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Exact Disease Cluster Statostocs for Structured Settings

Award Information

Agency:
Department of Health and Human Services
Branch:
N/A
Award ID:
22259
Program Year/Program:
1996 / SBIR
Agency Tracking Number:
22259
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Applied Biomathematics
100 North Country Rd. Setauket, NY -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1996
Title: Exact Disease Cluster Statostocs for Structured Settings
Agency: HHS
Contract: N/A
Award Amount: $439,747.00
 

Abstract:

Health professionals must often analyze disease cluster allegations made by concerned citizens who sense patterns within small structured environments. Examples include households, families, sibships, wards, cellblocks, classrooms, job types, age classes, and locations within a building. It is crucial for the health professional to know what tests are best in these small-environment problems. A few large-scale methods may be modified to handle small-environment problems. However, exact methods may be better because sample sizes are small. We have extended previous matrix-occupancy methods to yield new, rapid, and exact combinatorial expressions for analysis of patterns of diseased individuals. We will investigate the power of both these and other previously-published methods in structured small environments. To our knowledge, no such systematic investigation has been carried out. We expect that many test methods will be optimal in a restricted range of the parameter space, but not ideal elsewhere. Our long-range goal is to use the results of this power simulation to choose methods for incorporation into a user-friendly PC program that will analyze small structured environment data. We will also help the professional choose the right test method.

Principal Investigator:

Scott Ferson
5167514350

Business Contact:

Small Business Information at Submission:

Applied Biomathematics, Inc.
100 North Country Road Setauket, NY 11733

EIN/Tax ID: 112596502
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No