Gideon K.D. Zamba, M.S., Ph.D.
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Professor of Biostatistics (Primary)
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' All truths are easy to understand once they are discovered; the point is to discover them.'
Galileo Galilei
· Theory of Linear and Generalized Linear Models
· Theory of Biostatistics I
· Biostatistical Methods I
· Research Data Management
· Design and Analysis of Biomedical Studies
· Biostatistical Computing
· Introduction to Biostatistical Computing
· Statistical Methods in Clinical Trials
· Introduction to Biostatistics
· General Biostatistics
· Radiation Oncology Biostatistics Seminar
· Data Analysis
· Applied Regression including Computing and Graphics
· Introduction to Statistical Analysis
· Multivariate Statistics
· Computational statistics
· Reliability & Recurrence
· Change Point Problems
· Dynamic Processing
· Syndromic Surveillance
· Cancer
· Emphysema
· Glaucoma
· Influenza
Zamba K. D., Tsiamyrtzis P. (2021). Sequential Detection Framework for Real-time Biosurveillance Based on Shiryaev-Roberts Procedure with Illustration Using COVID-19 Incidence Data. Sequential Analysis, 40(2), 146--169
Zamba K. D., Adekpedjou A. (2019). A Khmaladze Martingale-Transformed Test of Fit with ML Estimation in the Presence of Recurrent Events. Sequential Analysis, 38(3), 318--341
Adekpedjou A., Olbricht G. R., Zamba K. D. (2018). Confidence Bands for Quantiles as a Function of Covariates in Recurrent Event Models. Canadian Journal of Statistics, 46(4), 610--634
VanBuren, J. M., Zamba, K. D., Wall, M. (2016). Integrating Independent Spatio-Temporal Replication to Assess Population Trends in Disease Spread. Statistics in Medicine, 35(28), 5210--5221
Adekpedjou A., Withanage De-Mel A., Zamba K. D. (2015). Data Dependent Cells Chi-Square Test with Recurrent Events. Scandinavian Journal of Statistics, 42(4), 1045--1064
Yang, M., Cavanaugh, J.E., Zamba, K.D. (2014) . State-Space Models for Count Time Series with Excess Zeros. Statistical Modelling, 15(1), 70--90
Yang, M., Zamba, K. D., Cavanaugh, J.E. (2013) . Markov Regression Models for Count Time Series with Excess Zeros: A Partial Likelihood Approach. Statistical Methodology, 14,26--38
Zamba K. D., Tsiamyrtizis P., Hawkins, D. M. (2013). A Three-State Recursive Sequential Bayesian Algorithm for Biosurveillance. Computational Statistics and Data Analysis, 58, 82--97
Adekpedjou A., Zamba K. D. (2012). A Chi-Squared Goodness of Fit Test for Recurrent Event Data. Journal of Statistical Theory and Application, 11(2), 97--119
Zamba K. D., Adekpejou A., Yang M. (2012). Inter-event Times Estimation for Correlated Recurrent Event under Informative Monitoring. South African Statistical Journal, 46, 155--184
Zamba, K. D., Adekpedjou, A. (2010) . Parameter Estimation for Correlated Recurrent Events under Informative Monitoring. Statistical Methodology, 8 (3), 273-290.
Zamba K. D., Hawkins, D. M. (2009). A Multivariate Change point model for Change in Mean Vector and/or Covariance Structure. Journal of Quality Technology, vol. 41 (3)
Zamba K. D., Tsiamyrtizis P., Hawkins, D. M. (2008). Sequential Bayesian Control model for Influenza-like-illness and Early Detection of Intentional Outbreaks . Quality Engineering, Health Edition, 20 (4), 495-507
Zamba K. D., Hawkins, D. M. (2006). A Multivariate Change point model for Statistical Process Control. Technometrics, 48 (4) 539-549
Hawkins, D. M., Zamba K. D. (2005). Statistical Process Control for shifts in Mean or Variance using a Changepoint formulation. Technometrics , 47 164--173
Hawkins, D. M., Zamba K. D. (2005). A change Point Model for Shift in Variance. Journal of Quality Technology, 37 (1) 21-31
Hawkins, D. M., Zamba K. D. (2004). On Small Shifts In Quality Control. Quality Engineering , 16 143-149
Supporting tables for : Zamba, K. D., Hawkins, D. M. (2006)
Technometrics
TABLES TECHNO
Supporting tables for : Zamba, K. D., Hawkins, D. M. (2009)
Journal of Quality Technology
TABLES JQT
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