Ronald N Pearson

US Patent:

7650262, Jan 19, 2010

Filed:

Oct 25, 2005

Appl. No.:

11/257395

Inventors:

Ronald Pearson - Harrisburg PA, US
Robert J. Kingan - Peachtree City GA, US
Alan M. Hochberg - Harrisburg PA, US

Assignee:

Prosanos Corp. - La Jolla CA

International Classification:

G06F 17/10

US Classification:

703 2, 700 90, 702 19, 703 11

Abstract:

A computer-implemented method of analyzing a dataset of pharmacovigilance data, includes determining a sample size-independent measure of association between two conditions of interest in the dataset of pharmacovigilance data; using a hypergeometric distribution to determine a measure of statistical unexpectedness between the conditions of interest in said dataset, wherein the distribution is based on an urn model under a hypothesis that the conditions are statistically independent; and displaying the measure of association with the measure of the statistical unexpectedness to identify a significant association between conditions of interest.

US Patent:

8170889, May 1, 2012

Filed:

Sep 22, 2006

Appl. No.:

12/065631

Inventors:

Ronald K. Pearson - Harrisburg PA, US
Alan M. Hochberg - Harrisburg PA, US

Assignee:

UBC Late Stage, Inc. - Kansas City MO

International Classification:

G06F 19/00

US Classification:

705 3

Abstract:

A computer implemented method of evaluating interaction two or more medical products or conditions, in the context of a reference condition, based on a dataset of patient records includes developing a reference contingency lattice of lattice subsets from a subset of the patient records containing the reference condition, wherein the lattice subsets correspond to the number of patient records that contain each of the two or more medical products or conditions and combinations thereof. A plurality of comparison contingency lattices are developed, each of the comparison contingency lattices developed from a respective random subset of patient records not containing the reference condition, where each of the comparison contingency lattices include lattice subsets that correspond to the number of patient records that contain each of the two or more medical products or conditions and combinations thereof. The lattice subsets of the reference contingency lattice are compared to the corresponding lattice subsets of the comparison contingency lattices to determine whether a lattice subset is indicative of an interaction between the medical products or conditions with respect to the reference condition.