## Us House Committee On Veterans’ Affairs Representation Effect On Number Of Compensated Veterans

Date: 12 September 2013 Statistical Analysis: US House Committee on Veterans’ Affairs Representation Effect on Number of Compensated Veterans US Veteran United States of America CC: US House Committee on Veterans’ Affairs; US Senate Committee on Veterans’ Affairs To Whom It May Concern: First, this paper appears long because of tables and graphs. Also, I am thankful that a MD with a PhD in statistics has helped me tweak my analysis for the better and verified my overall conclusions. Advocacy As a 100% schedular Total and Permanent disabled veteran, I have time to advocate for veterans. Sadly, I cannot work because of my illnesses, but I do put a lot of work into veteran advocacy. In addition to sending volumes of E-mails to US Congress, US President, my congressional representatives, and media, I hope to use some of my statistical knowledge as well. Since I have had some limited working experience with statistical analysis as a chemical engineer in the pharmaceutical industry, I have decided to apply my knowledge to veterans’ advocacy while learning new tools and methods too. Thankfully, “R” is open-source, powerful, useful, and free statistical software package[4]. Also, I have discovered that some statisticians are willing to share their valuable knowledge, which is something they are often paid. As an example, a MD with a PhD statistics recently suggested that I evaluate the current data with a linear mixed model, which I have learned to be quite powerful. Purpose I will not lie. The topics in this paper are complicated. I have spent considerable time on the topic of linear mixed modeling and have a basic understanding. I am not a mathematician or statistician. I believe my statistical outcomes are interesting. As mentioned, I think my statistical outcome, the average number of compensated veterans from the 26 congressional districts that make up the US House Committee on Veterans’ Affairs is not significantly different from the average number of compensated veterans from 26 randomly selected congressional districts, is interesting. Also, I will show that there is a very good linear fit between the logarithm of compensated veterans, congressional district population, and the logarithm of total veterans. Although congressional district population was initially included in the linear mixed model and the linear model, the reader will discover that congressional district population is not needed to model the average number of compensated veterans. In other words, my statistical analysis discovered...

Continue Reading