrics seminar) High-level academic papers with meaningful, novel stories, innovative methods, and rigorous demonstrations. The academic exchange platform aims to improve the professional level of academic and domestic economic statistics and econometricians.

The eighth session of ROSE Seminar was held from 8:30 am to 11:30 am on November 6, 2018. The Seminar invited Dr. Wei Yinghui, a doctoral supervisor of the Department of Statistics of the University of Plymouth, to make a special report. The title of the report is as follows. Teachers and students inside and outside the school are welcome to attend exchange discussions.

Meeting time: November 6, 2018 (Tuesday) 8: 30-11: 00

Venue: Room 304, Bowen Building, Anhui University of Finance and Economics




Time

Title

8:30-9:45

Title: Study Abroad Guidance of University of Plymouth

reporter: Dr. Wei Yinghui









10:00-11:00

Title: Survival analysis:   from individual level data to aggregate data

reporter: Dr. Wei Yinghui

Abstract: In this talk, We will discuss the use of difference in restricted mean survival time as an alternative measure to hazard ratio in survival analysis. Examples will be given to illustrate the use of restricted mean survival time in individual study. In aggregate data meta-analyses of survival outcomes from multiple studies, an essential step is to extract the estimated effect measures and their variances from publications. We develop a tool to convert the published Kalan-Meier curves to survival data at individual level, which contain the event indicator as well as the time to event for each individual. The reconstructed data open the possibility to estimate the hazard ratios and the difference in restricted mean survival time, and hence enable the use of these measures in aggregate meta-analyses of time-to-event outcome.