Concepts determining statistical analysis of dental data
This paper reviews some approaches to statistical analysis of dental data. Often dental data consist of more than one observation per patient which may not be independent, and consequently some standard statistical methods based on independence of all observations are inappropriate. This paper seeks...
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Veröffentlicht in: | Journal of clinical periodontology 1990-03, Vol.17 (3), p.153-158 |
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container_title | Journal of clinical periodontology |
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creator | McDonald, Barry W. Pack, Angela R. C. |
description | This paper reviews some approaches to statistical analysis of dental data. Often dental data consist of more than one observation per patient which may not be independent, and consequently some standard statistical methods based on independence of all observations are inappropriate. This paper seeks to make the dental researcher and the consulting statistician aware of some of the efficient approaches that can be used to analyse the data successfully. No specialist statistical knowledge is assumed. Rather the goal is to increase awareness of what can be done. The statistical layman is introduced to some basic concepts, while references are given for the mathematically‐minded reader. The data of Pack, Coxhead and McDonald is used as a springboard for this discussion. |
doi_str_mv | 10.1111/j.1600-051X.1990.tb01079.x |
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The data of Pack, Coxhead and McDonald is used as a springboard for this discussion.</description><identifier>ISSN: 0303-6979</identifier><identifier>EISSN: 1600-051X</identifier><identifier>DOI: 10.1111/j.1600-051X.1990.tb01079.x</identifier><identifier>PMID: 2180990</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>binary data ; correlation ; Data Interpretation, Statistical ; Dentistry ; Humans ; Liang-Zeger statistical method ; Logistic Models ; Multivariate Analysis ; Normal Distribution ; periodontal data ; Periodontal Diseases - epidemiology ; Regression Analysis ; site-dependent covariates ; Stomatognathic Diseases - epidemiology</subject><ispartof>Journal of clinical periodontology, 1990-03, Vol.17 (3), p.153-158</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4083-d017e1fd8c9caaf7c562fcf83fdc4b2f32e7327964557c80cf7efbf2908e4b7a3</citedby><cites>FETCH-LOGICAL-c4083-d017e1fd8c9caaf7c562fcf83fdc4b2f32e7327964557c80cf7efbf2908e4b7a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1600-051X.1990.tb01079.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1600-051X.1990.tb01079.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/2180990$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McDonald, Barry W.</creatorcontrib><creatorcontrib>Pack, Angela R. C.</creatorcontrib><title>Concepts determining statistical analysis of dental data</title><title>Journal of clinical periodontology</title><addtitle>J Clin Periodontol</addtitle><description>This paper reviews some approaches to statistical analysis of dental data. Often dental data consist of more than one observation per patient which may not be independent, and consequently some standard statistical methods based on independence of all observations are inappropriate. This paper seeks to make the dental researcher and the consulting statistician aware of some of the efficient approaches that can be used to analyse the data successfully. No specialist statistical knowledge is assumed. Rather the goal is to increase awareness of what can be done. The statistical layman is introduced to some basic concepts, while references are given for the mathematically‐minded reader. The data of Pack, Coxhead and McDonald is used as a springboard for this discussion.</description><subject>binary data</subject><subject>correlation</subject><subject>Data Interpretation, Statistical</subject><subject>Dentistry</subject><subject>Humans</subject><subject>Liang-Zeger statistical method</subject><subject>Logistic Models</subject><subject>Multivariate Analysis</subject><subject>Normal Distribution</subject><subject>periodontal data</subject><subject>Periodontal Diseases - epidemiology</subject><subject>Regression Analysis</subject><subject>site-dependent covariates</subject><subject>Stomatognathic Diseases - epidemiology</subject><issn>0303-6979</issn><issn>1600-051X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqVkM9LwzAUx4Moc07_BGF48Nb60rRN40WkzM4x1MNEbyFNE-nsj9lkuP33pqzs7rs8eN8fDz4I3WDwsZu7tY9jAA8i_OljxsC3OWCgzN-doPFROkVjIEC8mFF2ji6MWQNgSggZoVGAE3DBMUrStpFqY820UFZ1ddmUzdfUWGFLY0spqqloRLU3pZm22nka606FsOISnWlRGXU17Al6f5qt0rm3fM2e08elJ0NIiFe4lwrrIpFMCqGpjOJAS50QXcgwDzQJFCUBZXEYRVQmIDVVOtcBg0SFORVkgm4PvZuu_dkqY3ldGqmqSjSq3RpOGQVMYuaM9wej7FpjOqX5pitr0e05Bt5j42ves-E9G95j4wM2vnPh6-HLNq9VcYwOnJz-cNB_y0rt_9HMF-nbDEfENXiHBsdV7Y4NovvmMSU04h8vGf9cZQsSZBmfkz_MCY10</recordid><startdate>199003</startdate><enddate>199003</enddate><creator>McDonald, Barry W.</creator><creator>Pack, Angela R. C.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><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>7X8</scope></search><sort><creationdate>199003</creationdate><title>Concepts determining statistical analysis of dental data</title><author>McDonald, Barry W. ; Pack, Angela R. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4083-d017e1fd8c9caaf7c562fcf83fdc4b2f32e7327964557c80cf7efbf2908e4b7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>binary data</topic><topic>correlation</topic><topic>Data Interpretation, Statistical</topic><topic>Dentistry</topic><topic>Humans</topic><topic>Liang-Zeger statistical method</topic><topic>Logistic Models</topic><topic>Multivariate Analysis</topic><topic>Normal Distribution</topic><topic>periodontal data</topic><topic>Periodontal Diseases - epidemiology</topic><topic>Regression Analysis</topic><topic>site-dependent covariates</topic><topic>Stomatognathic Diseases - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McDonald, Barry W.</creatorcontrib><creatorcontrib>Pack, Angela R. 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C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Concepts determining statistical analysis of dental data</atitle><jtitle>Journal of clinical periodontology</jtitle><addtitle>J Clin Periodontol</addtitle><date>1990-03</date><risdate>1990</risdate><volume>17</volume><issue>3</issue><spage>153</spage><epage>158</epage><pages>153-158</pages><issn>0303-6979</issn><eissn>1600-051X</eissn><abstract>This paper reviews some approaches to statistical analysis of dental data. Often dental data consist of more than one observation per patient which may not be independent, and consequently some standard statistical methods based on independence of all observations are inappropriate. This paper seeks to make the dental researcher and the consulting statistician aware of some of the efficient approaches that can be used to analyse the data successfully. No specialist statistical knowledge is assumed. Rather the goal is to increase awareness of what can be done. The statistical layman is introduced to some basic concepts, while references are given for the mathematically‐minded reader. The data of Pack, Coxhead and McDonald is used as a springboard for this discussion.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>2180990</pmid><doi>10.1111/j.1600-051X.1990.tb01079.x</doi><tpages>6</tpages></addata></record> |
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source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
subjects | binary data correlation Data Interpretation, Statistical Dentistry Humans Liang-Zeger statistical method Logistic Models Multivariate Analysis Normal Distribution periodontal data Periodontal Diseases - epidemiology Regression Analysis site-dependent covariates Stomatognathic Diseases - epidemiology |
title | Concepts determining statistical analysis of dental data |
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