Nathaniel L Baker, M.S.

Research Instructor

Department of Public Health Sciences

Medical University of South Carolina

Charleston, SC

An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem. ~John Tukey

All those who drink of this remedy recover in a short time, except those whom it does not help, who die. Therefore, it is obvious that it fails only in incurable cases. ~Galen (c. 100 A.D.)

Professional Profile:

I am currently a research biostatistician within the Department of Public Health Sciences. The Department is housed within the College of Medicine at the Medical University of South Carolina in Charleston. I completed my undergraduate degree at Augusta State University where I earned a Bachelor of Science in Mathematics with Minor work in Chemistry (2005). In the time between my undergraduate and graduate work, I taught High School Mathematics at Hephzibah High School in Hephzibah, Georgia. I followed teaching by completing my Master of Science in Biostatistics from the Medical College of Georgia (2008). My Masters thesis was completed under the guidance of Varghese George, PhD. I am currently working across multiple departments to which I have the opportunity to participate in various research projects across multiple scientific disciplines. My current collaborations include work within endocrinology, clinical neuroscience, as well as radiology.

My research interests include statistical modeling of correlated data and statistical graphic techniques and their application to macro and micro vascular complications in type I diabetic patients. I am additionally working on statistical methods to analyze addictive behavior data and responses to drug taking cues.



Contact Information:

Address: Nathan Baker
	 135 Cannon Street Suite 303 
         Charleston SC 29425
Phone:   843-792-5028 
Email:   bakern@musc.edu 

Curriculum Vitae
Pubmed
Research Gate
Family

Presentations:

Jittering in SAS From SESUG 2009
Proc Gplot Introduction to SAS Proc Gplot from January 2011
Coronary Artery Calcification Analysis of Coronary Artery Calcification: Modeling Considerations from March 2011


Links:

MUSC DPHS Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC
HSSC Health Sciences South Carolina
SESUG SouthEast SAS Users Group
ASA American Statistical Association