........................................................................................................................................................................................................

Nicholas J. Horton

Associate Professor
Sc.D., Harvard University

nhorton at email.smith.edu
Burton 314
413-585-3688

Courses

MTH 107, Statistical Thinking (Spring 2009)
MTH 190, Statistical Methods for Undergraduate Research
MTH 211, Linear Algebra
MTH 241, Probability and Statistics for Engineers
MTH 245, Introduction to Probability and Statistics (F08 and S09)
MTH 247, Regression Analysis (Fall 2008)
MTH 290, Design of Experiments
MTH 346, Mathematical Statistics

 


Office hours (Fall 2008)

Monday 9:30-10:30am, Wednesday 8:30-9:30am, Friday 4:00-5:00pm or by appointment


Academic Interests

I am interested in developing methodology for the analysis of missing and/or incomplete data as well as the analysis of longitudinal or repeated measures data. My current work involves development of methods for analyzing multiple informant data in services research, alcohol and drug abuse studies, and psychiatric epidemiology, as well as research in statistical education. I'm really excited about StatWeave as a means to foster reproducible statistical analyses. I'm active with the Boston Chapter of the American Statistical Association, the ASA Council of Chapters and the ASA Section on Statistical Education. In the recent past, I helped to coordinate a workshop on statistical consulting at liberal arts colleges. I organize the applied statistics lecture series at Smith. I also have notes from my 2007 JSM talk on incorporating the ARTIST online assessments into intro statistics classes. I also created the Statistics Haiku Project and the Linear Algebra Haiku Project.


Publications

(Manuscripts appear with permission from the publishers, paperwork available upon request). Click here for complete list of publications.

Horton NJ, Laird NM, and Zahner GEP. Use of multiple informant data as a predictor in psychiatric epidemiology. International Journal of Methods in Psychiatric Research 1999; 8:6-18.

Horton NJ and Laird NM. Maximum likelihood analysis of generalized linear models with missing covariates. Statistical Methods in Medical Research 1999; 8:37-50.

Horton NJ and Lipsitz SR. Review of software to fit generalized estimating equation (GEE) regression models. The American Statistician 1999; 53:160-169.

Horton NJ and Laird NM. Maximum likelihood analysis of logistic regression models with incomplete covariate data and auxiliary information. Biometrics 2001; 57:34-42.

Horton NJ and Lipsitz SR. Multiple imputation in practice: Comparison of software packages for regression models with missing variables. The American Statistician, 2001; 55(3):244-254.

Horton NJ, Laird NM, Murphy JM, Monson RR, Sobol AM and Leighton AH. Multiple informants: mortality associated with psychiatric disorders in the Stirling County Study. American Journal of Epidemiology, 2001; 154(7):649-656.

Horton NJ and Fitzmaurice GM. 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 (Applied Statistics), 2002; 51(3):281-295.

Horton NJ, Saitz R, Laird NM and Samet JH. A method for modeling utilization data from multiple sources: application in a study of linkage to primary care. Health Services and Outcomes Research Methodology, 2002; 3:211-223.

Horton NJ, Lipsitz SR, and Parzen M. A potential for bias when rounding in multiple imputation. The American Statistician, 2003; 57(4):229-232.

Horton NJ and Fitzmaurice GM. Regression analysis of multiple source and multiple informant data from complex survey samples. Statistics in Medicine, 2004; 23(18):2911-2933.

Horton NJ, Brown ER, and Qian L (Smith College '05). Use of R as a toolbox for mathematical statistics exploration. The American Statistician, 2004; 58(4):343-357.

Horton NJ and Shapiro EC (Smith College '04). Statistical sleuthing during epidemics: maternal influenza and schizophrenia. Chance, 2005; 18(1):11-18.

Horton NJ and Switzer SS (Smith College '06). Statistical methods in the Journal. New England Journal of Medicine, 2005; 353(18):1977-1979.

Switzer SS (Smith College '06) and Horton NJ. What your doctor should know about statistics (but perhaps doesn't). Chance, 2007; 20(1):17-21 (Notes [10MB] and talk are available).

Horton NJ and Kleinman KP. Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models. The American Statistician, 2007; 61(1):79-90. (Appendix, notes and a talk).

Horton NJ, Kim E and Saitz R. A cautionary note regarding count models of alcohol consumption in randomized controlled trials. BMC Medical Research Methodology, 2007; 7:9.

Horton NJ. Clinician attitudes towards biostatistics. Mayo Clinic Proceedings, 2007; 82(12):1578, see also related article.


Personal Information

I'm enthusiastic about rail trail developments in the Pioneer Valley and beyond. I am a co-founder and current President of the Friends of Northampton Trails and Greenways and encourage you to join the fntg mailing list. Click here to join fntg.

I like to juggle. I'm a Quaker (member of the Religious Society of Friends). My friend George makes lovely windsor chairs and I enjoy the artwork at Stopdot Studio. In my copious spare time, I chase after my family.

........................................................................................................................................................................................................
Updated August 24, 2008