Alcohol-Related Categorical Variables

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$748,974.00
Award Year:
1995
Program:
SBIR
Phase:
Phase II
Contract:
1 N43 AA42009-00,
Agency Tracking Number:
24753
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Martingale Research
100 Allen Town Parkway, Allen, TX, 75002
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Robert Dawes
(214) 422-4570
Business Contact:
() -
Research Institution:
n/a
Abstract
Improved methods for identification of new longitudinal patterns of alcohol-related symptoms,administrative strategies, as well as medical and psychiatric conditions which effectively predict patientoutcome status in existing databases would be invaluable to local, county, state, and national groupsand agencies. We will develop constrained Categorical regression (CCR) software for integratingestablished principles of log-linear modeling, structured equation modeling, and rule-based systems intoa single software package. The CCR software improves the power of a statistical analysis by directlyincorporating the user's "intuitions" in a principled manner. These intuitions are formally representedas logical causal relationships. The proposed Phase I study will demonstrate using a databaserepresentative of pre-existing NIAAA sponsored databases: (1) that the CCR model is sensitive enoughto detect differences between distinct sets of logical causal relationships and patient/providersubpopulations, and (2) makes accurate predictions about the likelihoods of particular patient outcomes.The results obtained in the Phase I study provide the essential first steps for additional investigationsof model reliability, validity, and repeated measures for Phase II and form the foundation for developinga commercially available CCR software package.

* information listed above is at the time of submission.

Agency Micro-sites

US Flag An Official Website of the United States Government