Clusters of disease, such as leukemia or breast cancer, can be caused by environmental factors, or they can arise by chance. How can we tell whether an observed cluster is real? Use ClusterSeer. ClusterSeer‘s state-of-the-art methods allow you to determine whether a cluster is significant, where it is located, and when it arose, providing insight into the origin, causes, and correlates of disease.

 

ClusterSeer evaluates whether disease clusters occur near a presumed source of risk, or it locates clustering without a known focus. Determine the significance of a cluster, where it is located, and when it arose.

 

ClusterSeer offers statistical methods not currently available in any other software. It can be used alone, or in conjunction with BoundarySeer for an even fuller perspective on your data.

 

ClusterSeer was developed at BioMedware, using grant funding from the National Cancer Institute. These grants were awarded through scientific peer review, validating the relevance and innovation of our approach.

ClusterSeer brings cluster detection software up to date. No other clustering product provides multiple comparison adjustments, as many cluster detection methods, nor any set of methods as current.

 

Cluster Detection methods

Spatial Clustering

Foucsed
Local
Global

Temporal Clustering
Space-Time Clustering
Retrospectivs Surveillance

Results Visualization

Maps
Histograms
Plots
Statistical Results Log

Technical Spec

Import file formats
Windows Operatind Systerms (95,NT 4.0 or more recent)

Expert Knowledge

Cluster Advisor
Comprehensive On-Line Help

Advanced Statistical Methods

Multiple Comparison Adjustment

ClusterSeer evaluates whether events occur near a presumed source of risk, or it locates clustering without a known focus by providing state-of-the-art statistical methods for assessing event clusters in space and time.

 

ClusterSeer contains 24 methods, including 15 additional spatial, temporal and spatial-temporal clustering methods, along with the ability to save project sessions, import DBF files, export images, and load in data to supplement your maps. The most comprehensive cluster software available, ClusterSeer contains updated versions of all the methods previously found in Stat!.

 

ClusterSeer can be used alone, or in conjunction with SpaceStat or BoundarySeer for an even fuller perspective on your data.

 

ClusterSeer was developed at BioMedware, using grant funding from the National Cancer Institute. These grants were awarded through scientific peer review, validating the relevance and innovation of our approach.

ClusterSeer requires the following Windows Operating Systems:

Windows 95 or Windows NT 4.0 or more recent operating system

Screen resolution of 800 x 600 or finer for best viewing of the maps and graphics

256 colors or better highly recommended for graphics


© Copyright 2004-2017 TerraSeer Inc.

Software che utilizza metodi avanzati per la determinazione della significatività statistica di un cluster, della sua collocazione geografica, e del momento in cui si è manifestato. Permette di comprendere le origini, le cause, e le correlazioni tra malattie.