Take ClusterSeer for a test drive.

This tutorial steps you through several sample analyses.  Follow along by using the sample datasets provided.  

Choose between the two examples, or navigate both to discover a range of possibilities.

 

Leukemia analysis

Laryngeal cancer

Cancer on Long Island

Burkitt's lymphoma

theme

testing for spatial clusters of leukemia

testing for spatial pattern in laryngeal cancer

testing for spatial pattern in breast, colorectal and lung cancers

surveying temporal and spatio-temporal patterns in disease

geographic extent

New York state, USA

Lancashire, UK

Nassau, Queens and Suffolk counties, NY USA

West Nile district, Uganda

methods used

  • Besag & Newell's Method

  • Bithell's Linear Risk Score Test

  • Turnbull's Method

  • Score Test

  • Ripley's K-function

  • Diggle's method

  • Anselin's Local Moran

  • Levin & Kline's Modified CuSum

  • Kulldorff's Spatial Scan

  • Rogerson's Spatial Pattern Surveillance Method

data

  • spatial locations of cases

  • population-at-risk

  • the location of a potential focus (TCE injection well)

  • spatial locations of cases

  • spatial locations of a control disease (lung cancer)

  • the location of a potential focus (incinerator)

  • new cancer diagnoses 1993-1997 observed/expected ratio for ZIP codes

  • space and time locations of cases

  • census data

The leukemia tutorial exists in two parts, the analysis conducted in BoundarySeer and that conducted in ClusterSeer.  You can follow the full analysis in our white paper.

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