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Information about:
Nicholas Jon Horton

Personal Details | Affiliation | Works
This is information that was supplied by Nicholas Horton in registering through RePEc. If you are Nicholas Jon Horton , you may change this information at RePEc. Or if you are not registered and would like to be listed as well, register at RePEc. When you register or update your RePEc registration, you may identify the papers and articles you have authored.

Other registered authors


Personal Details

First Name: Nicholas
Middle Name: Jon
Last Name: Horton
Suffix:

RePEc Short-ID: pho144

Email:
Homepage:
http://www.math.smith.edu/~nhorton
Postal Address: Smith College Clark Science Center 44 College Lane Northampton, MA 01063-0001
Phone:

Affiliation

(in no particular order)

Works

|
Working papers | Articles | Access and download statistics | Citations (if any)| NEP Fields |
Download all references for this author: available formats: HTML (with abstracts), plain text (with abstracts), BibTeX, RIS (EndNote), ReDIF

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. [Downloadable!]

  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. [Downloadable!]

  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. [Downloadable!]


Articles

  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 LP, vol. 8(4), pages 579-582, December.

  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, vol. 61, pages 79-90, February. [Downloadable!] (restricted)

  3. 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. [Downloadable!] (restricted)

  4. 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. [Downloadable!] (restricted)

  5. 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. [Downloadable!] (restricted)

  6. 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. [Downloadable!] (restricted)

  7. 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. [Downloadable!] (restricted)

  8. 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. [Downloadable!] (restricted)


NEP Fields

1 paper by this author was announced in
NEP, and specifically in the following field reports (number of papers):
  1. No paper was announced in a field specific NEP report

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This page was last updated on 2009-11-23.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.