Daniel B Neill

Summary

Affiliation: Carnegie Mellon University
Country: USA

Publications

  1. ncbi Evolutionary stability for large populations
    Daniel B Neill
    Department of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 3891, USA
    J Theor Biol 227:397-401. 2004
  2. ncbi An empirical comparison of spatial scan statistics for outbreak detection
    Daniel B Neill
    HJ Heinz III College, Carnegie Mellon University, Pittsburgh, PA 15213, USA
    Int J Health Geogr 8:20. 2009
  3. ncbi Fast Bayesian scan statistics for multivariate event detection and visualization
    Daniel B Neill
    Carnegie Mellon University, Pittsburgh, PA 15213, USA
    Stat Med 30:455-69. 2011
  4. ncbi Generalized AMOC curves for evaluation and improvement of event surveillance
    Xia Jiang
    Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
    AMIA Annu Symp Proc 2009:281-5. 2009

Collaborators

Detail Information

Publications4

  1. ncbi Evolutionary stability for large populations
    Daniel B Neill
    Department of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 3891, USA
    J Theor Biol 227:397-401. 2004
    ..Our main contribution is a simple set of two criteria for a large population ESS, which are similar (but not identical) to those originally proposed by Maynard Smith for infinite populations...
  2. ncbi An empirical comparison of spatial scan statistics for outbreak detection
    Daniel B Neill
    HJ Heinz III College, Carnegie Mellon University, Pittsburgh, PA 15213, USA
    Int J Health Geogr 8:20. 2009
    ..We evaluate the detection performance of twelve variants of spatial scan, using synthetic outbreaks injected into four real-world public health datasets...
  3. ncbi Fast Bayesian scan statistics for multivariate event detection and visualization
    Daniel B Neill
    Carnegie Mellon University, Pittsburgh, PA 15213, USA
    Stat Med 30:455-69. 2011
    ..We demonstrate substantial improvements in spatial accuracy and timeliness of detection, while maintaining the scalability and fast run time of the original MBSS method...
  4. ncbi Generalized AMOC curves for evaluation and improvement of event surveillance
    Xia Jiang
    Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA
    AMIA Annu Symp Proc 2009:281-5. 2009
    ....