Kirsten Doehler received her Ph.D. in Statistics from North Carolina State University and joined the Elon faculty in 2008. Her academic interests include nonparametric statistics, survival analysis, statistical consulting, statistics education, and attitudes toward statistics. She is originally from Rochester, New York but has lived in North Carolina for over a decade. She very much enjoys spending time with her husband and children.  Although she is not as passionate about running as she used to be, she still goes jogging somewhat regularly and hopes to some day run another marathon.

Please visit Kirsten Doehler's professional Web site to view more information and a full CV.

• Ph.D. in Statistics, North Carolina State University, 2006
  Dissertation: Smooth Inference for Survival Functions with Arbitrarily Censored Data
  Advisor: Marie Davidian
• Masters of Statistics, North Carolina State University, 2002
• B.A. in Mathematics and Education, State University of New York College at Geneseo, 2000

• 2008 - present           Assistant Professor of Statistics, Elon University     
• 2006 - 2008                Assistant Professor of Statistics, UNC Greensboro   
• 2004 - 2006                 VIGRE Fellow, National Science Foundation
• 2002 - 2003                 Graduate Technical Student, SAS Institute
• 2000 - 2004                Teaching Assistant/Instructor, North Carolina State University

Courses at Elon:

• MTH 112 - General Statistics
• MTH/STS 212 - Statistics in Application
• STS 213 - Survey Sampling Methods   
• STS 232 - Statistical Modeling           
• STS 256 - Applied Nonparametric Statistics (taught first offering of course at Elon)
• STS 327 - Statistical Computing (taught first offering of course at Elon)
• STS 481 - Internship in Statistics        
• STS 499 - Independent Research in Statistics               

Courses at UNC Greensboro:

• STA 108 - Introduction to Probability and Statistics
• STA 290 - Introduction to Probability and Statistical Inference        
• STA 352 - Statistical Inference           
• STA 551 - Probability and Mathematical Statistics I
• STA 552 - Probability and Mathematical Statistics II
• STA 573 - Theory of Linear Regression        
• STA 673 - Linear Models        
• STA 699  - Graduate Thesis                                                                

Courses at NCSU:      

• ST 311 - Introduction to Statistics                                                                              
• ST 101H - Statistics by Example - Honors Section

Undergraduate Research Students:

• Fall 2011 - Fall 2012: Alison Miller -  A Comparison of Seminonparametric (SNP) and Nonparametric Survival Estimation (Alison won 1^st place in the Undergraduate Student Research Competition at the 8^th Annual UNCG Mathematics and Statistics Conference)
• Fall 2011, Fall 2012: Theodore Berkowitz - Estimating Proportions with the Binomial Distribution: Traditional Methods and Improved Alternatives
• Spring 2011: Jonathan Leeds - Do Binomial Confidence Intervals Have the Right Confidence? 
• Spring 2011: Russell Swan - Sequential Testing: Do we Reject or get more data?
• Summer 2010: Brandon Landreth - The Effect of Dental Sealants and Fluoride Varnish on Survival Time of Premolars in Children 
• Spring 2010: Cam Jessup - Who is really Winning the Olympics?
• Fall 2010: Jennifer Batchelor - An Exploration of Nonparametric Equivalence Testing
• Spring 2009: Jennifer Batchelor - Apportionment Issues in the House of Representatives  (Co-advisor with Laura Taylor)
• Spring 2009: David Filonuk - Linear Models and Home-Court Advantage (Co-advisor with Laura Taylor. )

Graduate Research Student:

• Fall 2007 - Spring 2008: Guolin Zhao - Masters Thesis: Nonparametric and Parametric Survival Analysis of Censored Data with Possible Violation of Method Assumptions 

1. Doehler, K. (2013) Audio Explanations to Enhance Statistical Understanding: A Case Study in Introductory Statistics. Mathematics Statistics Operations Research Connections, in press.
2. Kapfer, J. M., Doehler, K., and Hay, R. (2013). The influence of habitat type and the presence of an invasive wetland plant (Phalaris arundinacea) on capture rates of sympatric rare and common gartersnake species (Thamnophis butleri and Thamnophis sirtalis). Journal of Herpetology, in press.
3. Hooper, L. M., Wallace, S. A., Doehler, K., and Dantzler, J. (2013). Parentification, ethnic identity, and psychological health in Black and White American college students: Implications of family of origin and cultural factors. Journal of Comparative Family Studies, in press.
4. Doehler, K., Taylor, L., and Smith, J. (2013). A Study of Faculty Views of Statistics and Student Preparation Beyond an Introductory Class. Journal of Statistics Education, in press.
5. Hooper, L. M. and Doehler, K. (2012). Assessing Family Caregiving: A Comparison of Three Retrospective Parentification Measures. Journal of Marital and Family Therapy, 38, 653-666.
6. Hooper, L. M., Doehler, K., Jankowski, P., and Tomek, S. (2012). Patterns of Self-Reported Alcohol Use, Depressive Symptoms, and Body Mass Index in a Family Sample: The Buffering Effects of Parentification. The Family Journal, 20, 164-178.
7. Pauers, M. J., Kapfer, J. M., Doehler, K., Lee, J. T., and Berg, C. S. (2012). Gross colour pattern is used to distinguish between opponents during aggressive encounters in a Lake Malawi cichlid. Ecology of Freshwater Fish, 21, 34-41.
8. Hooper, L. M., Doehler, K. ,Wallace, S. A., and Hannah, N. J. (2011). The Parentification Inventory: Development, Validation, and Cross-Validation. American Journal of Family Therapy, 39, 226-241.
9. Hooper, L. M. and Doehler, K. (2011). The mediating and moderating effects of differentiation of self on body mass index and depressive symptomatology among an American college sample. Counselling Psychology Quarterly, 24, 71-82.
10. Doehler, K. and Davidian, M. (2008). `Smooth' inference for survival functions with arbitrarily censored data. Statistics in Medicine, 27, 5421-5439.