The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method
Background/Objectives: The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a...
Gespeichert in:
Veröffentlicht in: | European journal of clinical nutrition 2011-07, Vol.65 (S1), p.S87-S91 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | S91 |
---|---|
container_issue | S1 |
container_start_page | S87 |
container_title | European journal of clinical nutrition |
container_volume | 65 |
creator | Harttig, U Haubrock, J Knüppel, S Boeing, H |
description | Background/Objectives:
The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a food can be included as a covariate in the model estimating the intake, as well as a parameter for identifying consumers and non-consumers. The objective was to implement the MSM algorithms into an easy-to-use statistical program package.
Subjects/Methods:
The implementation was realized as a web-based application using the Perl application framework Catalyst. As the engine for the statistical calculations, the R system was used. To allow simultaneous use of the program by different users, a multiuser system with a resource bag pattern design was implemented.
Results:
We established a software program that implements the algorithms of the MSM and allows interactive usage of the method, using standard web technologies. The program is hosted on a website established at the DIFE and can be accessed at
https://nugo.dife.de/msm
. The communication between users and the program web site is encrypted, securing transmitted data against unauthorized use. Users can interactively import several data sets, define the analysis model, review and export results and graphs. The use of the program is supported by online help and a user guide.
Conclusions:
The MSM website provides a program package that allows nutritional scientists to calculate usual dietary intakes by combining short-term and long-term measurements (multiple sources). It promotes simple access to the MSM to estimate usual food intake for individuals and populations. |
doi_str_mv | 10.1038/ejcn.2011.92 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_877405953</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A261151799</galeid><sourcerecordid>A261151799</sourcerecordid><originalsourceid>FETCH-LOGICAL-c678t-1efac47988e969bd938b243aee1bc029292905d7779b77a4cedd68682b01270d3</originalsourceid><addsrcrecordid>eNp10s1v0zAUAHALgVgZ3DgjCwRcSLEdJ7a5TRNf0iYOG-fIcV5Sd65TbEdo_z2OWlaGOvkQxe_3np2Xh9BLSpaUlPIjrI1fMkLpUrFHaEG5qIuq5uQxWhBV8aIkRJygZzGuCclBwZ6iE0ZFSXPKAoXrFeDLq0u8DeMQ9OYT_g1t0eoIHY5JJxuTNRFvtbnRA-B-DBjy1iZH_ICnOGmHOwtJh1tsfdI3kDfnUJrrTi7ZrQN8NU7B5HdIq7F7jp702kV4sX-eop9fPl-ffysufnz9fn52UZhayFRQ6LXhQkkJqlZtp0rZMl5qANoawtS8SNUJIVQrhOYGuq6WtWQtoUyQrjxF73d186f9mvKtm42NBpzTHsYpNlIITipVlVm-_k-u84V9vlxGkvCKl1VGbx5CrOZMMsGIPKhBO2is78cUtJkPbs5YTWlFhVJZFUfUAB6CdqOH3ubte355xOfVwcaaownv_klYgXZpFUc3JTv6eB9-2EETxhgD9M025L8bbhtKmnm-mnm-mnm-GsUyf7VvwtRuoLvDfwcqg7d7oKPRrg_aGxsPjpdktocOxBzyA4RDNx84GO-812kKcFdwRrPJ5A-plu6b</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2642827208</pqid></control><display><type>article</type><title>The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Harttig, U ; Haubrock, J ; Knüppel, S ; Boeing, H</creator><creatorcontrib>Harttig, U ; Haubrock, J ; Knüppel, S ; Boeing, H ; EFCOVAL Consortium ; on behalf of the EFCOVAL Consortium</creatorcontrib><description>Background/Objectives:
The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a food can be included as a covariate in the model estimating the intake, as well as a parameter for identifying consumers and non-consumers. The objective was to implement the MSM algorithms into an easy-to-use statistical program package.
Subjects/Methods:
The implementation was realized as a web-based application using the Perl application framework Catalyst. As the engine for the statistical calculations, the R system was used. To allow simultaneous use of the program by different users, a multiuser system with a resource bag pattern design was implemented.
