Martin Kulldorff

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. doi request reprint Drug safety data mining with a tree-based scan statistic
    Martin Kulldorff
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
    Pharmacoepidemiol Drug Saf 22:517-23. 2013
  2. pmc A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring
    Kunihiko Takahashi
    Department of Technology Assessment and Biostatistics, National Institute of Public Health, Japan
    Int J Health Geogr 7:14. 2008
  3. pmc Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates
    Sergio Recuenco
    School of Public Health, University at Albany SUNY, Rensselaer, New York, USA
    Int J Health Geogr 6:14. 2007
  4. pmc A scan statistic for continuous data based on the normal probability model
    Martin Kulldorff
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
    Int J Health Geogr 8:58. 2009
  5. ncbi request reprint Multivariate scan statistics for disease surveillance
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
    Stat Med 26:1824-33. 2007
  6. pmc Cancer map patterns: are they random or not?
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts 02215, USA
    Am J Prev Med 30:S37-49. 2006
  7. ncbi request reprint An elliptic spatial scan statistic
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
    Stat Med 25:3929-43. 2006
  8. pmc A space-time permutation scan statistic for disease outbreak detection
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA
    PLoS Med 2:e59. 2005
  9. ncbi request reprint Benchmark data and power calculations for evaluating disease outbreak detection methods
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
    MMWR Morb Mortal Wkly Rep 53:144-51. 2004
  10. ncbi request reprint Early adverse drug event signal detection within population-based health networks using sequential methods: key methodologic considerations
    Jeffrey S Brown
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
    Pharmacoepidemiol Drug Saf 18:226-34. 2009

Research Grants

  1. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2002
  2. SaTScan: Spatial Scan Statistic Surveillance Software
    Martin Kulldorff; Fiscal Year: 2007
  3. SaTScan: Spatial Scan Statistic Surveillance Software
    Martin Kulldorff; Fiscal Year: 2006
  4. Data Evaluation for Early Disease Outbreak Detection
    Martin Kulldorff; Fiscal Year: 2006
  5. SaTScan: Spatial Scan Statistic Surveillance Software
    Martin Kulldorff; Fiscal Year: 2005
  6. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2005
  7. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2003
  8. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2004
  9. Data Evaluation for Early Disease Outbreak Detection
    Kenneth Kleinman; Fiscal Year: 2007

Detail Information

Publications54

  1. doi request reprint Drug safety data mining with a tree-based scan statistic
    Martin Kulldorff
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
    Pharmacoepidemiol Drug Saf 22:517-23. 2013
    ..This methodological paper evaluates the tree-based scan statistic data mining method to enhance drug safety surveillance...
  2. pmc A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring
    Kunihiko Takahashi
    Department of Technology Assessment and Biostatistics, National Institute of Public Health, Japan
    Int J Health Geogr 7:14. 2008
    ..In particular, some spatial scan statistics are aimed at detecting irregularly shaped clusters which may not be detected by the circular spatial scan statistic...
  3. pmc Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariates
    Sergio Recuenco
    School of Public Health, University at Albany SUNY, Rensselaer, New York, USA
    Int J Health Geogr 6:14. 2007
    ..Adjustments were intended to identify the unusual aggregations of cases given the expected distribution based on the observed locations...
  4. pmc A scan statistic for continuous data based on the normal probability model
    Martin Kulldorff
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
    Int J Health Geogr 8:58. 2009
    ..It may also be used for other distributions, while still maintaining the correct alpha level. In an application of the new method, we look for geographical clusters of low birth weight in New York City...
  5. ncbi request reprint Multivariate scan statistics for disease surveillance
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
    Stat Med 26:1824-33. 2007
    ..The strongest signal was generated by a single data set and due to a familial outbreak of pinworm disease. The second and third strongest signals were generated by the combined strength of two of the three data sets...
  6. pmc Cancer map patterns: are they random or not?
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts 02215, USA
    Am J Prev Med 30:S37-49. 2006
    ....
  7. ncbi request reprint An elliptic spatial scan statistic
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
    Stat Med 25:3929-43. 2006
    ..The method is applied to breast cancer mortality data from Northeastern United States and female oral cancer mortality in the United States. Power comparisons are made with the circular scan statistic...
  8. pmc A space-time permutation scan statistic for disease outbreak detection
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA
    PLoS Med 2:e59. 2005
    ....
