Modeling Caries Experience: Advantages of the Use of the Hurdle Model
In dental epidemiology, the decayed (D), missing (M), and filled (F) teeth or surfaces index (DFM index) is a frequently used measure. The DMF index is characterized by a strongly positive skewed distribution with a large stack of zero counts for those individuals without caries experience. Therefor...
Gespeichert in:
| Veröffentlicht in: | Caries research 2016-01, Vol.50 (6), p.517-526 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 526 |
|---|---|
| container_issue | 6 |
| container_start_page | 517 |
| container_title | Caries research |
| container_volume | 50 |
| creator | Hofstetter, Hedwig Dusseldorp, Elise Zeileis, Achim Schuller, Annemarie A. |
| description | In dental epidemiology, the decayed (D), missing (M), and filled (F) teeth or surfaces index (DFM index) is a frequently used measure. The DMF index is characterized by a strongly positive skewed distribution with a large stack of zero counts for those individuals without caries experience. Therefore, standard generalized linear models often lead to a poor fit. The hurdle regression model is a highly suitable class to model a DMF index, but its use is subordinated. We aim to overcome the gap between the suitability of the hurdle model to fit DMF indices and the frequency of its use in caries research. A theoretical introduction to the hurdle model is provided, and an extensive comparison with the zero-inflated model is given. Using an illustrative data example, both types of models are compared, with a special focus on interpretation of their parameters. Accompanying R code and example data are provided as online supplementary material. |
| doi_str_mv | 10.1159/000448197 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_cross</sourceid><recordid>TN_cdi_gale_infotracacademiconefile_A637056173</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A637056173</galeid><sourcerecordid>A637056173</sourcerecordid><originalsourceid>FETCH-LOGICAL-c373t-5503abdbb2c1e2e542dc6e2463b14d7cde91576772e71419d01f515a6f14470c3</originalsourceid><addsrcrecordid>eNpt0c9LwzAUB_AgipvTg3eRghc9dOa1-dF6G2M6YeLFgbeSJq-z2rUzaUX_ezM3B4LkkMfj8w2PPEJOgQ4BeHpNKWUsgVTukT6wCMJUiud90vf9JBRcJD1y5NwrpcCESA5JL5IiTlNI-mTy0BisynoRjJUt0QWTzxX6otZ4E4zMh6pbtfDtpgjaFwzmDn_LaWdNhcFP_pgcFKpyeLK9B2R-O3kaT8PZ4939eDQLdSzjNuScxio3eR5pwAg5i4wWGDER58CM1AZT4FJIGaEEBqmhUHDgShTAmKQ6HpDLzbsr27x36NpsWTqNVaVqbDqXQcJBpDQSzNOLDV2oCrOyLprWKr3m2UjEknIBMvZq-I_yx-Cy1E2NRen7fwJXm4C2jXMWi2xly6WyXxnQbL2MbLcMb8-303b5Es1O_v6-B2cb8KbsAu0ObPPfCEyJOg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1851690264</pqid></control><display><type>article</type><title>Modeling Caries Experience: Advantages of the Use of the Hurdle Model</title><source>Karger Journals</source><source>MEDLINE</source><creator>Hofstetter, Hedwig ; Dusseldorp, Elise ; Zeileis, Achim ; Schuller, Annemarie A.</creator><creatorcontrib>Hofstetter, Hedwig ; Dusseldorp, Elise ; Zeileis, Achim ; Schuller, Annemarie A.</creatorcontrib><description>In dental epidemiology, the decayed (D), missing (M), and filled (F) teeth or surfaces index (DFM index) is a frequently used measure. The DMF index is characterized by a strongly positive skewed distribution with a large stack of zero counts for those individuals without caries experience. Therefore, standard generalized linear models often lead to a poor fit. The hurdle regression model is a highly suitable class to model a DMF index, but its use is subordinated. We aim to overcome the gap between the suitability of the hurdle model to fit DMF indices and the frequency of its use in caries research. A theoretical introduction to the hurdle model is provided, and an extensive comparison with the zero-inflated model is given. Using an illustrative data example, both types of models are compared, with a special focus on interpretation of their parameters. Accompanying R code and example data are provided as online supplementary material.