|John Preisser, Jr, PhD|
Department of Biostatistics
Dental Biostat Conference/My web page for software and data
Investigator, Collaborative Studies Coordinating Center
REACH NC (Collexis) Research Profile
|1995||University of North Carolina at Chapel Hill||PhD, Biostatistics|
|1988||Pennsylvania State University||MA, Statistics|
|1986||Virginia Tech||BS, Statistics|
I conduct statistical methods research in the regression analysis of correlated data. I am interested in the analysis of longitudinal data, methods for overdispersed and zero-inflated count data, statistical methods for missing data, and the design and analysis of cluster intervention trials. I am an investigator at the Collaborative Studies Coordinating Center where I work on the Atherosclerosis Risk in Communities Study (ARIC). ARIC, a prospective epidemiologic study conducted in four U.S. communities, is designed to investigate the causes of atherosclerosis and its clinical outcomes, and variation in cardiovascular risk factors, medical care and disease. My collaborative research activities additionally include aging, particularly observational and interventional studies concerned with the quality of long-term care in nursing homes and residential care settings for those with Alzheimer's disease and dementia. My principal collaborative research activity is in dentistry including oral epidemiology, biological mechanisms of periodontal disease, dental caries, and craniofacial research.
|Preisser JS, Qaqish BF. (2013)|
A comparison of methods for simulating correlated binary variables with specified marginal means and correlations.
Journal of Statistical Computation and Simulation (online 15 July 2013)
|Preisser JS, Stamm JW, Long DL, Kincade M. (2012)|
Review and Recommendations for Zero-inflated Count Regression Modeling of Dental Caries Indices in Epidemiological Studies.
Caries Research: vol.46, p.413-423.
|Gourlay ML, Fine JP, Preisser JS, May RC, Chenxi L, Lui LY, Ransohoff DF, Cauley JA, Ensrud KE. (2012)|
Bone Density Testing Interval and Transition to Osteoporosis in Older Women.
New England Journal of Medicine: vol.366, p.225-233.
|Qaqish BF, Zink RC, Preisser JS (2012)|
Orthogonalized residuals for estimation of marginally specified association parameters in multivariate binary data.
Scandinavian Journal of Statistics: vol.39, p.515-527.
|Preisser JS, By Kunthel, Perin J, Qaqish B. (2012)|
Deletion Diagnostics for Alternating Logistic Regressions.
Biometrical Journal: vol.54, p.701-715.