Nicholas Horton
Nicholas Horton is an American statistics professor and author. Horton works at Amherst College.[1]
Education
Horton attended Harvard College for his undergraduate degree and the Harvard School of Public Health for his graduate degree.[1]
Work
Horton has written multiple books focusing on R and SAS.[1][2] He is also a prolific author in the fields of statistics education and missing data. He is one of the authors of the GAISE guidelines.[3] With Ben Baumer and Daniel Kaplan, he is the author of Modern Data Science with R.[4] Other notable works include:
- Normal Sexual Dimorphism of the Adult Human Brain Assessed by In Vivo Magnetic Resonance Imaging [5]
- Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models[6]
Awards
Fellow of the American Statistical Association.[7]
Fellow of the American Association for the Advancement of Science.[8]
References
- ^ a b c "Horton, Nicholas J. | Faculty & Staff | Amherst College". www.amherst.edu. Retrieved 2021-04-05.
- ^ Kleinman, Ken (2014). SAS and R : data management, statistical analysis, and graphics. Nicholas J. Horton (2nd ed.). Boca Raton. ISBN 978-1-4665-8450-1. OCLC 881692641.
{{cite book}}: CS1 maint: location missing publisher (link) - ^ "Guidelines for Assessment and Instruction in Statistics Education Reports". www.amstat.org. Retrieved 2021-05-17.
- ^ Baumer, Benjamin S. (2021). Modern data science with R. Daniel T. Kaplan, Nicholas J. Horton (2nd ed.). Boca Raton. ISBN 978-0-367-19149-8. OCLC 1245354400.
{{cite book}}: CS1 maint: location missing publisher (link) - ^ Goldstein, Jill M.; Seidman, Larry J.; Horton, Nicholas J.; Makris, Nikos; Kennedy, David N.; Caviness, Verne S., Jr; Faraone, Stephen V.; Tsuang, Ming T. (2001-06-01). "Normal Sexual Dimorphism of the Adult Human Brain Assessed by In Vivo Magnetic Resonance Imaging". Cerebral Cortex. 11 (6): 490–497. doi:10.1093/cercor/11.6.490. ISSN 1047-3211.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Horton, Nicholas J.; Kleinman, Ken P. (2007-02-01). "Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models". The American statistician. 61 (1): 79–90. doi:10.1198/000313007X172556. ISSN 0003-1305. PMC 1839993. PMID 17401454.
- ^ "American Statistical Association Names 48 Fellows for 2012". PRWeb. Retrieved 2021-04-05.
- ^ "2017 AAAS Fellows Recognized for Advancing Science | American Association for the Advancement of Science". www.aaas.org. Retrieved 2021-04-05.
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