Most of the graduate students that were interested in this application were investigating whether mobile phone applications could make a person become aware of their health habits and find areas to improve their lifestyle. I paired up with PhD student Phil Adams and Post-Doc Eric P.S. Baumer and helped flush out some of the quantitative analyses necessary to provide insight into the effects of mobile phone applications and health.
Starting in Fall 2011 and throughout the Spring of 2012 I was analyzing most of the quantitative data along with Phil with mentoring and direction from Eric. Some of the prime analysis included the use of programs such as:
- R Statistical Package
- Rapid SQL
- Microsoft Excel (including some Macros)
With these programs I was able to use statistical methods such as:
- Model Selection
- Multiple Linear Regression
- Principle Component Analysis
- Kolmogrov-Smirnov Test
- General Statistical Data Mining
- Network/Graph Analysis
- Eigenvector Centrality
- In-degree / Out-degree
- Complex Graph Construction
In Fall 2012 I worked to help organize and enter scheduling information for Weill Cornell Medical College graduate students participating in a study that monitors the affect and moods of medical residents. In addition to this I worked with Jamie Guillory on a study relating to the lab’s newest release of the mobile application, Vera+.