Nicholas J Horton Author of Evaluating Organization Development
FEATURED AUTHOR

Nicholas J Horton

Professor of Statistics
Amherst College

Nicholas Horton is Professor of Statistics at Amherst College, with methodologic research interests in longitudinal regression models, missing data methods, and statistical computing. He is a member of the National Academies of Sciences Committee on Applied and Theoretical Statistics and two NAS studies on data science education.

Biography

Nicholas Horton is Professor of Statistics at Amherst College, with methodologic research interests in longitudinal regression models, missing data methods, and statistical computing.  He graduated from from the Harvard TH Chan School of Public Health in 1999.  Nick received the ASA's Waller Education Award in 2009, the William Warde Mu Sigma Rho Education Award in 2014, and the MAA Hogg Award for Excellence in Teaching in 2015.  He has published more than 150 papers, co-authored a series of four books on statistical computing and data science, and was co-PI on the NSF funded MOSAIC project. Nick is a Fellow of the ASA, served as a member of the ASA Board, chairs the Committee of Presidents of Statistical Societies and is the past-chair of the ASA Section on Statistical Education.  He is a member of the National Academies of Sciences Committee on Applied and Theoretical Statistics and two NAS studies on data science education.

Education

    ScD Biostatistics (1999), Harvard School of Public Health

Websites

Books

Featured Title
 Featured Title - Modern Data Science with R - 1st Edition book cover

Articles

The American Statistician

Teaching the Next Generation of Statistics Students to “Think With Data”


Published: May 11, 2017 by The American Statistician
Authors: Nicholas J Horton and Johanna S Hardin

This is an exciting time to be a statistician. The contribution of the discipline of statistics to scientific knowledge is widely recognized with increasingly positive public perception. Many feel “daunted by the challenge of extracting understanding from floods of disconnected data that threaten to swamp every discipline”.