Robust Missing Data Methods for Categorical Regression

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$1,853,950.00
Award Year:
2004
Program:
SBIR
Phase:
Phase II
Contract:
2R44AA013768-02
Agency Tracking Number:
AA013768
Solicitation Year:
2004
Solicitation Topic Code:
n/a
Solicitation Number:
PHS2004-2
Small Business Information
MARTINGALE RESEARCH CORPORATION
MARTINGALE RESEARCH CORPORATION, 3112 CONESTOGA DRIVE, PLANO, TX, 75074
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
STEVEN Henley
(972) 881-8370
STEVENH@MARTINGALE-RESEARCH.COM
Business Contact:
STEVEN HENLEY
(972) 881-8370
STENENH@MARTINGALE-RESEARCH.COM
Research Institution:
n/a
Abstract
DESCRIPTION (provided by applicant): Improved methods for obtaining robust statistical inferences from categorical regression models in the presence of missing data and model misspecification would be an invaluable tool to the epidemiological and health c

* information listed above is at the time of submission.

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