  9. ncbi request reprint Benchmark data and power calculations for evaluating disease outbreak detection methods
    Martin Kulldorff
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
    MMWR Morb Mortal Wkly Rep 53:144-51. 2004
    ..Space-time disease-surveillance methods have been proposed as a supplement to purely temporal statistical methods for outbreak detection to detect localized outbreaks before they spread to larger regions...
  10. ncbi request reprint Early adverse drug event signal detection within population-based health networks using sequential methods: key methodologic considerations
    Jeffrey S Brown
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
    Pharmacoepidemiol Drug Saf 18:226-34. 2009
    ..Our objective was to expand our previous signal detection work by investigating the effect on signal detection of alternative study specifications...
  11. ncbi request reprint Surveillance for adverse events following receipt of pandemic 2009 H1N1 vaccine in the Post-Licensure Rapid Immunization Safety Monitoring (PRISM) System, 2009-2010
    W Katherine Yih
    Department of Population Medicine, Harvard Medical School, Boston, Massachusetts 02215, USA
    Am J Epidemiol 175:1120-8. 2012
    ..The study did not control for infection prior to Guillain-Barré syndrome, which may have been a confounder. The risks of other health outcomes of interest were generally not significantly elevated after 2009 H1N1 vaccination...
  12. doi request reprint Near real-time vaccine safety surveillance with partially accrued data
    Sharon K Greene
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
    Pharmacoepidemiol Drug Saf 20:583-90. 2011
    ..We describe practical solutions to these challenges, which were adopted by the VSD Project during pandemic and seasonal influenza vaccine safety surveillance in 2009/2010...
  13. pmc Near real-time adverse drug reaction surveillance within population-based health networks: methodology considerations for data accrual
    Taliser R Avery
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
    Pharmacoepidemiol Drug Saf 22:488-95. 2013
    ..This study describes practical considerations for implementation of near real-time medical product safety surveillance in a distributed health data network...
  14. ncbi request reprint Risk of confirmed Guillain-Barre syndrome following receipt of monovalent inactivated influenza A (H1N1) and seasonal influenza vaccines in the Vaccine Safety Datalink Project, 2009-2010
    Sharon K Greene
    Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
    Am J Epidemiol 175:1100-9. 2012
    ..1 cases per million doses, 95% confidence interval: -3.1, 5.4). Further evaluation to assess GBS risk following both vaccination and respiratory infection is warranted...
  15. ncbi request reprint A conditional maximized sequential probability ratio test for pharmacovigilance
    Lingling Li
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, 6th Floor, Boston, MA 02215, USA
    Stat Med 29:284-95. 2010
    ..Our test incorporates the randomness and variability from both the historical data and the surveillance population. Evaluations of the statistical power for CMaxSPRT are presented under different scenarios...
  16. pmc Gastrointestinal disease outbreak detection using multiple data streams from electronic medical records
    Sharon K Greene
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215 3920, USA
    Foodborne Pathog Dis 9:431-41. 2012
    ..This study's primary objective was to identify data streams from EMRs that may perform well for GI outbreak detection...
  17. pmc Timely detection of localized excess influenza activity in Northern California across patient care, prescription, and laboratory data
    Sharon K Greene
    Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
    Stat Med 30:549-59. 2011
    ..Although limited to one health plan, location, and year, these results can inform the choice of data streams for public health surveillance of influenza...
  18. doi request reprint Active surveillance for adverse events: the experience of the Vaccine Safety Datalink project
    W Katherine Yih
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, Boston, MA 02215, USA
    Pediatrics 127:S54-64. 2011
    ..To describe the Vaccine Safety Datalink (VSD) project's experience with population-based, active surveillance for vaccine safety and draw lessons that may be useful for similar efforts...
  19. ncbi request reprint Absence of associations between influenza vaccines and increased risks of seizures, Guillain-Barré syndrome, encephalitis, or anaphylaxis in the 2012-2013 season
    Alison Tse Kawai
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
    Pharmacoepidemiol Drug Saf 23:548-53. 2014
    ..We conducted weekly surveillance for pre-specified adverse events following receipt of the 2012-2013 influenza vaccines in the Vaccine Safety Datalink (VSD)...
  20. ncbi request reprint Early detection of adverse drug events within population-based health networks: application of sequential testing methods
    Jeffrey S Brown
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA
    Pharmacoepidemiol Drug Saf 16:1275-84. 2007
    ....
