BioMedware Blog Space
Announcing the release of SpaceStat 3.6 and Jacquez’ Q, our new case-control method
by Susan Hinton | May 20, 2012 | BioMedware News
With our latest release, we've included support for our new Q-statistic, appropriately named Jacquez' Q. Q-statistics were developed for evaluating space-time clustering in residential histories of case-control data (Jacquez et al., 2006). Representing...
Video: Geohealth Analysis and Data Visualization: Assessing and demonstrating relationships between dynamic local environments and human health outcomes.
by Susan Hinton | Mar 29, 2012 | BioMedware News
This presentation was given by Dr. Geoffrey Jacquez at the Population Health Data Analysis Conference on February 8th, 2012: Geohealth Analysis and Data Visualization: Assessing and demonstrating relationships between dynamic local environments and human health...
Directions Magazine profile of Geoffrey Jacquez, President, BioMedware
by Susan Hinton | Feb 27, 2012 | BioMedware News
From Directions Magazine: Meet Your Colleagues: Geoffrey Jacquez Ph.D. "This week, we introduce you to Geoffrey Jacquez, president of BioMedware, whose geohealth-focused scientific methods and software tools are used by public health departments around the...
Part 3: Spatial Autocorrelation and Clusters of Health Events
by Geoffrey Jacquez, Ph.D. | Jan 31, 2012 | Learn with BioMedware
Part 3 Neutral models This is the third in a series on spatial autocorrelation and clusters of health events. The first part presented a framework for analyzing disease clusters that builds on the principles of strong inference. Strong inference involves enumeration...
Part 2: Spatial Autocorrelation and Clusters of Health Events
by Geoffrey Jacquez, Ph.D. | Jan 24, 2012 | Learn with BioMedware
Part 2 Sources of Spatial Autocorrelation Summary: This blog presents several of the sources of spatial autocorrelation in health event data. Many of these could plausibly lead to clusters of health events, others (such as interpolation autocorrelation) may act...
Part 1: Spatial Autocorrelation and Clusters of Health Events
by Geoffrey Jacquez, Ph.D. | Jan 15, 2012 | Learn with BioMedware
Part 1 Strong Inference The Centers for Disease Control as well as state and local health agencies use information on clusters of health events to respond to cluster allegations brought forward by a concerned public; identify impacted local populations (where are...
Directions Magazine: Geocoding Comes to the Forefront
by Geoffrey Jacquez, Ph.D. | Jan 4, 2012 | Article
A report from the First International Geospatial Geocoding Conference (IGGC) by Daniel W. Goldberg and Geoffrey M. Jacquez provides an overview of the intensive 2-day information sharing event attended by geocoding users, developers, scientists and researchers.
The First International Geospatial Geocoding Conference (Redlands, California – Dec 6-7, 2011)
by Geoffrey Jacquez, Ph.D. | Dec 20, 2011 | Article
By Geoffrey M. Jacquez, PhD (BioMedware) and Daniel Goldberg, PhD (University of Southern California) This blog provides a quick take on the First International Geospatial Geocoding Conference. I am pleased to write this blog with Dan Goldberg, conference...
The small numbers problem Part 3: Diagnostics for the small numbers problem
by Geoffrey Jacquez, Ph.D. | Nov 14, 2011 | Learn with BioMedware
To follow along with the analyses in this blog, download and install a trial version of SpaceStat here. An earlier blog defined the small numbers problem and illustrated that rates calculated with small denominators (e.g. small at-risk populations) have high variance...
BioMedware: November 2011 Newsletter
by Susan Hinton | Nov 4, 2011 | News
Announcing SpaceStat 3.5 with Geostatistical Discretization and Deconvolution Our new SpaceStat release expands support for kriging methods by adding discretization and deconvolution, providing the ability to perform kriging from one geography to another. We've...