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. (1993),
"Paired Comparison Models with
Time Varying Parameters", Doctoral thesis, Harvard
University Dept of Statistics.
- Glickman, Mark E. (1995),
"A Comprehensive Guide to
Chess Ratings" .
A
subsequent version of this paper
appeared in the American Chess Journal, 3, pp. 59--102.
- Glickman, Mark E. and Stern, Hal S. (1998),
"A State-Space Model for National Football League Scores",
Journal of the American Statistical Association,
93, 25-35.
- Glickman, Mark E. and Jones, Albyn C. (1999),
"Rating the chess rating system",
Chance, 12, 2, 21-28.
- Glickman, Mark E. (1999),
"Parameter estimation in
large dynamic paired comparison experiments",
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. (2000),
"The Derivation of a Latent
Threshold Instrumental Variables Model",
Statistica Sinica, 10, 517-544.
- Glickman, Mark E. (2001),
"Dynamic paired comparison models
with stochastic variances",
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. (2002),
"Modeling the effects of genetic
factors on late-onset diseases in cohort studies",
Lifetime Data Analysis, 8, 211-228.
- Glickman, Mark E. and Jensen, Shane T. (2005),
"Adaptive paired comparison design",
Journal of Statistical Planning and Inference, 127, 279-293.
- Glickman, Mark E., Gray, Jeremy R., and Morales, Carlos (2005),
"Combining speed and accuracy to
assess error-free cognitive processes",
Psychometrika, 70, 405-432.
- Glickman, Mark E., and Kao, Mei-Fang (2005),
"Apo-E genotypes and cardiovascular diseases:
A sensitivity study using cross-validatory criteria",
The Biometrical Journal, 47, 541-553.
- Chabris, Christopher F., and Glickman, Mark E. (2006),
"Sex differences in intellectual performance: Analysis of a
large cohort of competitive chess players",
Psychological Science, 17, 1009-1107.
-
Glickman, Mark E. and Van Dyk, David A.
(2007),
"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. (2008),
"Bayesian locally-optimal design of knockout tournaments",
Journal of Statistical Planning and Inference,
138, 2117-2127.
-
Glickman, Mark E.,
Seal, Pradipta, and
Eisen, Susan V (2009),
"A non-parametric Bayesian diagnostic for detecting
differential item functioning in IRT models",
Health Services and Outcomes Research
Methodology, 9(3), 145-161.
-
Lesser, Lawrence M., and Glickman, Mark E (2009),
"Using magic in the teaching of probability and statistics",
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 (2018), A comparison of rating systems for competitive women's beach volleyball. Italian Journal of Applied Statistics, 30(2), 233-254.
- Campos LF, Glickman ME, Hunter KB (2021), "Measuring Effects of Medication Adherence on Time-Varying Health Outcomes using Bayesian Dynamic Linear Models", Biostatistics, 22(3), 662-683.