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Publications

by alumni of

Harvard University → Harvard T. H. Chan School of Public Health → Department of Health Policy and Management

These are publications listed in RePEc written by alumni of the above institution who are registered with the RePEc Author Service and listed in the RePEc Genealogy. List of alumni. For a list of publications by current members of the department, see here. Register yourself.

This page is updated in the first days of each month.

| Working papers | Journal articles | Chapters |

Working papers

2007

  1. Nicholas Jon Horton, 2007, "Agony and ecstasy: teaching a computationally intensive introductory statistics course using Stata," North American Stata Users' Group Meetings 2007, Stata Users Group, number 10, Aug.

2005

  1. Nicholas Horton & Garrett Fitzmaurice, 2005, "Analysis of multiple source/multiple informant data in Stata," North American Stata Users' Group Meetings 2005, Stata Users Group, number 1, Jul.

2001

  1. Nicholas Horton, 2001, "Fitting Generalized Estimating Equation (GEE) Regression Models in Stata," North American Stata Users' Group Meetings 2001, Stata Users Group, number 1.1, Jan.

Journal articles

2022

  1. Nicholas J. Horton, 2022, "Foundations of Statistics for Data Scientists: With R and Python," Journal of the American Statistical Association, Taylor & Francis Journals, volume 117, issue 539, pages 1603-1604, September, DOI: 10.1080/01621459.2022.2104726.

2019

  1. 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, volume 73, issue 1, pages 50-55, January, DOI: 10.1080/00031305.2017.1305294.

2018

  1. Amelia McNamara & Nicholas J. Horton, 2018, "Wrangling Categorical Data in R," The American Statistician, Taylor & Francis Journals, volume 72, issue 1, pages 97-104, January, DOI: 10.1080/00031305.2017.1356375.

2016

  1. Nicholas Jon Horton, 2016, "Discussion: Making Progress in a Crowded Market," International Statistical Review, International Statistical Institute, volume 84, issue 2, pages 179-181, August.

2015

  1. Nicholas J. Horton, 2015, "Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward," The American Statistician, Taylor & Francis Journals, volume 69, issue 2, pages 138-145, May, DOI: 10.1080/00031305.2015.1032435.
  2. 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, volume 69, issue 4, pages 259-265, November, DOI: 10.1080/00031305.2015.1094283.
  3. 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, volume 69, issue 4, pages 343-353, November, DOI: 10.1080/00031305.2015.1077729.

2014

  1. Mahnaz Mahdavi & Nicholas J. Horton, 2014, "Financial Knowledge among Educated Women: Room for Improvement," Journal of Consumer Affairs, Wiley Blackwell, volume 48, issue 2, pages 403-417, June.
  2. 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 LLC, volume 14, issue 4, pages 863-883, December.

2013

  1. 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, volume 67, issue 4, pages 219-228, November, DOI: 10.1080/00031305.2013.849207.

2011

  1. 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, volume 174, issue 2, pages 247-295, April.
  2. Nicholas J. Horton, 2011, "Stata tip 95: Estimation of error covariances in a linear model," Stata Journal, StataCorp LLC, volume 11, issue 1, pages 145-148, March.
  3. 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 LLC, volume 11, issue 3, pages 386-402, September.

2008

  1. Nicholas J. Horton, 2008, "Review of Multilevel and Longitudinal Modeling Using Stata, Second Edition, by Sophia Rabe-Hesketh and Anders Skrondal," Stata Journal, StataCorp LLC, volume 8, issue 4, pages 579-582, December.

2007

  1. 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, volume 97, issue 4, pages 718-724, DOI: 10.2105/AJPH.2005.074740.
  2. 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, volume 61, pages 79-90, February.

2006

  1. Horton, Nicholas J., 2006, "Multilevel and Longitudinal Modeling Using Stata. Sophia Rabe-Hesketh and Anders Skrondal," The American Statistician, American Statistical Association, volume 60, pages 293-294, August.

2004

  1. 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, volume 58, pages 343-357, November.

2003

  1. 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, volume 93, issue 2, pages 299-306.
  2. Horton N.J. & Lipsitz S.R. & Parzen M., 2003, "A Potential for Bias When Rounding in Multiple Imputation," The American Statistician, American Statistical Association, volume 57, pages 229-232, November.

2002

  1. 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, volume 51, issue 3, pages 281-295, July, DOI: 10.1111/1467-9876.00269.

2001

  1. 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, volume 55, pages 244-254, August.
  2. 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, volume 57, issue 1, pages 34-42, March, DOI: 10.1111/j.0006-341X.2001.00034.x.
  3. 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, volume 50, issue 3, pages 361-373, DOI: 10.1111/1467-9876.00240.

Chapters

2008

  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, Springer, chapter 14, in: Duangkamon Chotikapanich, "Modeling Income Distributions and Lorenz Curves", DOI: 10.1007/978-0-387-72796-7_14.

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