  21. pmc Evaluating real-time syndromic surveillance signals from ambulatory care data in four states
    W Katherine Yih
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, 6th Floor, Boston, MA 02215, USA
    Public Health Rep 125:111-20. 2010
    ..We evaluated a real-time ambulatory care-based syndromic surveillance system in four metropolitan areas of the United States...
  22. ncbi request reprint Evaluating spatial surveillance: detection of known outbreaks in real data
    Ken Kleinman
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, USA
    Stat Med 25:755-69. 2006
    ..They can be used to assess whether the new system works in that it detects the outbreaks better than chance would suggest and can also determine if the new systems' signals are generated earlier than an extant system...
  23. doi request reprint H1N1 and seasonal influenza vaccine safety in the vaccine safety datalink project
    Grace M Lee
    Center for Child Health Care Studies, Department of Population Medicine, Children s Hospital Boston, Boston, Massachusetts, USA
    Am J Prev Med 41:121-8. 2011
    ..A robust influenza immunization program in the U.S. requires ongoing monitoring of potential adverse events associated with vaccination...
  24. pmc Automated influenza-like illness reporting-an efficient adjunct to traditional sentinel surveillance
    W Katherine Yih
    Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
    Public Health Rep 129:55-63. 2014
    ..We compared an electronic health record-based influenza-like illness (ILI) surveillance system with manual sentinel surveillance and virologic data to evaluate the utility of the automated system for routine ILI surveillance...
  25. ncbi request reprint Real-time vaccine safety surveillance for the early detection of adverse events
    Tracy A Lieu
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA
    Med Care 45:S89-95. 2007
    ..Sequential testing procedures are needed to detect vaccine or drug safety problems as soon as possible after introduction...
  26. pmc Evaluation of the performance of tests for spatial randomness on prostate cancer data
    Virginia L Hinrichsen
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
    Int J Health Geogr 8:41. 2009
    ..We chose 3 spatial clustering tests that are commonly used to evaluate the geographic distribution of disease: Cuzick-Edwards' k-NN (k-Nearest Neighbors) test, Moran's I and Tango's MEET (Maximized Excess Events Test)...
  27. pmc Near real-time surveillance for influenza vaccine safety: proof-of-concept in the Vaccine Safety Datalink Project
    Sharon K Greene
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, 133 Brookline Avenue, Boston, MA 02215 3920, USA
    Am J Epidemiol 171:177-88. 2010
    ..Near real-time surveillance for selected adverse events can be implemented prospectively to rapidly assess seasonal and pandemic influenza vaccine safety...
  28. ncbi request reprint Active influenza vaccine safety surveillance: potential within a healthcare claims environment
    Jeffrey S Brown
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
    Med Care 47:1251-7. 2009
    ..Rapid safety assessment of novel vaccines, especially those targeted against pandemic influenza, is a public health priority...
  29. pmc Herpes zoster and postherpetic neuralgia surveillance using structured electronic data
    Michael Klompas
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
    Mayo Clin Proc 86:1146-53. 2011
    ..To develop electronic algorithms for rapid, automated surveillance for herpes zoster and postherpetic neuralgia (PHN) using codified electronic health data...
  30. pmc Gumbel based p-value approximations for spatial scan statistics
    Allyson M Abrams
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
    Int J Health Geogr 9:61. 2010
    ..A drawback to this powerful technique is that each additional digit of p-value precision requires ten times as many replicated datasets, and the additional processing can lead to excessive run times...
  31. ncbi request reprint A spatial scan statistic for ordinal data
    Inkyung Jung
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Ave 6th Floor, Boston, MA 02215, USA
    Stat Med 26:1594-607. 2007
    ..The proposed method is illustrated using prostate cancer grade and stage data from the Maryland Cancer Registry. The statistical power, sensitivity and positive predicted value of the test are examined through a simulation study...
  32. pmc Telephone triage service data for detection of influenza-like illness
    W Katherine Yih
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA
    PLoS ONE 4:e5260. 2009
    ..Nontraditional sources of data for influenza and ILI surveillance are of interest to public health authorities if their validity can be established...
  33. ncbi request reprint Confounding adjustment in comparative effectiveness research conducted within distributed research networks
    Sengwee Toh
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
    Med Care 51:S4-10. 2013
    ..An essential component of a fully functional DRN is the capability to perform robust statistical analyses to produce valid, actionable evidence without compromising patient privacy, data security, or proprietary interests...
