SBIR/STTR Research Award

INFORMATION BASED DESIGN AND INTERIM MONITORING SOFTWARE

Award identifier 9ac92eaf335e712c5c16a82ba6e3e66b44d3d05db60b3b5ff1720616e4b62267Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$0

Program and phase

SBIR · Phase I

Award year

2001

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
CYTEL SOFTWARE CORPORATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
Q8YMW6T664Q5
Solicitation number
Not reported
Topic code
Not reported

Research abstract

DESCRIPTION: It is now standard practice to incorporate formal sequential monitoring procedures into the design and conduct of long term randomized clinical trials. Interim monitoring provides an advance determination of efficacy and safety so that a data and safety monitoring board can decide whether to terminate the study early. However the integrity of a study can be seriously compromised if the accruing data are monitored inappropriately. One then runs the risk of attributing chance fluctuations in the data to a real therapeutic effect. Hence one needs specialized statistical methods and accompanying software that can balance the ethical and economic advantages of stopping a study early against the risk of an incorrect conclusion. Research has progressed rapidly in this area over the past two decades and methods have been developed to meet the key practical needs. These methods are not yet accessible to clinical trials practitioners because there exists no friendly, professionally developed and validated software implementing them on a popular platform such as Microsoft Windows. This Phase II SBIR proposal is intended to fill this void. The goal is to complete the development of WinEaSt, a Windows package for the design and interim monitoring of group sequential clinical trials. When completed, WinEaSt will: (1) Perform group-sequential inference for the parameters of interest from practically any type of mathematical model including generalized linear models, parametric and semi-parametric survival models and mixed models for longitudinal studies. (2) Permit adaptive re-estimation of sample size, accrual period, total study duration and other design parameters, at each interim monitoring time-point using information-based monitoring. PROPOSED COMMERCIAL APPLICATION: NOT AVAILABLE

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

35 SBIR/STTR records share this UEI (1985–2015). Reported award amounts total $10,481,064. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Defense, National Science Foundation

Agency intelligence

Department of Health and Human Services

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