Nicholas Horton received his doctorate in Biostatistics, with minors in Psychosocial Comorbidity and Theoretical Statistics from the Harvard School of Public Health in 1999. He is an Associate Professor of Mathematics and Statistics at Smith College in Northampton, Massachusetts. His research interests are in longitudinal regression models and missing data methods (with applications in psychiatric epidemiology and substance abuse research) as well as statistics education.
Nick has also been active in a project to develop methods to combine information from multiple source or informant reports. Along with students at Smith, he undertook a review of statistical methods used in the medical literature, and the implications of this increasing sophistication on statistical and medical education.
He collaborates with researchers at Harvard University, Boston Medical Center, University of Washington, Thomas Jefferson University, University of Newcastle (Australia), Karolinska Institute, University of Auckland, Yale and with projects in Tanzania and Russia, and was formerly the statistician for the Black Women's Health Project. Nick regularly serves as a reviewer for the NIH, NSF and DOE.
Nick serves as an associate editor for CHANCE, the Journal of Statistics Education, and the International Statistical Review. He has co-authored more than 100 papers in the statistical methodology, clinical research, health services and statistical education research literature, as well as three books on R and SAS.