Weighted Logrank Tests With Multiple Events View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2006

AUTHORS

C. Pinçon , O. Pons

ABSTRACT

We focus on the two group comparison when subjects of the sample may experience multiple distinct events, possibly censored. Because of the correlation arising between failure times, the sum of the marginal test statistics is not accurate. We propose a multivariate version of weighted logrank tests derived from the marginal logrank statistics, and we study their asymptotic distribution under null hypothesis; we construct a consistent estimator of their covariance using martingales properties. We present a simulation study and an application of this method to a study aimed to prove the association between retinopathy and diabetes. More... »

PAGES

378-391

Book

TITLE

Probability, Statistics and Modelling in Public Health

ISBN

0-387-26022-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/0-387-26023-4_25

DOI

http://dx.doi.org/10.1007/0-387-26023-4_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022041220


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", 
    "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Laboratoire de Biomath\u00e9matiques, EA 3614, 3, rue du Professeur Laguesse, 59006\u00a0Lille c\u00e9dex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pin\u00e7on", 
        "givenName": "C.", 
        "id": "sg:person.0643167713.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643167713.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "D\u00e9partement MIA, INRA, Domaine de Vilvert, 78352\u00a0Jouy-en-Josas c\u00e9dex, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pons", 
        "givenName": "O.", 
        "id": "sg:person.014426657133.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014426657133.08"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1214/aos/1176344247", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027148294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01621459.1984.10478093", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058303019"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01621459.1989.10478873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058303850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/65.1.167", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059418714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/69.3.553", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059419215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/79.3.495", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059420288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2531989", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069977416"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006", 
    "datePublishedReg": "2006-01-01", 
    "description": "We focus on the two group comparison when subjects of the sample may experience multiple distinct events, possibly censored. Because of the correlation arising between failure times, the sum of the marginal test statistics is not accurate. We propose a multivariate version of weighted logrank tests derived from the marginal logrank statistics, and we study their asymptotic distribution under null hypothesis; we construct a consistent estimator of their covariance using martingales properties. We present a simulation study and an application of this method to a study aimed to prove the association between retinopathy and diabetes.", 
    "editor": [
      {
        "familyName": "Nikulin", 
        "givenName": "Mikhail", 
        "type": "Person"
      }, 
      {
        "familyName": "Commenges", 
        "givenName": "Daniel", 
        "type": "Person"
      }, 
      {
        "familyName": "Huber", 
        "givenName": "Catherine", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/0-387-26023-4_25", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "0-387-26022-6"
      ], 
      "name": "Probability, Statistics and Modelling in Public Health", 
      "type": "Book"
    }, 
    "name": "Weighted Logrank Tests With Multiple Events", 
    "pagination": "378-391", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/0-387-26023-4_25"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6902aaa4d1ce27bc20cf1f4bb04384811c7b371d28c074bdafaf4a704df9d4f4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1022041220"
        ]
      }
    ], 
    "publisher": {
      "location": "New York", 
      "name": "Springer-Verlag", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/0-387-26023-4_25", 
      "https://app.dimensions.ai/details/publication/pub.1022041220"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T17:57", 
    "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_8681_00000037.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/0-387-26023-4_25"
  }
]
 

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.10.1007/0-387-26023-4_25'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/0-387-26023-4_25'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/0-387-26023-4_25'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/0-387-26023-4_25'


 

