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------=_NextPart_01C6F84B.9D605690 Content-Location: file:///C:/6E4BB24E/PaulWilliamsPresentation_files/master05.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C6F84B.9D605690 Content-Location: file:///C:/6E4BB24E/PaulWilliamsPresentation_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C6F84B.9D605690 Content-Location: file:///C:/6E4BB24E/PaulWilliamsPresentation_files/editdata.mso Content-Transfer-Encoding: base64 Content-Type: application/x-mso QWN0aXZlTWltZQAAAfAEAAAA/////wAAA/BEAAAADwCIFzwAAAAAAIkXNAAAAAAAAAAAAAAAAAAA AFgCAAAAAQEAAQEAAAEBAQABAAAAAAAAAADQAAAAAAAAAAAAAIACAeAAAAvwBAAAABI0Vng= ------=_NextPart_01C6F84B.9D605690 Content-Location: file:///C:/6E4BB24E/PaulWilliamsPresentation_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Statistical analyses in the real world
Statistical analyses in the real world
Paul Williams
Lawrence Berkeley National Laboratory
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Statistical significance
nTheory:  The probably of observing something by chance
nPractice: The accepted threshold
nP<0.05 is publishable
nP>0.05 is not publishable
nThe promise to produce P<0.05 is a prima= ry consideration for NIH funding
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Choice of an appropriate
statistical test
nFamiliarity to the reader, reviewer, granting agency
n&= #13;
nSuccinctness, in consideration of journal space, simplicity in presenting results
n&= #13;
nStatistical tests promise the world, which we can then promised to funding agencies, journals, etc.
------=_NextPart_01C6F84B.9D605690 Content-Location: file:///C:/6E4BB24E/PaulWilliamsPresentation_files/slide0012.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Statistical analyses in the real world
Classical regression model
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