Calibrating Variations in Biomarker Measures for Improving Prediction with Time-to-event Outcomes View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-05

AUTHORS

Cheng Zheng, Yingye Zheng

ABSTRACT

N/A

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12561-019-09235-5

DOI

http://dx.doi.org/10.1007/s12561-019-09235-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113263688


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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", 
    "author": [
      {
        "familyName": "Zheng", 
        "givenName": "Cheng", 
        "type": "Person"
      }, 
      {
        "familyName": "Zheng", 
        "givenName": "Yingye", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/1467-9868.00317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020414413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10985-013-9270-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029237173", 
          "https://doi.org/10.1007/s10985-013-9270-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1541-0420.2005.00441.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029511610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1541-0420.2005.00441.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029511610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1586/erm.10.122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032879706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1541-0420.2011.01600.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034904477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-006-0035-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043635662", 
          "https://doi.org/10.1007/s10552-006-0035-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10552-006-0035-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043635662", 
          "https://doi.org/10.1007/s10552-006-0035-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.0006-341x.2000.00337.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043727671"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.2929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044960408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/1467-9469.00310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048504160"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01621459.2000.10474321", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058305815"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/69.2.331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059419184"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/82.1.139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059420536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/82.4.835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059420619"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/asm078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059421624"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1198/016214501753382372", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064197918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1198/016214507000000149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064198631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1198/jasa.2009.tm07543", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064200458"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2532348", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069977765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2533103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069978508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078498974", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-04-05", 
    "datePublishedReg": "2019-04-05", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12561-019-09235-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2520098", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2688926", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2435603", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1041137", 
        "issn": [
          "1867-1764", 
          "1867-1772"
        ], 
        "name": "Statistics in Biosciences", 
        "type": "Periodical"
      }
    ], 
    "name": "Calibrating Variations in Biomarker Measures for Improving Prediction with Time-to-event Outcomes", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12561-019-09235-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113263688"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12561-019-09235-5", 
      "https://app.dimensions.ai/details/publication/pub.1113263688"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:16", 
    "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/v90/0000000372_0000000372/records_117088_00000003.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s12561-019-09235-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s12561-019-09235-5'

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/s12561-019-09235-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12561-019-09235-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12561-019-09235-5'


 

This table displays all metadata directly associated to this object as RDF triples.

