Is Reduction of Pocket Probing Depth Correlated with the Baseline Value or is it “Mathematical Coupling”?
Previous studies using correlation or regression analysis have showed that treatment effects measured by the change in clinical parameters are often associated with baseline values of the same parameters. These studies, however, have a methodological weakness. Correlation/regression between baseline...
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| Veröffentlicht in: | Journal of dental research 2002-10, Vol.81 (10), p.722-726 |
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| container_title | Journal of dental research |
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| creator | Tu, Y.-K. Gilthorpe, M.S. Griffiths, G.S. |
| description | Previous studies using correlation or regression analysis have showed that treatment
effects measured by the change in clinical parameters are often associated with
baseline values of the same parameters. These studies, however, have a methodological
weakness. Correlation/regression between baseline measures and the derived change
variable invalidates the statistical procedures of testing the null hypothesis: that
the coefficient of correlation/regression is zero. This is due to the phenomenon of
mathematical coupling. To investigate the impact that this has on the observed
correlation/regression coefficient when in reality this is zero, we used random
simulations of hypothetical data to model the treatment of periodontal pockets.
Results showed a strong probability of obtaining statistically significant
correlation/regression coefficients. To separate this artificial effect of
mathematical coupling from the true underlying biological relationship, one must
apply appropriate analytical strategies to re-evaluate previous evidence within the
periodontal literature. |
| doi_str_mv | 10.1177/154405910208101013 |
| format | Article |
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effects measured by the change in clinical parameters are often associated with
baseline values of the same parameters. These studies, however, have a methodological
weakness. Correlation/regression between baseline measures and the derived change
variable invalidates the statistical procedures of testing the null hypothesis: that
the coefficient of correlation/regression is zero. This is due to the phenomenon of
mathematical coupling. To investigate the impact that this has on the observed
correlation/regression coefficient when in reality this is zero, we used random
simulations of hypothetical data to model the treatment of periodontal pockets.
Results showed a strong probability of obtaining statistically significant
correlation/regression coefficients. To separate this artificial effect of
mathematical coupling from the true underlying biological relationship, one must
apply appropriate analytical strategies to re-evaluate previous evidence within the
periodontal literature.</description><identifier>ISSN: 0022-0345</identifier><identifier>EISSN: 1544-0591</identifier><identifier>DOI: 10.1177/154405910208101013</identifier><identifier>PMID: 12351673</identifier><identifier>CODEN: JDREAF</identifier><language>eng</language><publisher>United States: SAGE Publications</publisher><subject>Algorithms ; Dentistry ; Humans ; Likelihood Functions ; Models, Statistical ; Periodontal Pocket - therapy ; Probability ; Regression Analysis ; Research Design - statistics & numerical data ; Statistics, Nonparametric</subject><ispartof>Journal of dental research, 2002-10, Vol.81 (10), p.722-726</ispartof><rights>International and American Associations for Dental Research</rights><rights>Copyright American Association for Dental Research/American Academy of Implant Dentistry Oct 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-ea71837080a6da278ca71a31a847f7b695909221532926c6c49a2cb215572e893</citedby><cites>FETCH-LOGICAL-c395t-ea71837080a6da278ca71a31a847f7b695909221532926c6c49a2cb215572e893</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/154405910208101013$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/154405910208101013$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,777,781,21800,27905,27906,43602,43603</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12351673$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tu, Y.-K.</creatorcontrib><creatorcontrib>Gilthorpe, M.S.</creatorcontrib><creatorcontrib>Griffiths, G.S.</creatorcontrib><title>Is Reduction of Pocket Probing Depth Correlated with the Baseline Value or is it “Mathematical Coupling”?</title><title>Journal of dental research</title><addtitle>J Dent Res</addtitle><description>Previous studies using correlation or regression analysis have showed that treatment
effects measured by the change in clinical parameters are often associated with
baseline values of the same parameters. These studies, however, have a methodological
weakness. Correlation/regression between baseline measures and the derived change
variable invalidates the statistical procedures of testing the null hypothesis: that
the coefficient of correlation/regression is zero. This is due to the phenomenon of
mathematical coupling. To investigate the impact that this has on the observed
correlation/regression coefficient when in reality this is zero, we used random
simulations of hypothetical data to model the treatment of periodontal pockets.