Results:
We established a software program that implements the algorithms of the MSM and allows interactive usage of the method, using standard web technologies. The program is hosted on a website established at the DIFE and can be accessed at
https://nugo.dife.de/msm
. The communication between users and the program web site is encrypted, securing transmitted data against unauthorized use. Users can interactively import several data sets, define the analysis model, review and export results and graphs. The use of the program is supported by online help and a user guide.
Conclusions:
The MSM website provides a program package that allows nutritional scientists to calculate usual dietary intakes by combining short-term and long-term measurements (multiple sources). It promotes simple access to the MSM to estimate usual food intake for individuals and populations.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/ejcn.2011.92</identifier><identifier>PMID: 21731011</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/114/2415 ; 631/114/794 ; 631/443/319/1488 ; 692/700/478/174 ; Algorithms ; Analysis ; Biological and medical sciences ; Biometry - methods ; Catalysts ; Clinical Nutrition ; Consumers ; Diet ; Diet - statistics & numerical data ; Diet Records ; Diet Surveys - methods ; Dietary intake ; Epidemiology ; Estimating techniques ; Feeding Behavior ; Feeding. Feeding behavior ; Food ; Food cans ; Food consumption ; Food intake ; Fundamental and applied biological sciences. Psychology ; Humans ; Internal Medicine ; Internet ; Measurement ; Medical sciences ; Medicine ; Medicine & Public Health ; Metabolic Diseases ; Models, Statistical ; Multiuser systems ; original-article ; Parameter identification ; Perl ; Public Health ; Software ; Statistical analysis ; Statistical methods ; Statistics ; Statistics as Topic - methods ; Vertebrates: anatomy and physiology, studies on body, several organs or systems ; Websites ; World Wide Web</subject><ispartof>European journal of clinical nutrition, 2011-07, Vol.65 (S1), p.S87-S91</ispartof><rights>Macmillan Publishers Limited 2011</rights><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2011 Nature Publishing Group</rights><rights>Macmillan Publishers Limited 2011.</rights><rights>Copyright Nature Publishing Group Jul 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c678t-1efac47988e969bd938b243aee1bc029292905d7779b77a4cedd68682b01270d3</citedby><cites>FETCH-LOGICAL-c678t-1efac47988e969bd938b243aee1bc029292905d7779b77a4cedd68682b01270d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24302173$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21731011$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Harttig, U</creatorcontrib><creatorcontrib>Haubrock, J</creatorcontrib><creatorcontrib>Knüppel, S</creatorcontrib><creatorcontrib>Boeing, H</creatorcontrib><creatorcontrib>EFCOVAL Consortium</creatorcontrib><creatorcontrib>on behalf of the EFCOVAL Consortium</creatorcontrib><title>The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Background/Objectives:
The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a food can be included as a covariate in the model estimating the intake, as well as a parameter for identifying consumers and non-consumers. The objective was to implement the MSM algorithms into an easy-to-use statistical program package.
Subjects/Methods:
The implementation was realized as a web-based application using the Perl application framework Catalyst. As the engine for the statistical calculations, the R system was used. To allow simultaneous use of the program by different users, a multiuser system with a resource bag pattern design was implemented.
Results:
We established a software program that implements the algorithms of the MSM and allows interactive usage of the method, using standard web technologies. The program is hosted on a website established at the DIFE and can be accessed at
https://nugo.dife.de/msm
. The communication between users and the program web site is encrypted, securing transmitted data against unauthorized use. Users can interactively import several data sets, define the analysis model, review and export results and graphs. The use of the program is supported by online help and a user guide.