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

103 TRIPLES      23 PREDICATES      34 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/0-387-26023-4_25 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author N51d595a09a114bdab2f55438ad11548e
4 schema:citation https://doi.org/10.1080/01621459.1984.10478093
5 https://doi.org/10.1080/01621459.1989.10478873
6 https://doi.org/10.1093/biomet/65.1.167
7 https://doi.org/10.1093/biomet/69.3.553
8 https://doi.org/10.1093/biomet/79.3.495
9 https://doi.org/10.1214/aos/1176344247
10 https://doi.org/10.2307/2531989
11 schema:datePublished 2006
12 schema:datePublishedReg 2006-01-01
13 schema:description We focus on the two group comparison when subjects of the sample may experience multiple distinct events, possibly censored. Because of the correlation arising between failure times, the sum of the marginal test statistics is not accurate. We propose a multivariate version of weighted logrank tests derived from the marginal logrank statistics, and we study their asymptotic distribution under null hypothesis; we construct a consistent estimator of their covariance using martingales properties. We present a simulation study and an application of this method to a study aimed to prove the association between retinopathy and diabetes.
14 schema:editor N575029ad806e407aba1f4dfdd9a11eec
15 schema:genre chapter
16 schema:inLanguage en
17 schema:isAccessibleForFree false
18 schema:isPartOf Nf2aa52eafdf049808f63f118658fbf0c
19 schema:name Weighted Logrank Tests With Multiple Events
20 schema:pagination 378-391
21 schema:productId N3cdbab4836da44e8a0f56d9e6360a73e
22 N89566b8930cf4f20aa8a8533cf15c360
23 Nd0f1be7ebea64d87aeede1d1ef508cf5
24 schema:publisher Nb0bc5cfe7cb640ba8a47e4da2a3e68db
25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022041220
26 https://doi.org/10.1007/0-387-26023-4_25
27 schema:sdDatePublished 2019-04-15T17:57
28 schema:sdLicense https://scigraph.springernature.com/explorer/license/
29 schema:sdPublisher Ne1bf8aa4a5a949708069981d859a31b0
30 schema:url http://link.springer.com/10.1007/0-387-26023-4_25
31 sgo:license sg:explorer/license/
32 sgo:sdDataset chapters
33 rdf:type schema:Chapter
34 N0fa5f34af5e44ce1ad8711226da8e78e schema:name Département MIA, INRA, Domaine de Vilvert, 78352 Jouy-en-Josas cédex, France
35 rdf:type schema:Organization
36 N1059d73a143645668c39bcc21922c76d schema:familyName Huber
37 schema:givenName Catherine
38 rdf:type schema:Person
39 N2c3e62afbc9749ed99d16050b169e52e rdf:first N8dda70a4c7fb4d0aba0d17616ed4f4c1
40 rdf:rest N5b62af97cb574d92a0278c0ed92fa23b
41 N3cdbab4836da44e8a0f56d9e6360a73e schema:name readcube_id
42 schema:value 6902aaa4d1ce27bc20cf1f4bb04384811c7b371d28c074bdafaf4a704df9d4f4
43 rdf:type schema:PropertyValue
44 N51d595a09a114bdab2f55438ad11548e rdf:first sg:person.0643167713.98
45 rdf:rest Na7537ab85d874508ae29579d8fbd4fc2
46 N5300b3b529f145eb84936b3f1a412738 schema:familyName Nikulin
47 schema:givenName Mikhail
48 rdf:type schema:Person
49 N575029ad806e407aba1f4dfdd9a11eec rdf:first N5300b3b529f145eb84936b3f1a412738
50 rdf:rest N2c3e62afbc9749ed99d16050b169e52e
51 N5b62af97cb574d92a0278c0ed92fa23b rdf:first N1059d73a143645668c39bcc21922c76d
52 rdf:rest rdf:nil
53 N89566b8930cf4f20aa8a8533cf15c360 schema:name dimensions_id
54 schema:value pub.1022041220
55 rdf:type schema:PropertyValue
56 N8dda70a4c7fb4d0aba0d17616ed4f4c1 schema:familyName Commenges
57 schema:givenName Daniel
58 rdf:type schema:Person
59 Na7537ab85d874508ae29579d8fbd4fc2 rdf:first sg:person.014426657133.08
60 rdf:rest rdf:nil
61 Nb0bc5cfe7cb640ba8a47e4da2a3e68db schema:location New York
62 schema:name Springer-Verlag
63 rdf:type schema:Organisation
64 Nbe498244208e4a849fa953a8359ce414 schema:name Laboratoire de Biomathématiques, EA 3614, 3, rue du Professeur Laguesse, 59006 Lille cédex, France
65 rdf:type schema:Organization
66 Nd0f1be7ebea64d87aeede1d1ef508cf5 schema:name doi
67 schema:value 10.1007/0-387-26023-4_25
68 rdf:type schema:PropertyValue
69 Ne1bf8aa4a5a949708069981d859a31b0 schema:name Springer Nature - SN SciGraph project
70 rdf:type schema:Organization
71 Nf2aa52eafdf049808f63f118658fbf0c schema:isbn 0-387-26022-6
72 schema:name Probability, Statistics and Modelling in Public Health
73 rdf:type schema:Book
74 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
75 schema:name Mathematical Sciences
76 rdf:type schema:DefinedTerm
77 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
78 schema:name Statistics
79 rdf:type schema:DefinedTerm
80 sg:person.014426657133.08 schema:affiliation N0fa5f34af5e44ce1ad8711226da8e78e
81 schema:familyName Pons
82 schema:givenName O.
83 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014426657133.08
84 rdf:type schema:Person
85 sg:person.0643167713.98 schema:affiliation Nbe498244208e4a849fa953a8359ce414
86 schema:familyName Pinçon
87 schema:givenName C.
88 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643167713.98
89 rdf:type schema:Person
90 https://doi.org/10.1080/01621459.1984.10478093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058303019
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1080/01621459.1989.10478873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058303850
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1093/biomet/65.1.167 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059418714
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1093/biomet/69.3.553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059419215
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1093/biomet/79.3.495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059420288
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1214/aos/1176344247 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027148294
101 rdf:type schema:CreativeWork
102 https://doi.org/10.2307/2531989 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069977416
103 rdf:type schema:CreativeWork
 




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


...