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 (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 (2020). Measuring Effects of Medication Adherence on Time-Varying Health Outcomes using Bayesian Dynamic Linear Models . To appear in Biostatistics.