Conclusions:
The MSM website provides a program package that allows nutritional scientists to calculate usual dietary intakes by combining short-term and long-term measurements (multiple sources). It promotes simple access to the MSM to estimate usual food intake for individuals and populations.</description><subject>631/114/2415</subject><subject>631/114/794</subject><subject>631/443/319/1488</subject><subject>692/700/478/174</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Biological and medical sciences</subject><subject>Biometry - methods</subject><subject>Catalysts</subject><subject>Clinical Nutrition</subject><subject>Consumers</subject><subject>Diet</subject><subject>Diet - statistics & numerical data</subject><subject>Diet Records</subject><subject>Diet Surveys - methods</subject><subject>Dietary intake</subject><subject>Epidemiology</subject><subject>Estimating techniques</subject><subject>Feeding Behavior</subject><subject>Feeding. Feeding behavior</subject><subject>Food</subject><subject>Food cans</subject><subject>Food consumption</subject><subject>Food intake</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Internet</subject><subject>Measurement</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolic Diseases</subject><subject>Models, Statistical</subject><subject>Multiuser systems</subject><subject>original-article</subject><subject>Parameter identification</subject><subject>Perl</subject><subject>Public Health</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistics</subject><subject>Statistics as Topic - methods</subject><subject>Vertebrates: anatomy and physiology, studies on body, several organs or systems</subject><subject>Websites</subject><subject>World Wide Web</subject><issn>0954-3007</issn><issn>1476-5640</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp10s1v0zAUAHALgVgZ3DgjCwRcSLEdJ7a5TRNf0iYOG-fIcV5Sd65TbEdo_z2OWlaGOvkQxe_3np2Xh9BLSpaUlPIjrI1fMkLpUrFHaEG5qIuq5uQxWhBV8aIkRJygZzGuCclBwZ6iE0ZFSXPKAoXrFeDLq0u8DeMQ9OYT_g1t0eoIHY5JJxuTNRFvtbnRA-B-DBjy1iZH_ICnOGmHOwtJh1tsfdI3kDfnUJrrTi7ZrQN8NU7B5HdIq7F7jp702kV4sX-eop9fPl-ffysufnz9fn52UZhayFRQ6LXhQkkJqlZtp0rZMl5qANoawtS8SNUJIVQrhOYGuq6WtWQtoUyQrjxF73d186f9mvKtm42NBpzTHsYpNlIITipVlVm-_k-u84V9vlxGkvCKl1VGbx5CrOZMMsGIPKhBO2is78cUtJkPbs5YTWlFhVJZFUfUAB6CdqOH3ubte355xOfVwcaaownv_klYgXZpFUc3JTv6eB9-2EETxhgD9M025L8bbhtKmnm-mnm-mnm-GsUyf7VvwtRuoLvDfwcqg7d7oKPRrg_aGxsPjpdktocOxBzyA4RDNx84GO-812kKcFdwRrPJ5A-plu6b</recordid><startdate>20110701</startdate><enddate>20110701</enddate><creator>Harttig, U</creator><creator>Haubrock, J</creator><creator>Knüppel, S</creator><creator>Boeing, H</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>IQODW</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>3V.</scope><scope>7QP</scope><scope>7RV</scope><scope>7TK</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>ATCPS</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>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20110701</creationdate><title>The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method</title><author>Harttig, U ; Haubrock, J ; Knüppel, S ; Boeing, H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c678t-1efac47988e969bd938b243aee1bc029292905d7779b77a4cedd68682b01270d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>631/114/2415</topic><topic>631/114/794</topic><topic>631/443/319/1488</topic><topic>692/700/478/174</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Biological and medical sciences</topic><topic>Biometry - methods</topic><topic>Catalysts</topic><topic>Clinical Nutrition</topic><topic>Consumers</topic><topic>Diet</topic><topic>Diet - statistics & numerical data</topic><topic>Diet Records</topic><topic>Diet Surveys - methods</topic><topic>Dietary intake</topic><topic>Epidemiology</topic><topic>Estimating techniques</topic><topic>Feeding Behavior</topic><topic>Feeding. Feeding behavior</topic><topic>Food</topic><topic>Food cans</topic><topic>Food consumption</topic><topic>Food intake</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Internet</topic><topic>Measurement</topic><topic>Medical sciences</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolic Diseases</topic><topic>Models, Statistical</topic><topic>Multiuser systems</topic><topic>original-article</topic><topic>Parameter identification</topic><topic>Perl</topic><topic>Public Health</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistics</topic><topic>Statistics as Topic - methods</topic><topic>Vertebrates: anatomy and physiology, studies on body, several organs or