Daniel Liden is the Director of Data Analytics at the Guinn Center for Policy Priorities in Las Vegas, Nevada. In this role, he is responsible for conducting data-driven policy analysis and for supporting ongoing research and data analysis at the Guinn Center. Mr. Liden received his B.A. in the History of Science at the University of Chicago. Following this, he worked for several years for Context Matters, Inc., a data analysis company focused on global pharmaceutical reimbursement policies and data. While working at Context Matters, Mr. Liden wrote extensively about drug pricing and reimbursement practices. He went on to receive an M.S. in Statistics from the University of Minnesota, Twin Cities. His thesis work comprised a simulation-based comparison of statistical tests for heterogeneity of risk difference between patient subgroups in clinical trials. Prior to starting at the Guinn Center, Mr. Liden was a graduate research fellow in the Data Science for the Public Good program at the Biocomplexity Institute of Virginia Tech. Mr. Liden also worked on a variety of projects for for-profit and nonprofit organizations as a statistics and data science consultant.
This site will serve several functions:
- personal reference
- place for me to post some short statistics and data science projects
- place for me to post some short writings about the history of computing, history of statistics, etc.
This site uses the xmin Hugo theme by Yihui Xie. The source code is on GitHub.