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CANCER SCREENING PROCEDURES

Award Information
Agency: Department of Health and Human Services
Branch: N/A
Contract: N/A
Agency Tracking Number: 1391
Amount: $48,254.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1984
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
29 Lee Terrace
Short Hills, NJ 07078
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 ILBOK LEE
 PRINCIPAL BIOSTATISTICIAN
 () -
Business Contact
Phone: () -
Research Institution
N/A
Abstract

IN THE AREAS OF CANCER RESEARCH THE STATISTICAL PROCEDURES THAT ARE DEVELOPED ARE USUALLY APPLIED TO AD HOC SITUATIONS. FOR EXAMPLE, MOST STATISTICAL PROCEDURES IN CLINICAL TRIAL EVALUATIONS FOCUS ON A PARTICULAR TREATMENT REGIMEN THAT IS EFFECTIVE AGAINST A SPECIFIC TYPE OF CANCER. ON THE OTHER HAND, RELIABILITY GROWTH MODEL METHODS CAN BE USED TO ANALYZE A SEQUENCE OF CLINICAL TRIALS THAT HAS OCCURRED OVER A PERIOD OF YEARS TO ASSESS THE GROWTH IN THE SUCCESS IN TREATING A GIVEN CANCER AND PREDICT FUTURE SUCCESS PROBABILITIES. THE SPECIFIC PURPOSES OF THE PROPOSED RESEARCH ARE TO CONVERT THE DATA OBTAINED FROM PREVIOUS CLINICAL TRIALS ON SPECIFIED TYPES OF CANCER OR THE DATA ON BOTH SPECIFICITY AND SENSITIVITY IN CANCER SCREENING TESTS TO "SUCCESSES" AND "FAILURES" AS REQUIRED FOR ANALYSIS BY RELIABILITY GROWTH METHODOLOGY, TO ESTIMATE THE REQUISITE MODEL PARAMETERS AND TEST THE GOODNESS OF FIT OF THE MODEL TO THE DATA FOR THE PARAMETRIC CLASS OF MODELS, TO ASSESS THE APPLICABILITY OF THE NONPARAMETRIC AND BAYES PROCEDURES WHERE THE PARAMETRIC TECHNIQUES ARE NOT SUITABLE, AND TO EXTEND EXISTING MODELS TO ACCOUNT FOR SUCH FACTORS AS CLINICAL TRIALS LASTING FOR DIFFERENT LENGTHS OF TIME. THE PRINCIPAL RESEARCH AREAS ARE: FURTHER DEVELOPMENT OF PARAMETRIC RELIABILITY GROWTH MODELS, EXTENSIONS AND MODIFICATIONS OF THE NONPARAMETRIC MODELS WITH AN EMPHASIS ON BAYES AND EMPIRICAL BAYES TECHNIQUES AND APPLICATION AND EVALUATION OF EXISTING AND MODIFIED RELIABILITY GROWTH MODELS TO ASSESS CLINICAL TRIAL METHODOLOGY AND CANCER SCREENING PROCEDURES. METHODS DEVELOPED IN THE PROPOSED RESEARCH WILL PROVIDE INVALUABLE TOOLS FOR ASSESSING AND IN SOME INSTANCES PREDICTING PATTERNS OF RESPONSE IN SEVERAL AREAS OF CANCER RESEARCH, I.E., ASSESSING CHANGES IN RESPONSE RATES IN CANCER CLINICAL TRIALS AND ASSESSING CHANGES IN SENSITIVITY AND SPECIFICITY IN CANCER SCREENING PROCEDURES. THE EVALUATION OF DIFFERENT SCREENING PROCEDURES WILL BE INVALUABLE TO BOTH GOVERNMENT AND PRIVATE ENTERPRISE REPRESENTATIVES WHO JOINTLY SET POLICY ON THE VARIOUS SCREENING PROCEDURES.

* Information listed above is at the time of submission. *

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