Details about Nicholas Jon Horton

Access statistics for papers by Nicholas Jon Horton.

Last updated 2025-01-07. Update your information in the RePEc Author Service.

Short-id: pho144

Working Papers

2007

1. Agony and ecstasy: teaching a computationally intensive introductory statistics course using Stata
   North American Stata Users' Group Meetings 2007, Stata Users Group

2005

2. Analysis of multiple source/multiple informant data in Stata
   North American Stata Users' Group Meetings 2005, Stata Users Group View citations (2)

2001

3. Fitting Generalized Estimating Equation (GEE) Regression Models in Stata
   North American Stata Users' Group Meetings 2001, Stata Users Group View citations (2)

Journal Articles

2022

1. Foundations of Statistics for Data Scientists: With R and Python
   Journal of the American Statistical Association, 2022, 117, (539), 1603-1604

2019

2. Enriching Students’ Conceptual Understanding of Confidence Intervals: An Interactive Trivia-Based Classroom Activity
   The American Statistician, 2019, 73, (1), 50-55 View citations (1)

2018

3. Wrangling Categorical Data in R
   The American Statistician, 2018, 72, (1), 97-104

2016

4. Discussion: Making Progress in a Crowded Market
   International Statistical Review, 2016, 84, (2), 179-181 View citations (1)

2015

5. Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward
   The American Statistician, 2015, 69, (2), 138-145 View citations (4)
6. Data Science in Statistics Curricula: Preparing Students to “Think with Data”
   The American Statistician, 2015, 69, (4), 343-353 View citations (5)
7. Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum
   The American Statistician, 2015, 69, (4), 259-265 View citations (5)

2014

8. Analysis of partially observed clustered data using generalized estimating equations and multiple imputation
   Stata Journal, 2014, 14, (4), 863-883 View citations (3)
9. Financial Knowledge among Educated Women: Room for Improvement
   Journal of Consumer Affairs, 2014, 48, (2), 403-417 View citations (32)

2013

10. I Hear, I Forget. I Do, I Understand: A Modified Moore-Method Mathematical Statistics Course
    The American Statistician, 2013, 67, (4), 219-228 View citations (1)

2011

11. Stata tip 95: Estimation of error covariances in a linear model
    Stata Journal, 2011, 11, (1), 145-148
12. The impact of different sources of body mass index assessment on smoking onset: An application of multiple-source information models
    Stata Journal, 2011, 11, (3), 386-402
13. Towards more accessible conceptions of statistical inference
    Journal of the Royal Statistical Society Series A, 2011, 174, (2), 247-295 View citations (3)

2008

14. Review of Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal
    Stata Journal, 2008, 8, (4), 579-582 View citations (1)

2007

15. Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models
    The American Statistician, 2007, 61, 79-90 View citations (46)
16. Relation between neighborhood median housing value and hypertension risk among black women in the United States
    American Journal of Public Health, 2007, 97, (4), 718-724 View citations (6)

2006

17. Multilevel and Longitudinal Modeling Using Stata. Sophia Rabe-Hesketh and Anders Skrondal
    The American Statistician, 2006, 60, 293-294 View citations (1)

2004

18. Use of R as a Toolbox for Mathematical Statistics Exploration
    The American Statistician, 2004, 58, 343-357 View citations (1)

2003

19. A Potential for Bias When Rounding in Multiple Imputation
    The American Statistician, 2003, 57, 229-232 View citations (20)
20. Onset of natural menopause in African American women
    American Journal of Public Health, 2003, 93, (2), 299-306

2002

21. 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, 2002, 51, (3), 281-295 View citations (1)

2001

22. Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information
    Biometrics, 2001, 57, (1), 34-42 View citations (2)
23. Multiple Imputation in Practice: Comparison of Software Packages for Regression Models With Missing Variables
    The American Statistician, 2001, 55, 244-254 View citations (48)
24. Using auxiliary data for parameter estimation with non‐ignorably missing outcomes
    Journal of the Royal Statistical Society Series C, 2001, 50, (3), 361-373 View citations (9)

Chapters

2008

1. Modelling Inequality with a Single Parameter
   Springer View citations (1)