  34. doi request reprint Risk of misleading ventilator-associated pneumonia rates with use of standard clinical and microbiological criteria
    Michael Klompas
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
    Clin Infect Dis 46:1443-6. 2008
    ..The addition of microbiological criteria to standard clinical criteria decreased the range of apparent VAP to 3.5%-15.5%. These wide margins of variability suggest that VAP rates are an unreliable measure of quality of care...
  35. ncbi request reprint An assessment of the safety of adolescent and adult tetanus-diphtheria-acellular pertussis (Tdap) vaccine, using active surveillance for adverse events in the Vaccine Safety Datalink
    W Katherine Yih
    Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
    Vaccine 27:4257-62. 2009
    ..5-2 for the other outcomes. This study provides reassurance that Tdap is similar in safety to Td regarding the outcomes studied and supports the viability of sequential analysis for post-licensure vaccine safety monitoring...
  36. ncbi request reprint Minimizing signal detection time in postmarket sequential analysis: balancing positive predictive value and sensitivity
    Judith C Maro
    Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
    Pharmacoepidemiol Drug Saf 23:839-48. 2014
    ....
  37. doi request reprint Medical product safety surveillance: how many databases to use?
    Judith C Maro
    Engineering Systems Division, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Epidemiology 24:692-9. 2013
    ..Appropriate planning allows the most efficient use of public health dollars dedicated to medical product surveillance efforts...
  38. ncbi request reprint A spatial scan statistic for survival data
    Lan Huang
    Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, National Cancer Institute Contractor, 6116 Executive Boulevard, Rockville, Maryland 20852, USA
    Biometrics 63:109-18. 2007
    ..We also present a method to adjust the analysis for covariates. The cluster detection method is illustrated using survival data for men diagnosed with prostate cancer in Connecticut from 1984 to 1995...
  39. pmc Simulated anthrax attacks and syndromic surveillance
    James D Nordin
    HealthPartners Research Foundation, Minneapolis, Minnesota 55440 1524, USA
    Emerg Infect Dis 11:1394-8. 2005
    ..Timeliness and completeness of detection of events varied by rate of infection. First detection of events ranged from days 3 to 6. Similar modeling may be possible with other surveillance systems and should be a part of their evaluation...
  40. ncbi request reprint Syndromic surveillance in public health practice, New York City
    Richard Heffernan
    Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, New York 10013, USA
    Emerg Infect Dis 10:858-64. 2004
    ..Eighty-three percent of the signals for diarrhea and 88% of the signals for vomiting occurred during periods of suspected norovirus and rotavirus transmission...
  41. ncbi request reprint Geographic differences in invasive and in situ breast cancer incidence according to precise geographic coordinates, Connecticut, 1991-95
    David I Gregorio
    Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington, CT 06030 6205, USA
    Int J Cancer 100:194-8. 2002
    ..Such information may enable public health officials to target additional resources for promoting breast cancer screening to specific locations...
  42. ncbi request reprint Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needs
    Henry Rolka
    Centers for Disease Control and Prevention CDC, Division of Emergency Preparedness and Response, National Center for Public Health Informatics, 1600 Clifton Rd, NE MS D45, Atlanta, GA 30333, USA
    Stat Med 26:1834-56. 2007
    ..There are references to research issues throughout the sections with a summarization at the end, which also includes items previously unmentioned in the report...
  43. ncbi request reprint Retrospective evaluation and adjustment of dual energy X-ray absorptiometry measurements for bone mineral density research studies
    Zixing Fang
    Brain Research Laboratories, Department of Psychiatry, New York University School of Medicine, New York, New York 10016, USA
    J Clin Densitom 5:421-33. 2002
    ..Results were consistent for both phantoms, with a gradual trend and a sudden jump, as well as a seasonal fluctuation term...
  44. ncbi request reprint A geographic analysis of prostate cancer mortality in the United States, 1970-89
    Ahmedin Jemal
    Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
    Int J Cancer 101:168-74. 2002
    ....
  45. ncbi request reprint Place of residence effect on likelihood of surviving prostate cancer
    David I Gregorio
    Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington, CT 06030 6205, USA
    Ann Epidemiol 17:520-4. 2007
    ..To examine geographic variation in survival time of men diagnosed with prostate cancer, adjusted for patient and disease characteristics...