Results showed a strong probability of obtaining statistically significant
correlation/regression coefficients. To separate this artificial effect of
mathematical coupling from the true underlying biological relationship, one must
apply appropriate analytical strategies to re-evaluate previous evidence within the
periodontal literature.</description><subject>Algorithms</subject><subject>Dentistry</subject><subject>Humans</subject><subject>Likelihood Functions</subject><subject>Models, Statistical</subject><subject>Periodontal Pocket - therapy</subject><subject>Probability</subject><subject>Regression Analysis</subject><subject>Research Design - statistics & numerical data</subject><subject>Statistics, Nonparametric</subject><issn>0022-0345</issn><issn>1544-0591</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kctKAzEYhYMoWi8v4EKCC3ejucwkk5VovYKiiLod0vRvjc5MapJB3PVB9OV8ElNaEBQki5DDd87_k4PQNiX7lEp5QIs8J4WihJGSknT4EurNxGymLqMeIYxlhOfFGloP4ZkQqljJV9EaZbygQvIeai4DvoNhZ6J1LXYjfOvMC0R8693AtmN8ApP4hPvOe6h1hCF-s-kdnwAf6wC1bQE_6roD7Dy2AduIv6Yf1zoBjY7W6Dp5u0nixl_Tz8NNtDLSdYCtxb2BHs5O7_sX2dXN-WX_6CozXBUxAy1pySUpiRZDzWRpkqA51WUuR3IgVKGIYowWnCkmjDC50swMklBIBqXiG2hvnjvx7rWDEKvGBgN1rVtwXagko0wIQRO4-wt8dp1v024VIyrPpch5gtgcMt6F4GFUTbxttH-vKKlmTVR_m0imnUVyN2hg-GNZfH0CDuZA0GP4GftP5DftLpAK</recordid><startdate>200210</startdate><enddate>200210</enddate><creator>Tu, Y.-K.</creator><creator>Gilthorpe, M.S.</creator><creator>Griffiths, G.S.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RQ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope><scope>U9A</scope><scope>7X8</scope></search><sort><creationdate>200210</creationdate><title>Is Reduction of Pocket Probing Depth Correlated with the Baseline Value or is it “Mathematical Coupling”?</title><author>Tu, Y.-K. ; 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effects measured by the change in clinical parameters are often associated with
baseline values of the same parameters. These studies, however, have a methodological
weakness. Correlation/regression between baseline measures and the derived change
variable invalidates the statistical procedures of testing the null hypothesis: that
the coefficient of correlation/regression is zero. This is due to the phenomenon of
mathematical coupling. To investigate the impact that this has on the observed
correlation/regression coefficient when in reality this is zero, we used random
simulations of hypothetical data to model the treatment of periodontal pockets.
Results showed a strong probability of obtaining statistically significant
correlation/regression coefficients. To separate this artificial effect of
mathematical coupling from the true underlying biological relationship, one must
apply appropriate analytical strategies to re-evaluate previous evidence within the
periodontal literature.</abstract><cop>United States</cop><pub>SAGE Publications</pub><pmid>12351673</pmid><doi>10.1177/154405910208101013</doi><tpages>5</tpages></addata></record> |
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| source | MEDLINE; SAGE Complete A-Z List |
| subjects | Algorithms Dentistry Humans Likelihood Functions Models, Statistical Periodontal Pocket - therapy Probability Regression Analysis Research Design - statistics & numerical data Statistics, Nonparametric |
| title | Is Reduction of Pocket Probing Depth Correlated with the Baseline Value or is it “Mathematical Coupling”? |
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