I have developed statistical models and tools for tracking all-cause mortality and estimating excess mortality. This is to support the COVID-19 pandemic response. These tools are being used by the World Health Organization (WHO). The software has two components: a graphical user interface to the underlying statistical techniques, and the techniques themselves. Here is the resulting WHO all cause of mortality and excess death calculator. Using the Shiny framework, I built an application that runs in a web browser and gives the user access to powerful visualization, analysis and modeling of All Cause mortality and Excess Death statistics, without requiring software installation or knowledge of programming in R. The software is open-source and does not require an internet connection to use. Details are on the github site. Details of the statistical methodology are available here and in the associated publication.
We propose a log-linear model to assess the consistency of ego reports of dyadic outcomes. We do so specifically in the context where males and females report on shared events, and we demonstrate how inconsistencies can be assessed by using a …
The promise of upward mobility—the notion that everyone has the chance to get ahead—is one of this country's most cherished ideals, a hallmark of the American Dream. But in today's volatile labor market, the tradition of upward mobility for all may …
Why Should We Care about Income Inequality? Increasing income inequality, particularly the increasing gap between those at the top and those at the bottom of the income distribution, tends to play out at both the national and local levels. Inequality …