</description><identifier>ISSN: 0008-6568</identifier><identifier>EISSN: 1421-976X</identifier><identifier>DOI: 10.1159/000448197</identifier><identifier>PMID: 27639918</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Child ; Dental Anxiety ; Dental caries ; Dental Caries - diagnosis ; Dental Caries - epidemiology ; Dentistry ; Distribution ; DMF Index ; Epidemiologic methods ; Female ; Humans ; Incidence ; Male ; Models, Statistical ; Original Paper ; Poisson Distribution ; Regression Analysis ; Statistical models ; Surveys and Questionnaires</subject><ispartof>Caries research, 2016-01, Vol.50 (6), p.517-526</ispartof><rights>2016 S. Karger AG, Basel</rights><rights>2016 S. Karger AG, Basel.</rights><rights>COPYRIGHT 2016 S. Karger AG</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c373t-5503abdbb2c1e2e542dc6e2463b14d7cde91576772e71419d01f515a6f14470c3</citedby><cites>FETCH-LOGICAL-c373t-5503abdbb2c1e2e542dc6e2463b14d7cde91576772e71419d01f515a6f14470c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,2423,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27639918$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hofstetter, Hedwig</creatorcontrib><creatorcontrib>Dusseldorp, Elise</creatorcontrib><creatorcontrib>Zeileis, Achim</creatorcontrib><creatorcontrib>Schuller, Annemarie A.</creatorcontrib><title>Modeling Caries Experience: Advantages of the Use of the Hurdle Model</title><title>Caries research</title><addtitle>Caries Res</addtitle><description>In dental epidemiology, the decayed (D), missing (M), and filled (F) teeth or surfaces index (DFM index) is a frequently used measure. The DMF index is characterized by a strongly positive skewed distribution with a large stack of zero counts for those individuals without caries experience. Therefore, standard generalized linear models often lead to a poor fit. The hurdle regression model is a highly suitable class to model a DMF index, but its use is subordinated. We aim to overcome the gap between the suitability of the hurdle model to fit DMF indices and the frequency of its use in caries research. A theoretical introduction to the hurdle model is provided, and an extensive comparison with the zero-inflated model is given. Using an illustrative data example, both types of models are compared, with a special focus on interpretation of their parameters. Accompanying R code and example data are provided as online supplementary material.</description><subject>Child</subject><subject>Dental Anxiety</subject><subject>Dental caries</subject><subject>Dental Caries - diagnosis</subject><subject>Dental Caries - epidemiology</subject><subject>Dentistry</subject><subject>Distribution</subject><subject>DMF Index</subject><subject>Epidemiologic methods</subject><subject>Female</subject><subject>Humans</subject><subject>Incidence</subject><subject>Male</subject><subject>Models, Statistical</subject><subject>Original Paper</subject><subject>Poisson Distribution</subject><subject>Regression Analysis</subject><subject>Statistical models</subject><subject>Surveys and Questionnaires</subject><issn>0008-6568</issn><issn>1421-976X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpt0c9LwzAUB_AgipvTg3eRghc9dOa1-dF6G2M6YeLFgbeSJq-z2rUzaUX_ezM3B4LkkMfj8w2PPEJOgQ4BeHpNKWUsgVTukT6wCMJUiud90vf9JBRcJD1y5NwrpcCESA5JL5IiTlNI-mTy0BisynoRjJUt0QWTzxX6otZ4E4zMh6pbtfDtpgjaFwzmDn_LaWdNhcFP_pgcFKpyeLK9B2R-O3kaT8PZ4939eDQLdSzjNuScxio3eR5pwAg5i4wWGDER58CM1AZT4FJIGaEEBqmhUHDgShTAmKQ6HpDLzbsr27x36NpsWTqNVaVqbDqXQcJBpDQSzNOLDV2oCrOyLprWKr3m2UjEknIBMvZq-I_yx-Cy1E2NRen7fwJXm4C2jXMWi2xly6WyXxnQbL2MbLcMb8-303b5Es1O_v6-B2cb8KbsAu0ObPPfCEyJOg</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>Hofstetter, Hedwig</creator><creator>Dusseldorp, Elise</creator><creator>Zeileis, Achim</creator><creator>Schuller, Annemarie A.