systems</topic><topic>Websites</topic><topic>World Wide Web</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Harttig, U</creatorcontrib><creatorcontrib>Haubrock, J</creatorcontrib><creatorcontrib>Knüppel, S</creatorcontrib><creatorcontrib>Boeing, H</creatorcontrib><creatorcontrib>EFCOVAL Consortium</creatorcontrib><creatorcontrib>on behalf of the EFCOVAL Consortium</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of clinical nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Harttig, U</au><au>Haubrock, J</au><au>Knüppel, S</au><au>Boeing, H</au><aucorp>EFCOVAL Consortium</aucorp><aucorp>on behalf of the EFCOVAL Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2011-07-01</date><risdate>2011</risdate><volume>65</volume><issue>S1</issue><spage>S87</spage><epage>S91</epage><pages>S87-S91</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Background/Objectives:
The Multiple Source Method (MSM) is a new statistical method for estimating usual dietary intake including episodically consumed foods on the basis of two or more short-term measurements such as 24-h dietary recalls. Optional information regarding habitual use or non-use of a food can be included as a covariate in the model estimating the intake, as well as a parameter for identifying consumers and non-consumers. The objective was to implement the MSM algorithms into an easy-to-use statistical program package.
Subjects/Methods:
The implementation was realized as a web-based application using the Perl application framework Catalyst. As the engine for the statistical calculations, the R system was used. To allow simultaneous use of the program by different users, a multiuser system with a resource bag pattern design was implemented.
Results:
We established a software program that implements the algorithms of the MSM and allows interactive usage of the method, using standard web technologies. The program is hosted on a website established at the DIFE and can be accessed at
https://nugo.dife.de/msm
. The communication between users and the program web site is encrypted, securing transmitted data against unauthorized use. Users can interactively import several data sets, define the analysis model, review and export results and graphs. The use of the program is supported by online help and a user guide.
Conclusions:
The MSM website provides a program package that allows nutritional scientists to calculate usual dietary intakes by combining short-term and long-term measurements (multiple sources). It promotes simple access to the MSM to estimate usual food intake for individuals and populations.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>21731011</pmid><doi>10.1038/ejcn.2011.92</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0954-3007 |
ispartof | European journal of clinical nutrition, 2011-07, Vol.65 (S1), p.S87-S91 |
issn | 0954-3007 1476-5640 |
language | eng |
recordid | cdi_proquest_miscellaneous_877405953 |
source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | 631/114/2415 631/114/794 631/443/319/1488 692/700/478/174 Algorithms Analysis Biological and medical sciences Biometry - methods Catalysts Clinical Nutrition Consumers Diet Diet - statistics & numerical data Diet Records Diet Surveys - methods Dietary intake Epidemiology Estimating techniques Feeding Behavior Feeding. Feeding behavior Food Food cans Food consumption Food intake Fundamental and applied biological sciences. Psychology Humans Internal Medicine Internet Measurement Medical sciences Medicine Medicine & Public Health Metabolic Diseases Models, Statistical Multiuser systems original-article Parameter identification Perl Public Health Software Statistical analysis Statistical methods Statistics Statistics as Topic - methods Vertebrates: anatomy and physiology, studies on body, several organs or systems Websites World Wide Web |
title | The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T18%3A42%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20MSM%20program:%20web-based%20statistics%20package%20for%20estimating%20usual%20dietary%20intake%20using%20the%20Multiple%20Source%20Method&rft.jtitle=European%20journal%20of%20clinical%20nutrition&rft.au=Harttig,%20U&rft.aucorp=EFCOVAL%20Consortium&rft.date=2011-07-01&rft.volume=65&rft.issue=S1&rft.spage=S87&rft.epage=S91&rft.pages=S87-S91&rft.issn=0954-3007&rft.eissn=1476-5640&rft_id=info:doi/10.1038/ejcn.2011.92&rft_dat=%3Cgale_proqu%3EA261151799%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2642827208&rft_id=info:pmid/21731011&rft_galeid=A261151799&rfr_iscdi=true |