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HHS Recovery Act Recipient Reporting Readiness Tool

Step 4. Review and Copy the Grant Awards Data

TAGGS provides some – but not all – of the data needed for the Recipient Report. Recipients are responsible for directly collecting and reporting all required data to FederalReporting.gov. Data that HHS does not currently collect are highlighted in yellow. Do not copy this highlighted information. Please enter the appropriate data for your organization in these required fields. For assistance with entering these data please contact FederalReporting.gov.

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Award Detail for: META-ANALYSIS SYSTEMATIC AND DESIGN ERRORS: ALCOHOL USE AND DISEASE OUTCOMES
SCIENTIFIC ANALYSIS CORPORATION
DUNS Number: 044875854
390 FOURTH STREET
SAN FRANCISCO, CA 94107-1227
Recipient Report: Grant or Loan
Prime Recipient

Reporting Information
Award Type Award Number Final Report
Grant 5RC1AA018907-02 Recipient responsible for this data

Award Recipient Information
Recipient DUNS Number Recipient Account Number Recipient Congressional District
044875854 Recipient responsible for this data 8

Award Information
Funding Agency Code Awarding Agency Code Award Date
7529 7529 08-10-2010
Amount of Award Sub Account Number for Program Source (TAS)  
$ 491,984 Recipient responsible for this data
Program Source (TAS)* CFDA Number 
750909 93.701
Total Number of Sub Awards to Individuals Total Amount of Sub Awards to Individuals
Recipient responsible for this data Recipient responsible for this data
Total Number of Payments to Vendors less than $25,000/award Total Amount of Payments to Vendors less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Total Number of Sub Awards less than $25,000/award Total Amount of Sub Awards less than $25,000/award
Recipient responsible for this data Recipient responsible for this data
Award Description
6. Project Summary/Abstract This application addresses broad challenge Area (05) Comparative Effectiveness Research (CER) and specific challenge topic, 05-AA-101 Innovative Analyses of Existing Clinical Datasets. The focus of this 24 month project is to test hypotheses regarding postulated associations between alcohol consumption and the risk of disease outcomes that have emanated from three types of epidemiological research designs: cohort studies, population case-control studies and hospital case-control studies. The general aim is to test hypotheses regarding possible systematic errors in epidemiological studies. Meta- analyses will be used to determine whether different methods and designs in these studies can unduly bias results towards: (i) creating apparent protection from alcohol use against some diseases; (ii) masking potentially statistically significant associations; (iii) contributing to 'mixed' outcomes that defy a clear resolution; and (iv) influencing the size and significance for established alcohol-disease associations. All known epidemiological studies, if applicable, that have evaluated alcohol use and, respectively, ischemic stroke, dementia/Alzheimer's, hemorrhagic stroke, and colorectal cancer will be compared. The following hypotheses will be tested: i) Systematic misclassification error, whereby 'abstainer' groups erroneously include people who had reduced or stopped drinking due to increasing age or ill-health, biases towards finding that 'light/moderate' use of alcohol 'protects' against certain disease; ii) Studies employing prospective designs are more prone to systematic misclassification error and hence more likely to show J- shape curves (i.e. protective effects), whereas case-control studies are less likely to suffer from systematic misclassification error and hence more likely to show positive linear associations; iii) Controlling for design characteristics likely to increase systematic misclassification error across a range of different studies will bring study outcomes into closer agreement (e.g. control for proximity of the measure of alcohol consumption to disease incidence, exclusion of subjects with pre-existing illness in comparison groups); iv) Systematic misclassification error will reduce the size and significance of positive linear associations between alcohol consumption and disease. The project will advance the understanding of alcohol's contribution to a range of chronic diseases and improve estimates of alcohol-attributable mortality and morbidity. It should clarify the evidentiary basis for advice from clinical practice and contribute understanding to national and international strategies to reduce the harm from alcoholic beverages.

Project Information
Project Name or
Project/Program Title
Project Status Total Federal Amount ARRA Funds
Received/Invoiced
META-ANALYSIS SYSTEMATIC AND DESIGN ERRORS: ALCOHOL USE AND DISEASE OUTCOMES Recipient responsible for this data Recipient responsible for this data
Number of Jobs Description of Jobs Created
Recipient responsible for this data Recipient responsible for this data
Quarterly Activities/Project Description
Recipient responsible for this data
 
Activity Code (NAICS or NTEE-NPC)
1Recipient responsible for this data2Recipient responsible for this data
3Recipient responsible for this data4Recipient responsible for this data
5Recipient responsible for this data6Recipient responsible for this data
7Recipient responsible for this data8Recipient responsible for this data
9Recipient responsible for this data10Recipient responsible for this data
Total Federal Amount of ARRA
Expenditure
Total Federal ARRA
Infrastructure Expenditure
Infrastructure Contact Name
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Email Infrastructure Contact Phone Infrastructure Contact Phone Ext.
Recipient responsible for this data Recipient responsible for this data Recipient responsible for this data
Infrastructure Contact Street Address 1 Infrastructure Contact Street Address 2 Infrastructure Contact Street Address 3
390 FOURTH STREET Not Available Recipient responsible for this data
Infrastructure City Infrastructure State Infrastructure ZIP Code+4
SAN FRANCISCO CA 94107-1227
Infrastructure Purpose and Rationale
Recipient responsible for this data

Primary Place of Performance
Street Address 1 Street Address 2 City
Not Available Recipient responsible for this data SAN FRANCISCO
State Zip Code+4 Congressional District
CA 94107 8
Country  
US

Recipient Highly Compensated Officers
Prime Recipient Indication of Reporting Applicability # Officer Name Officer Compensation
Recipient responsible for this data 1 Recipient responsible for this data Recipient responsible for this data
2 Recipient responsible for this data Recipient responsible for this data
3 Recipient responsible for this data Recipient responsible for this data
4 Recipient responsible for this data Recipient responsible for this data
5 Recipient responsible for this data Recipient responsible for this data

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The information provided by this tool is baseline data that the Recipient should include in the Recipient Report that must be submitted to FederalReporting.gov beginning October 1, 2009. The data from this tool can be cut and pasted directly into the Recipient Report.