</creator><general>S. Karger AG</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>7X8</scope></search><sort><creationdate>20160101</creationdate><title>Modeling Caries Experience: Advantages of the Use of the Hurdle Model</title><author>Hofstetter, Hedwig ; Dusseldorp, Elise ; Zeileis, Achim ; Schuller, Annemarie A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c373t-5503abdbb2c1e2e542dc6e2463b14d7cde91576772e71419d01f515a6f14470c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Child</topic><topic>Dental Anxiety</topic><topic>Dental caries</topic><topic>Dental Caries - diagnosis</topic><topic>Dental Caries - epidemiology</topic><topic>Dentistry</topic><topic>Distribution</topic><topic>DMF Index</topic><topic>Epidemiologic methods</topic><topic>Female</topic><topic>Humans</topic><topic>Incidence</topic><topic>Male</topic><topic>Models, Statistical</topic><topic>Original Paper</topic><topic>Poisson Distribution</topic><topic>Regression Analysis</topic><topic>Statistical models</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hofstetter, Hedwig</creatorcontrib><creatorcontrib>Dusseldorp, Elise</creatorcontrib><creatorcontrib>Zeileis, Achim</creatorcontrib><creatorcontrib>Schuller, Annemarie A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Caries research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hofstetter, Hedwig</au><au>Dusseldorp, Elise</au><au>Zeileis, Achim</au><au>Schuller, Annemarie A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling Caries Experience: Advantages of the Use of the Hurdle Model</atitle><jtitle>Caries research</jtitle><addtitle>Caries Res</addtitle><date>2016-01-01</date><risdate>2016</risdate><volume>50</volume><issue>6</issue><spage>517</spage><epage>526</epage><pages>517-526</pages><issn>0008-6568</issn><eissn>1421-976X</eissn><abstract>In dental epidemiology, the decayed (D), missing (M), and filled (F) teeth or surfaces index (DFM index) is a frequently used measure. The DMF index is characterized by a strongly positive skewed distribution with a large stack of zero counts for those individuals without caries experience. Therefore, standard generalized linear models often lead to a poor fit. The hurdle regression model is a highly suitable class to model a DMF index, but its use is subordinated. We aim to overcome the gap between the suitability of the hurdle model to fit DMF indices and the frequency of its use in caries research. A theoretical introduction to the hurdle model is provided, and an extensive comparison with the zero-inflated model is given. Using an illustrative data example, both types of models are compared, with a special focus on interpretation of their parameters. Accompanying R code and example data are provided as online supplementary material.</abstract><cop>Basel, Switzerland</cop><pub>S. Karger AG</pub><pmid>27639918</pmid><doi>10.1159/000448197</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0008-6568 |
| ispartof | Caries research, 2016-01, Vol.50 (6), p.517-526 |
| issn | 0008-6568 1421-976X |
| language | eng |
| recordid | cdi_gale_infotracacademiconefile_A637056173 |
| source | Karger Journals; MEDLINE |
| subjects | Child Dental Anxiety Dental caries Dental Caries - diagnosis Dental Caries - epidemiology Dentistry Distribution DMF Index Epidemiologic methods Female Humans Incidence Male Models, Statistical Original Paper Poisson Distribution Regression Analysis Statistical models Surveys and Questionnaires |
| title | Modeling Caries Experience: Advantages of the Use of the Hurdle Model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T15%3A32%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Modeling%20Caries%20Experience:%20Advantages%20of%20the%20Use%20of%20the%20Hurdle%20Model&rft.jtitle=Caries%20research&rft.au=Hofstetter,%20Hedwig&rft.date=2016-01-01&rft.volume=50&rft.issue=6&rft.spage=517&rft.epage=526&rft.pages=517-526&rft.issn=0008-6568&rft.eissn=1421-976X&rft_id=info:doi/10.1159/000448197&rft_dat=%3Cgale_cross%3EA637056173%3C/gale_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1851690264&rft_id=info:pmid/27639918&rft_galeid=A637056173&rfr_iscdi=true |