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------=_NextPart_01C54016.73435D60 content-location: file:///C:/996B6113/Belle-CrossCuttingDataAnalyticalIssues_files/pres.xml content-transfer-encoding: quoted-printable content-type: text/xml; charset="utf-8" ------=_NextPart_01C54016.73435D60 content-location: file:///C:/996B6113/Belle-CrossCuttingDataAnalyticalIssues_files/slide0036.htm content-transfer-encoding: quoted-printable content-type: text/html; charset="us-ascii" Data Archiving
Data Archiving and Management, and a Little About Cross-Site Analyses, Too

Steven Belle, Ph.D.
University of Pittsburgh

Statistical Consultant to MSRC
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ChxIsKDBgwgTviPAsKHDhxD/I0qcSLGixYsYM2rcyLGjx48gQ4ocSbKkyZMoU6pcybKly5cwY8qc SbOmzZs4c+rcybOnz59AgwodSrSo0aNIkypdyrSp06dQo0qlOaCq1atYs2rdyrWr169gw4odS7as 2bNo06pdy7at27dw48qdS7eu3bt48+rdy7ev37+AAwseTLiw4cOIEytenFWA48eQI0ueTLmy5cuY M2vezLmz58+gQ4seTbq06dOoU6tezbq169ewY8ueTbu27du4c+vezbu379/AgwsfTry48ePIkytf zry58+fQo0ufTt12gOvYs2vfzr279+/gw4sfT768+fPo06tfz769+/fw48ufcE+/vv37+PPr38+/ v///AAYo4IAEFmjggQgmqOCCDDbo4IMQRijhhBRWaOGFGGao4YYcdvgfACCGKOKIJJZo4okopqji iiy26OKLMMYo44w01mjjjTjmqOOOPPbo449ABinkkEQWaeSRSCap5JI/BgIAOw== ------=_NextPart_01C54016.73435D60 content-location: file:///C:/996B6113/Belle-CrossCuttingDataAnalyticalIssues_files/slide0001.htm content-transfer-encoding: quoted-printable content-type: text/html; charset="us-ascii" Data Archiving
Data Archiving
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WHY Archive?
•Enables replication
•
•Reduces costs
•
•Allows furt= her analyses including cross study
•
•Promotes new research
•
•Provides training opportunities and
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WHY Archive?
•NIH tells us to ?
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WHAT to Archive
= •Data
= •
= •Documentation
= •
Data = must be of high quality
Data = must be easy to use
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WHAT to Archive
•Q: How do we make sure that data to be archived are of high quality?
•
•A: Extensive quality control processes for = data collection, computerization, and management
•
Ø
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Data Management
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Quality Control Procedures
•Training= 3;
•
•Documentation
•
•Double entry / verification
•
•Range checks
•
•Logical consistency
•
•Audits
Range checks-impossible and improbable
Audit= s-data collection, data entry
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HOW to Archive
= •File preparation
= •
= •Documentation
= •
= •Transmission to archive
= •
= •Details are archive-specific (e.g., NACDA)
= •
= •
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File Preparation
ØAssure Participant Confidentiality !
Ø
<= span style=3D'mso-special-format:bullet;position:absolute;left:-3.74%;top:.1em; font-size:90%'>• Informed consent
<= span style=3D'mso-special-format:bullet;position:absolute;left:-3.74%;top:.1em; font-size:90%'>• HIPAA
<= span style=3D'mso-special-format:bullet;position:absolute;left:-3.74%;top:.1em; font-size:90%'>• Local statutes
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And A Little About Cross-Site Analyses, Too
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Cross-Site Studies
= •Are the studies “combinable”?
= •
= •Are the studies of high quality?
= •
= •Do the appropriate data exist?
= •
= •Are the data of high quality and useable?
= •
= •How are the analyses performed?
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Issues Complicating Cross-Site Analysis
= •Different interventions (active and control)
= •
= •Different recruitment strategies
= •
= •Different measures
= •
= •Different primary outcomes
= •
= •Different coding for common measures
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Issues Enabling Cross-Site Analysis<= /div>
•Common goals
•
•Common theoretical underpinnings
•
•Commitment
Ø Common “core” battery=
Ø Common data collection protocol&#= 13;
Ø Standard definitions <= /div>
Ø Training