Ontology type: schema:ScholarlyArticle
1986-10
AUTHORSG. William Moore, Grover M. Hutchins, Robert E. Miller
ABSTRACTIn the past, hypothesis testing in medicine has employed the paradigm of the repeatable experiment. In statistical hypothesis testing, an unbiased sample is drawn from a larger source population, and a calculated statistic is compared to a preassigned critical region, on the assumption that the comparison could be repeated an indefinite number of times. However, repeated experiments often cannot be performed on human beings, due to ethical or economic constraints. We describe a new paradigm for hypothesis testing which uses only rearrangements of data present within the observed data set. The token swap test, based on this new paradigm, is applied to three data sets from cardiovascular pathology, and computational experiments suggest that the token swap test satisfies the Neyman Pearson condition. More... »
PAGES269-282
http://scigraph.springernature.com/pub.10.1007/bf00539848
DOIhttp://dx.doi.org/10.1007/bf00539848
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1001064870
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/3798393
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/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Computer Communication Networks",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Computer Simulation",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Models, Theoretical",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Johns Hopkins University",
"id": "https://www.grid.ac/institutes/grid.21107.35",
"name": [
"Department of Pathology, The Johns Hopkins Medical Institutions, 21205, Baltimore, Maryland, USA"
],
"type": "Organization"
},
"familyName": "Moore",
"givenName": "G. William",
"id": "sg:person.01032646746.00",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01032646746.00"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Johns Hopkins University",
"id": "https://www.grid.ac/institutes/grid.21107.35",
"name": [
"Department of Pathology, The Johns Hopkins Medical Institutions, 21205, Baltimore, Maryland, USA"
],
"type": "Organization"
},
"familyName": "Hutchins",
"givenName": "Grover M.",
"id": "sg:person.0743327605.00",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743327605.00"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Johns Hopkins University",
"id": "https://www.grid.ac/institutes/grid.21107.35",
"name": [
"Department of Pathology, The Johns Hopkins Medical Institutions, 21205, Baltimore, Maryland, USA"
],
"type": "Organization"
},
"familyName": "Miller",
"givenName": "Robert E.",
"id": "sg:person.01024061721.40",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024061721.40"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1136/bmj.2.4849.1284",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005441508"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejm198405243102111",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008259187"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0010-4809(83)90025-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008558902"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0010-4809(83)90025-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008558902"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0025-5564(82)90086-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009054966"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00489476",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009733289",
"https://doi.org/10.1007/bf00489476"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00489476",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009733289",
"https://doi.org/10.1007/bf00489476"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0002-9343(86)90007-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015240840"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejm198405243102141",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019601182"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejm197808172990704",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030767456"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejm198511143132005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1035590854"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0002-9343(81)90759-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1037625485"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejm198406213102506",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044393800"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejm198405243102106",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046521661"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1056/nejm198212233072604",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047183208"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/scientificamerican0583-116",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056542148",
"https://doi.org/10.1038/scientificamerican0583-116"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1137/1021092",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062861414"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1074409613",
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/jnci/22.4.719",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1075910802"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/3002000",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1078266745"
],
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1079984248",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1081755083",
"type": "CreativeWork"
},
{
"id": "https://app.dimensions.ai/details/publication/pub.1081811571",
"type": "CreativeWork"
}
],
"datePublished": "1986-10",
"datePublishedReg": "1986-10-01",
"description": "In the past, hypothesis testing in medicine has employed the paradigm of the repeatable experiment. In statistical hypothesis testing, an unbiased sample is drawn from a larger source population, and a calculated statistic is compared to a preassigned critical region, on the assumption that the comparison could be repeated an indefinite number of times. However, repeated experiments often cannot be performed on human beings, due to ethical or economic constraints. We describe a new paradigm for hypothesis testing which uses only rearrangements of data present within the observed data set. The token swap test, based on this new paradigm, is applied to three data sets from cardiovascular pathology, and computational experiments suggest that the token swap test satisfies the Neyman Pearson condition.",
"genre": "research_article",
"id": "sg:pub.10.1007/bf00539848",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": [
{
"id": "sg:journal.1091515",
"issn": [
"1386-7415",
"1573-0980"
],
"name": "Theoretical Medicine and Bioethics",
"type": "Periodical"
},
{
"issueNumber": "3",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "7"
}
],
"name": "A new paradigm for hypothesis testing in medicine, with examination of the Neyman Pearson condition",
"pagination": "269-282",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/bf00539848"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"05129dac5af529f86e8c9d105eedfeb6cd51b7bd48115f0f0ca1a7810f3d0e54"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1001064870"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"8405140"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"3798393"
]
}
],
"sameAs": [
"https://doi.org/10.1007/bf00539848",
"https://app.dimensions.ai/details/publication/pub.1001064870"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-15T08:59",
"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/v90/0000000375_0000000375/records_91432_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007/BF00539848"
}
]
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/bf00539848'
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/bf00539848'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00539848'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00539848'
This table displays all metadata directly associated to this object as RDF triples.
156 TRIPLES
21 PREDICATES
53 URIs
24 LITERALS
12 BLANK NODES