Value of Information in Retrospect

Date:

Monday, 8 July 2019

Time:

10.00am – 11.00am

Venue:

Seminar Room 2, Level 8
Tahir Foundation Building (MD1)
Saw Swee Hock School of Public Health
National University of Singapore
12 Science Drive 2, S(117549)

Synopsis:

We develop new value of information methods to apply to the problems of outlier detection and influence analysis. The proposed method has a distinct advantage in flexibility and interpretability when compared to existing methods. We study the theoretical properties of three values of information quantities, establish the relationship between the proposed measures and classic measures, and illustrate our proposed approach using two data sets. The first data set contains employment rates and other economic factor is used to provide an example of how to apply the new value of information approach in the case of linear regression. The second data set provides information about HIV prevalence in Lesotho and is used to illustrate the use of a value of information approach to influence analysis in the case of a generalized linear mixed model.

About the speaker:

Dr Bao Le is an Associate Professor of Statistics and the associate director of center for advanced data assimilation and predictability techniques at Penn State University. Dr Bao also serves as the key technical advisor for the UNAIDS Reference Group, which advises on the methods for calculating international AIDS statistics, and as a core project team leader of the Diagnostics Modeling Consortium, which aims to use modeling to guide the effective use of diagnostic technologies in resource-poor settings. Dr Bao earned his PhD from the Department of Statistics at the University of Washington, Seattle. His research focuses on 1. using statistical models to address global health issues such as estimation of HIV epidemics, health indicators, age and cause specific child mortality; 2. developing fast algorithms for big data; 3. developing methods in categorical data analysis.
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