108 TRIPLES      18 PREDICATES      39 URIs      13 LITERALS      4 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12561-019-09235-5 schema:author Nb27e0fba908545b298ef3274c5283cc7
2 schema:citation sg:pub.10.1007/s10552-006-0035-5
3 sg:pub.10.1007/s10985-013-9270-8
4 https://app.dimensions.ai/details/publication/pub.1078498974
5 https://doi.org/10.1002/sim.2929
6 https://doi.org/10.1080/01621459.2000.10474321
7 https://doi.org/10.1093/biomet/69.2.331
8 https://doi.org/10.1093/biomet/82.1.139
9 https://doi.org/10.1093/biomet/82.4.835
10 https://doi.org/10.1093/biomet/asm078
11 https://doi.org/10.1111/1467-9469.00310
12 https://doi.org/10.1111/1467-9868.00317
13 https://doi.org/10.1111/j.0006-341x.2000.00337.x
14 https://doi.org/10.1111/j.1541-0420.2005.00441.x
15 https://doi.org/10.1111/j.1541-0420.2011.01600.x
16 https://doi.org/10.1198/016214501753382372
17 https://doi.org/10.1198/016214507000000149
18 https://doi.org/10.1198/jasa.2009.tm07543
19 https://doi.org/10.1586/erm.10.122
20 https://doi.org/10.2307/2532348
21 https://doi.org/10.2307/2533103
22 schema:datePublished 2019-04-05
23 schema:datePublishedReg 2019-04-05
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree false
27 schema:isPartOf sg:journal.1041137
28 schema:name Calibrating Variations in Biomarker Measures for Improving Prediction with Time-to-event Outcomes
29 schema:productId N50a97204b20b49d5b80a4f4c251af94b
30 Nc0ff57eaf5e447098fda7fcee6453722
31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113263688
32 https://doi.org/10.1007/s12561-019-09235-5
33 schema:sdDatePublished 2019-04-11T14:16
34 schema:sdLicense https://scigraph.springernature.com/explorer/license/
35 schema:sdPublisher N2385f2148c9d47b8b388b1939927faf7
36 schema:url http://link.springer.com/10.1007/s12561-019-09235-5
37 sgo:license sg:explorer/license/
38 sgo:sdDataset articles
39 rdf:type schema:ScholarlyArticle
40 N183b87455aac46e5978d2e42271fde7a rdf:first Nb75eb7c7014741e1be75aecb4394b27d
41 rdf:rest rdf:nil
42 N2385f2148c9d47b8b388b1939927faf7 schema:name Springer Nature - SN SciGraph project
43 rdf:type schema:Organization
44 N31eb23b09027416fb9e04130e3843604 schema:familyName Zheng
45 schema:givenName Cheng
46 rdf:type schema:Person
47 N50a97204b20b49d5b80a4f4c251af94b schema:name dimensions_id
48 schema:value pub.1113263688
49 rdf:type schema:PropertyValue
50 Nb27e0fba908545b298ef3274c5283cc7 rdf:first N31eb23b09027416fb9e04130e3843604
51 rdf:rest N183b87455aac46e5978d2e42271fde7a
52 Nb75eb7c7014741e1be75aecb4394b27d schema:familyName Zheng
53 schema:givenName Yingye
54 rdf:type schema:Person
55 Nc0ff57eaf5e447098fda7fcee6453722 schema:name doi
56 schema:value 10.1007/s12561-019-09235-5
57 rdf:type schema:PropertyValue
58 sg:grant.2435603 http://pending.schema.org/fundedItem sg:pub.10.1007/s12561-019-09235-5
59 rdf:type schema:MonetaryGrant
60 sg:grant.2520098 http://pending.schema.org/fundedItem sg:pub.10.1007/s12561-019-09235-5
61 rdf:type schema:MonetaryGrant
62 sg:grant.2688926 http://pending.schema.org/fundedItem sg:pub.10.1007/s12561-019-09235-5
63 rdf:type schema:MonetaryGrant
64 sg:journal.1041137 schema:issn 1867-1764
65 1867-1772
66 schema:name Statistics in Biosciences
67 rdf:type schema:Periodical
68 sg:pub.10.1007/s10552-006-0035-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043635662
69 https://doi.org/10.1007/s10552-006-0035-5
70 rdf:type schema:CreativeWork
71 sg:pub.10.1007/s10985-013-9270-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029237173
72 https://doi.org/10.1007/s10985-013-9270-8
73 rdf:type schema:CreativeWork
74 https://app.dimensions.ai/details/publication/pub.1078498974 schema:CreativeWork
75 https://doi.org/10.1002/sim.2929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044960408
76 rdf:type schema:CreativeWork
77 https://doi.org/10.1080/01621459.2000.10474321 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058305815
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1093/biomet/69.2.331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059419184
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1093/biomet/82.1.139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059420536
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1093/biomet/82.4.835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059420619
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1093/biomet/asm078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059421624
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1111/1467-9469.00310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048504160
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1111/1467-9868.00317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020414413
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1111/j.0006-341x.2000.00337.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043727671
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1111/j.1541-0420.2005.00441.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029511610
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1111/j.1541-0420.2011.01600.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034904477
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1198/016214501753382372 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064197918
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1198/016214507000000149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064198631
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1198/jasa.2009.tm07543 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064200458
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1586/erm.10.122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032879706
104 rdf:type schema:CreativeWork
105 https://doi.org/10.2307/2532348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069977765
106 rdf:type schema:CreativeWork
107 https://doi.org/10.2307/2533103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069978508
108 rdf:type schema:CreativeWork
 




Preview window. Press ESC to close (or click here)


...