Research:

 

My research interests include Bayesian statistics, paired comparison models, and statistical methods applied to health services research. Below are a sampling of my research papers.

Please refer to my Curriculum Vitae for a complete list of publications.

• Glickman, Mark E., "Paired Comparison Models with Time Varying Parameters" (1993), Doctoral thesis, Harvard University Dept of Statistics.

• Glickman, Mark E., "A Comprehensive Guide to Chess Ratings" (1995). A subsequent version of this paper appeared in the American Chess Journal, 3, pp. 59--102.

• Glickman, Mark E., and Stern, Hal S., "A State-Space Model for National Football League Scores" (1998), Journal of the American Statistical Association, 93, 25-35.

• Glickman, Mark E., and Jones, Albyn C., "Rating the chess rating system" (1999), Chance, 12, 2, 21-28.

• Glickman, Mark E., "Parameter estimation in large dynamic paired comparison experiments" (1999) Applied Statistics, 48, 377-394. This paper describes the technical details of the "Glicko" rating system - for a more condensed and less technical discussion, you might want to look at this paper).

• Glickman, Mark E., and Normand, Sharon-Lise T., "The Derivation of a Latent Threshold Instrumental Variables Model" (2000), Statistica Sinica, 10, 517-544.

• Glickman, Mark E., "Dynamic paired comparison models with stochastic variances" (2001), Journal of Applied Statistics, 28, 673-689. This paper describes the technical details of the Glicko-2 rating system. Click here for a more condensed version with a worked-out example.

• Glickman, Mark E., and Gagnon, David R., "Modeling the effects of genetic factors on late-onset diseases in cohort studies" (2002), Lifetime Data Analysis, 8, 211-228.

• Glickman, Mark E., and Jensen, Shane T., "Adaptive paired comparison design" (2005). Journal of Statistical Planning and Inference, 127, 279-293.

• Glickman, Mark E., Gray, Jeremy R., and Morales, Carlos, "Combining speed and accuracy to assess error-free cognitive processes" (2005). Psychometrika, 70, 405-432.

• Glickman, Mark E., and Kao, Mei-Fang, "Apo-E genotypes and cardiovascular diseases: A sensitivity study using cross-validatory criteria" (2005). The Biometrical Journal, 47, 541-553.

• Chabris, Christopher F., and Glickman, Mark E., "Sex differences in intellectual performance: Analysis of a large cohort of competitive chess players" (2006). Psychological Science, 17, 1009-1107.

• Glickman, Mark E. and Van Dyk, David A. "Basic Bayesian Methods" In Topics in Biostatistics (Methods in Molecular Biology). Edited by Walter Ambrosius. The Humana Press Inc., Totowa, NJ. ISBN 1-58829-531-1. pp 319-338.

• Glickman, Mark E. "Bayesian locally-optimal design of knockout tournaments" (2008). Journal of Statistical Planning and Inference, 138, 2117-2127.

• Glickman, Mark E., Seal, Pradipta, and Eisen, Susan V. "A non-parametric Bayesian diagnostic for detecting differential item functioning in IRT models" (2009) Health Services and Outcomes Research Methodology, 9(3), 145-161.

• Lesser, Lawrence M., and Glickman, Mark E. "Using magic in the teaching of probability and statistics" (2009) Model Assisted Statistics Statistics and Applications, 4, 265-274.

• Rose, Adam, Glickman, Mark E., Manze, Meredith, Orner, Michelle B., Berlowitz, Dan, and Kressin, Nancy R (2011). "Effects of daily adherence to anti-hypertensive medication on time-varying blood pressure control" Journal of Clinical Hypertension, 13(6), 416-421.

• Glickman ME, Rao SR, Schultz MR (2014). "False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies" Journal of Clinical Epidemiology, 67, 850-857.
  
  Also, a comment and response has been published in JCE as well: Glickman ME, Rao SR, Schultz MR (2016). "False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies" Journal of Clinical Epidemiology, 69(1), 260-261.
  
• Glickman ME, Hennessy J (2015). "A stochastic rank ordered logit model for rating multi-competitor games and sports". Journal of Quantitative Analysis in Sports, 11(3): 131-144.

• Glickman ME, Hennessy J, Bent A (2017). A comparison of rating systems for competitive women's beach volleyball. To appear in the Italian Journal of Applied Statistics.