"Accelerating Statistical Research in Drug Safety", Pharmacoepidemiology and Drug Safety, vol. 15, issue 9, pp. 687-688, 2006.

Yahav, I., T. Lotze, and G. Shmueli, "Algorithm Combination for Improved Detection in Biosurveillance", Infectious Disease Informatics and Biosurveillance: Integrated Series in Information Systems, 1, vol. 27: Springer, pp. 173-189, 2011. 143493_1_En_8_Chapter_OnlinePDF.pdf (1.55 MB)

Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.

Burkom, H. S., S. Murphy, and G. Shmueli, "Automated Time Series Forecasting for Biosurveillance", Statistics in Medicine, vol. 26, issue 22, pp. 4202-4218, 2007. AutomatedForecasting BurkomMurphyShmueli print version.pdf (549.87 KB)

Fienberg, S. E., and G. Shmueli, "Comment on "A Bayesian Dynamic Model for Influenza Surveillance" by Sebastiani, Mandl, Szolovits, Kohane, and Ramoni", Statistics in Medicine, vol. 25, issue 11, pp. 1821-1822, 2006.

Shmueli, G., and S. E. Fienberg, "Current and Potential Statistical Methods for Monitoring Multiple Data Streams for Bio-Surveillance", Statistical Methods in Counter-Terrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication, New York, Springer, 2006.

Murphy, S., H. S. Burkom, and G. Shmueli, "Data Adaptive Multivariate Control Charts for Routine Health Monitoring", Syndromic Surveillance Conference (in Advances in Disease Surveillance, 1:53), 2006.

Goldenberg, A., G. Shmueli, R. A. Caruana, and S. E. Fienberg, "Early Statistical Detection of Anthrax Outbreaks by Tracking Over-the-Counter Medication Sales", Proceeding of the National Academy of Sciences, vol. 99, issue 8, pp. 5237-5240, 2002.

Lotze, T., and G. Shmueli, "Ensemble Forecasting for Disease Outbreak Detection", 23rd AAAI Conference on Artificial Intelligence (AAAI-08), Chicago, IL, 2008. AAAI7LotzeT.pdf (61 KB)

Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurveillance", Working Paper RHS 06-059: Smith School of Business, University of Maryland, 2007.

Yahav, I., and G. Shmueli, "Evaluating Directionally-Sensitive Multivariate Control Charts with an Application to Biosurvelliance", Quality and Reliability Engineering International, vol. 30, issue 2, pp. 159-179, 2014. Manuscript (732.57 KB)

Shmueli, G., and I. Yahav, "The Forest or the Trees? Tackling Simpson's Paradox with Classification Trees", Production and Operations Management, vol. 27, pp. 696–716, 2018.

Shmueli, G., and I. Yahav, The Forest or the Trees? Tackling Simpson's Paradox with Classification and Regression Trees: Indian School of Business, 2014.

Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Applied Stochastic Models in Business and Industry, vol. 28, issue 1, pp. 91-102, 2012. Multivariate-Poisson ASMBI 2012.pdf (1.52 MB)

Yahav, I., and G. Shmueli, "On Generating Multivariate Poisson Data in Management Science Applications", Working Paper RHS 06-085: Smith School of Business, University of Maryland, 2009.

Lotze, T., and G. Shmueli, "How does improved forecasting benefit detection? An application to biosurveillance", International Journal on Forecasting, vol. 25, pp. 467-483, 2009. IJF2009 ForecastingBiosurveillance.pdf (2.19 MB)

Yahav, I., and G. Shmueli, "Outcomes Matter: Estimating Pre-Transplant Survival Rates of Kidney-Transplant Patients Using Simulation-Based Propensity Scores", Working Paper RHS 06-137: Smith School of Business, University of Maryland, 2011.

Yahav, I., and G. Shmueli, "Outcomes matter: estimating pre-transplant survival rates of kidney-transplant patients using simulator-based propensity scores", Annals of Operations Research, vol. 216, issue 1, pp. 101-128, 2014. lifetime_r2.pdf (924.59 KB)

Yahav, I., and G. Shmueli, "Predicting Potential Survival Rates of Kidney Transplant Candidates From Databases With Existing Allocation Policies", 5th INFORMS Workshop on Data Mining and Healh Informatics, Austin, TX, 05/11/2010. INFORMS 2010 DMHI.pdf (123.33 KB)

Lotze, T., S. Murphy, and G. Shmueli, "Preparing Biosurveillance Data for Classic Monitoring", Advances in Disease Surveillance, vol. 6, 2008. DataPreparation AdvDisSurv.pdf (470.11 KB)