Ontology type: schema:ScholarlyArticle
2007-12
AUTHORSAndrew C. Hooker, Christine E. Staatz, Mats O. Karlsson
ABSTRACTPURPOSE: Population model analyses have shifted from using the first order (FO) to the first-order with conditional estimation (FOCE) approximation to the true model. However, the weighted residuals (WRES), a common diagnostic tool used to test for model misspecification, are calculated using the FO approximation. Utilizing WRES with the FOCE method may lead to misguided model development/evaluation. We present a new diagnostic tool, the conditional weighted residuals (CWRES), which are calculated based on the FOCE approximation. MATERIALS AND METHODS: CWRES are calculated as the FOCE approximated difference between an individual's data and the model prediction of that data divided by the root of the covariance of the data given the model. RESULTS: Using real and simulated data the CWRES distributions behave as theoretically expected under the correct model. In contrast, in certain circumstances, the WRES have distributions that greatly deviate from the expected, falsely indicating model misspecification. CWRES/WRES comparisons can also indicate if the FOCE estimation method will improve the results of an FO model fit to data. CONCLUSIONS: Utilization of CWRES could improve model development and evaluation and give a more accurate picture of if and when a model is misspecified when using the FO or FOCE methods. More... »
PAGES2187-2197
http://scigraph.springernature.com/pub.10.1007/s11095-007-9361-x
DOIhttp://dx.doi.org/10.1007/s11095-007-9361-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1050287322
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/17612795
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Statistics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mathematical Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Antihypertensive Agents",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Computer Simulation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Imidazoles",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Biological",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Statistical",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Nonlinear Dynamics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pharmaceutical Preparations",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Pharmacokinetics",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Reproducibility of Results",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Uppsala University",
"id": "https://www.grid.ac/institutes/grid.8993.b",
"name": [
"Division of Pharmacokinetics and Drug Therapy, Dept. of Pharmaceutical Biosciences, Faculty of Pharmacy, Uppsala University, Box 591, 751 24, Uppsala, Sweden"
],
"type": "Organization"
},
"familyName": "Hooker",
"givenName": "Andrew C.",
"id": "sg:person.0752035614.38",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752035614.38"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Uppsala University",
"id": "https://www.grid.ac/institutes/grid.8993.b",
"name": [
"Division of Pharmacokinetics and Drug Therapy, Dept. of Pharmaceutical Biosciences, Faculty of Pharmacy, Uppsala University, Box 591, 751 24, Uppsala, Sweden"
],
"type": "Organization"
},
"familyName": "Staatz",
"givenName": "Christine E.",
"id": "sg:person.01364721362.82",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364721362.82"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Uppsala University",
"id": "https://www.grid.ac/institutes/grid.8993.b",
"name": [
"Division of Pharmacokinetics and Drug Therapy, Dept. of Pharmaceutical Biosciences, Faculty of Pharmacy, Uppsala University, Box 591, 751 24, Uppsala, Sweden"
],
"type": "Organization"
},
"familyName": "Karlsson",
"givenName": "Mats O.",
"id": "sg:person.013476764432.99",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013476764432.99"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1023/a:1020561807903",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000237393",
"https://doi.org/10.1023/a:1020561807903"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0169-2607(98)00067-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1001860622"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1081/bip-120037194",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005903028"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cmpb.2005.04.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006146346"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10928-005-0016-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015863917",
"https://doi.org/10.1007/s10928-005-0016-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10928-005-0016-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015863917",
"https://doi.org/10.1007/s10928-005-0016-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10928-005-0016-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015863917",
"https://doi.org/10.1007/s10928-005-0016-4"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1011527125570",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020213805",
"https://doi.org/10.1023/a:1011527125570"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1177/0091270003258670",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025656901"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02353520",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032456968",
"https://doi.org/10.1007/bf02353520"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0928-0987(01)00096-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1033937809"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s10928-006-9010-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035357317",
"https://doi.org/10.1007/s10928-006-9010-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf02353491",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046630517",
"https://doi.org/10.1007/bf02353491"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2532087",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069977517"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/2684123",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070057547"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074547942",
"type": "CreativeWork"
}
],
"datePublished": "2007-12",
"datePublishedReg": "2007-12-01",
"description": "PURPOSE: Population model analyses have shifted from using the first order (FO) to the first-order with conditional estimation (FOCE) approximation to the true model. However, the weighted residuals (WRES), a common diagnostic tool used to test for model misspecification, are calculated using the FO approximation. Utilizing WRES with the FOCE method may lead to misguided model development/evaluation. We present a new diagnostic tool, the conditional weighted residuals (CWRES), which are calculated based on the FOCE approximation.\nMATERIALS AND METHODS: CWRES are calculated as the FOCE approximated difference between an individual's data and the model prediction of that data divided by the root of the covariance of the data given the model.\nRESULTS: Using real and simulated data the CWRES distributions behave as theoretically expected under the correct model. In contrast, in certain circumstances, the WRES have distributions that greatly deviate from the expected, falsely indicating model misspecification. CWRES/WRES comparisons can also indicate if the FOCE estimation method will improve the results of an FO model fit to data.\nCONCLUSIONS: Utilization of CWRES could improve model development and evaluation and give a more accurate picture of if and when a model is misspecified when using the FO or FOCE methods.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11095-007-9361-x",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1094644",
"issn": [
"0724-8741",
"1573-904X"
],
"name": "Pharmaceutical Research",
"type": "Periodical"
},
{
"issueNumber": "12",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "24"
}
],
"name": "Conditional Weighted Residuals (CWRES): A Model Diagnostic for the FOCE Method",
"pagination": "2187-2197",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"ef8dde6c64aa5ff64515e851b6e28d03ba86f300391278c30be2c074dbf242a5"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"17612795"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"8406521"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11095-007-9361-x"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1050287322"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11095-007-9361-x",
"https://app.dimensions.ai/details/publication/pub.1050287322"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T02:11",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8700_00000524.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs11095-007-9361-x"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11095-007-9361-x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11095-007-9361-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11095-007-9361-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11095-007-9361-x'
This table displays all metadata directly associated to this object as RDF triples.
170 TRIPLES
21 PREDICATES
53 URIs
31 LITERALS
19 BLANK NODES