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Nicholas Jon Horton

Personal Details

First Name:Nicholas
Middle Name:Jon
Last Name:Horton
Suffix:
RePEc Short-ID:pho144
[This author has chosen not to make the email address public]
https://www.amherst.edu/people/facstaff/nhorton
Department of Mathematics and Statistics Amherst College PO Box 5000 Amherst, MA 01002-5000
Twitter: askdrstats

Affiliation

(95%) Department of Mathematics and Statistics

https://www.amherst.edu/academiclife/departments/mathematics
Amherst, MA
AC# 2239, Box 5000
413-585-2100

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Nicholas Jon Horton, 2007. "Agony and ecstasy: teaching a computationally intensive introductory statistics course using Stata," North American Stata Users' Group Meetings 2007 10, Stata Users Group.
  2. Nicholas Horton & Garrett Fitzmaurice, 2005. "Analysis of multiple source/multiple informant data in Stata," North American Stata Users' Group Meetings 2005 1, Stata Users Group.
  3. Nicholas Horton, 2001. "Fitting Generalized Estimating Equation (GEE) Regression Models in Stata," North American Stata Users' Group Meetings 2001 1.1, Stata Users Group.

Articles

  1. Nicholas J. Horton, 2022. "Foundations of Statistics for Data Scientists: With R and Python," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(539), pages 1603-1604, September.
  2. Xiaofei Wang & Nicholas G. Reich & Nicholas J. Horton, 2019. "Enriching Students’ Conceptual Understanding of Confidence Intervals: An Interactive Trivia-Based Classroom Activity," The American Statistician, Taylor & Francis Journals, vol. 73(1), pages 50-55, January.
  3. Amelia McNamara & Nicholas J. Horton, 2018. "Wrangling Categorical Data in R," The American Statistician, Taylor & Francis Journals, vol. 72(1), pages 97-104, January.
  4. Nicholas Jon Horton, 2016. "Discussion: Making Progress in a Crowded Market," International Statistical Review, International Statistical Institute, vol. 84(2), pages 179-181, August.
  5. Nicholas J. Horton, 2015. "Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward," The American Statistician, Taylor & Francis Journals, vol. 69(2), pages 138-145, May.
  6. J. Hardin & R. Hoerl & Nicholas J. Horton & D. Nolan & B. Baumer & O. Hall-Holt & P. Murrell & R. Peng & P. Roback & D. Temple Lang & M. D. Ward, 2015. "Data Science in Statistics Curricula: Preparing Students to “Think with Data”," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 343-353, November.
  7. Nicholas J. Horton & Johanna S. Hardin, 2015. "Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum," The American Statistician, Taylor & Francis Journals, vol. 69(4), pages 259-265, November.
  8. Mahnaz Mahdavi & Nicholas J. Horton, 2014. "Financial Knowledge among Educated Women: Room for Improvement," Journal of Consumer Affairs, Wiley Blackwell, vol. 48(2), pages 403-417, June.
  9. Kathryn M. Aloisio & Sonja A. Swanson & Nadia Micali & Alison Field & Nicholas J. Horton, 2014. "Analysis of partially observed clustered data using generalized estimating equations and multiple imputation," Stata Journal, StataCorp LP, vol. 14(4), pages 863-883, December.
  10. Nicholas J. Horton, 2013. "I Hear, I Forget. I Do, I Understand: A Modified Moore-Method Mathematical Statistics Course," The American Statistician, Taylor & Francis Journals, vol. 67(4), pages 219-228, November.
  11. C. J. Wild & M. Pfannkuch & M. Regan & N. J. Horton, 2011. "Towards more accessible conceptions of statistical inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(2), pages 247-295, April.
  12. Nicholas J. Horton, 2011. "Stata tip 95: Estimation of error covariances in a linear model," Stata Journal, StataCorp LP, vol. 11(1), pages 145-148, March.
  13. Maria Paola Caria & Rino Bellocco & Maria Rosaria Galanti & Nicholas J. Horton, 2011. "The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models," Stata Journal, StataCorp LP, vol. 11(3), pages 386-402, September.
  14. Nicholas J. Horton, 2008. "Review of Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal," Stata Journal, StataCorp LP, vol. 8(4), pages 579-582, December.
  15. Horton, Nicholas J. & Kleinman, Ken P., 2007. "Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models," The American Statistician, American Statistical Association, vol. 61, pages 79-90, February.
  16. Cozier, Y.C. & Palmer, J.R. & Horton, N.J. & Fredman, L. & Wise, L.A. & Rosenberg, L., 2007. "Relation between neighborhood median housing value and hypertension risk among black women in the United States," American Journal of Public Health, American Public Health Association, vol. 97(4), pages 718-724.
  17. Horton, Nicholas J., 2006. "Multilevel and Longitudinal Modeling Using Stata. Sophia Rabe-Hesketh and Anders Skrondal," The American Statistician, American Statistical Association, vol. 60, pages 293-294, August.
  18. Horton, Nicholas J. & Brown, Elizabeth R. & Qian, Linjuan, 2004. "Use of R as a Toolbox for Mathematical Statistics Exploration," The American Statistician, American Statistical Association, vol. 58, pages 343-357, November.
  19. Palmer, J.R. & Rosenberg, L. & Wise, L.A. & Horton, N.J. & Adams-Campbell, L.L., 2003. "Onset of natural menopause in African American women," American Journal of Public Health, American Public Health Association, vol. 93(2), pages 299-306.
  20. Horton N.J. & Lipsitz S.R. & Parzen M., 2003. "A Potential for Bias When Rounding in Multiple Imputation," The American Statistician, American Statistical Association, vol. 57, pages 229-232, November.
  21. Nicholas J. Horton & Garrett M. Fitzmaurice, 2002. "Maximum likelihood estimation of bivariate logistic models for incomplete responses with indicators of ignorable and non‐ignorable missingness," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(3), pages 281-295, July.
  22. Nicholas J. Horton & Nan M. Laird, 2001. "Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information," Biometrics, The International Biometric Society, vol. 57(1), pages 34-42, March.
  23. Joseph G. Ibrahim & Stuart R. Lipsitz & Nick Horton, 2001. "Using auxiliary data for parameter estimation with non‐ignorably missing outcomes," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(3), pages 361-373.
  24. Horton N. J. & Lipsitz S. R., 2001. "Multiple Imputation in Practice: Comparison of Software Packages for Regression Models With Missing Variables," The American Statistician, American Statistical Association, vol. 55, pages 244-254, August.

Chapters

  1. J. M. Henle & N. J. Horton & S. J. Jakus, 2008. "Modelling Inequality with a Single Parameter," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 14, pages 255-269, Springer.

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