Combining data types in meta analysis

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$988,866.00
Award Year:
2003
Program:
SBIR
Phase:
Phase II
Contract:
4R44AG021360-02
Award Id:
60419
Agency Tracking Number:
AG021360
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
BIOSTATISTICAL PROGRAMMING, INC., 14 N DEAN ST, ENGLEWOOD, NJ, 07631
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
MICHAEL BORENSTEIN
(201) 541-5688
MICHAELB@POWERANDPRECISION.COM
Business Contact:
MICHAEL BORENSTEIN
(201) 541-5688
MICHAELB@POWERANDPRECISION.COM
Research Institution:
n/a
Abstract
DESCRIPTION (provided by applicant): Over the past decade, meta analysis has come to play a key role in setting policy and also in planning new research. In gerontology, recent meta analyses have led to treatment recommendations or new insights in such areas as memory loss with normal aging, identifying, predicting, and treating Alzheimer's disease and dementia, depression in the elderly, perceptions of the elderly, disease prevention in the elderly, bone density loss and hip fractures, stroke, heart disease and aneurysms, and Parkinson's Disease, among many others. Under an earlier SBIR project, we developed a program for meta analysis. This program, Comprehensive Meta Analysis, is widely recognized as an exceptionally important resource for meta analysis. It is currently used by many government agencies, including the FDA and CDC, many of the major pharmaceutical companies, as well as thousands of universities, medical schools, and research organizations. In the current project, we will expand the program in four ways: We will add the ability to work with new classes of data, to accept data in additional formats, to display analyses using additional indices of effect size, and to include more than one class of data in the same analysis.

* information listed above is at the time of submission.

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