  46. pmc Dead bird clusters as an early warning system for West Nile virus activity
    Farzad Mostashari
    New York City Department of Health and Mental Hygiene, New York 10013, USA
    Emerg Infect Dis 9:641-6. 2003
    ..This adaptation of the scan statistic could also be useful in other infectious disease surveillance systems, including those for bioterrorism...
  47. ncbi request reprint Missing stage and grade in Maryland prostate cancer surveillance data, 1992-1997
    Ann C Klassen
    Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
    Am J Prev Med 30:S77-87. 2006
    ..Two clinical elements often missing in surveillance data are histologic grade and stage of disease. Missing data are either not clinically ascertained or not successfully abstracted...
  48. ncbi request reprint A tree-based scan statistic for database disease surveillance
    Martin Kulldorff
    Division of Epidemiology and Biostatistics, School of Medicine, and Department of Statistics, University of Connecticut, USA
    Biometrics 59:323-31. 2003
    ..The method is illustrated using data from the National Center for Health Statistics Multiple Cause of Death Database, looking at the relationship between occupation and death from silicosis...
  49. ncbi request reprint Geographic distribution of prostate cancer incidence in the era of PSA testing, Connecticut, 1984 to 1998
    David I Gregorio
    Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington, Connecticut 06030 6205, USA
    Urology 63:78-82. 2004
    ....
  50. ncbi request reprint A space-time cluster of adverse events associated with canine rabies vaccine
    George E Moore
    Department of Veterinary Pathobiology, School of Veterinary Medicine, Purdue University, West Lafayette, IN 47907 2027, USA
    Vaccine 23:5557-62. 2005
    ..85%) from November 2002 through February 2003. This percentage of adverse events was significantly increased after adjustment for host-related factors and the number of concurrent vaccinations...
  51. doi request reprint Factors associated with endemic raccoon (Procyon lotor) rabies in terrestrial mammals in New York State, USA
    Sergio Recuenco
    School of Public Health, University at Albany SUNY, Rensselaer, NY 12144, USA
    Prev Vet Med 86:30-42. 2008
    ..The model may be used in prioritizing areas for rabies control based on differential risk, including use of costly intervention methods such as oral rabies vaccine...
  52. pmc Likelihood based tests for spatial randomness
    Changhong Song
    Department of Statistics, University of Connecticut, Storrs, CT 06269, USA
    Stat Med 25:825-39. 2006
    ..The power of these tests is evaluated using simulated data set and compared with existing methods...
  53. ncbi request reprint Geographically based investigation of prostate cancer mortality in four U.S. Northern Plain states
    Jennifer A Rusiecki
    Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
    Am J Prev Med 30:S101-8. 2006
    ..S. Northern Plains states. The purpose of this study was to investigate possible contributing factors, especially whether there was any association with crop patterns...
  54. ncbi request reprint Geographic prediction of human onset of West Nile virus using dead crow clusters: an evaluation of year 2002 data in New York State
    Glen D Johnson
    Zoonoses Program, New York State Department of Health, Albany, NY 12237, USA
    Am J Epidemiol 163:171-80. 2006
    ..Weaker, but positive associations were found for towns associated with a cluster in just the 1-2 prior weeks, indicating an ability to predict onset in a timely fashion...

Research Grants10

  1. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2002
    ..abstract_text> ..
  2. SaTScan: Spatial Scan Statistic Surveillance Software
    Martin Kulldorff; Fiscal Year: 2007
    ..In this project, we propose to further develop and maintain the SaTScan software to fulfill many of these needs. ..
  3. SaTScan: Spatial Scan Statistic Surveillance Software
    Martin Kulldorff; Fiscal Year: 2006
    ..In this project, we propose to further develop and maintain the SaTScan software to fulfill many of these needs. ..
  4. Data Evaluation for Early Disease Outbreak Detection
    Martin Kulldorff; Fiscal Year: 2006
    ..abstract_text> ..
  5. SaTScan: Spatial Scan Statistic Surveillance Software
    Martin Kulldorff; Fiscal Year: 2005
    ..In this project, we propose to further develop and maintain the SaTScan software to fulfill many of these needs. ..
  6. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2005
    ..abstract_text> ..
  7. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2003
    ..abstract_text> ..
  8. Tests for Spatial Randomness in Cancer Maps
    Martin Kulldorff; Fiscal Year: 2004
    ..abstract_text> ..
  9. Data Evaluation for Early Disease Outbreak Detection
    Kenneth Kleinman; Fiscal Year: 2007
    ..abstract_text> ..