Spatial autocorrelation of cancer in Western Europe View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1999-01

AUTHORS

Michael S. Rosenberg, Robert R. Sokal, Neal L. Oden, Donna DiGiovanni

ABSTRACT

We applied the techniques of spatial autocorrelation (SA) analysis to 40 cancer mortality distributions in Western Europe. One of the aims of these methods is to describe the scale over which spatial patterns of mortalities occur, which may provide suggestions concerning the agents bringing about the patterns. We analyzed 355 registration areas, applying one- and two-dimensional SA as well as local SA techniques. We find that cancer mortalities are unusually strongly spatially structured, implying similar spatial structuring of the responsible agents. The small number of spatial patterns (4 or 5) in the 40 cancer mortalities suggests there are fewer spatially patterned agents than the number of cancers studied. SA present in variables will bias the results of conventional statistical tests applied to them. After correcting for such bias, some pairwise correlations of cancer mortality distributions remain significant, suggesting inherent, epidemiologically meaningful correlations. Local SA is a useful technique for exploring epidemiological maps. It found homogeneous high overall cancer mortalities in Denmark and homogeneous low mortalities in southern Italy, as well as a very heterogeneous pattern for ovarian cancer in Ireland. More... »

PAGES

15-22

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1007559728848

DOI

http://dx.doi.org/10.1023/a:1007559728848

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000586847

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10098991


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cluster Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Europe", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ovarian Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Stony Brook University", 
          "id": "https://www.grid.ac/institutes/grid.36425.36", 
          "name": [
            "Department of Ecology and Evolution, State University of New York at Stony Brook, Stony Brook, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rosenberg", 
        "givenName": "Michael S.", 
        "id": "sg:person.01260173175.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260173175.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stony Brook University", 
          "id": "https://www.grid.ac/institutes/grid.36425.36", 
          "name": [
            "Department of Ecology and Evolution, State University of New York at Stony Brook, Stony Brook, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sokal", 
        "givenName": "Robert R.", 
        "id": "sg:person.01305517101.00", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305517101.00"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Emmes Corporation", 
          "id": "https://www.grid.ac/institutes/grid.280434.9", 
          "name": [
            "The EMMES Corporation, Potomac, Maryland, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oden", 
        "givenName": "Neal L.", 
        "id": "sg:person.01025142664.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025142664.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Stony Brook University", 
          "id": "https://www.grid.ac/institutes/grid.36425.36", 
          "name": [
            "Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "DiGiovanni", 
        "givenName": "Donna", 
        "id": "sg:person.0604354212.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604354212.66"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1997.tb00960.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001909878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1997.tb00960.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001909878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.1978.tb00014.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004109977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1995.tb00338.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005958961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1995.tb00338.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005958961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00120648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011163776", 
          "https://doi.org/10.1007/bf00120648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00120648", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011163776", 
          "https://doi.org/10.1007/bf00120648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1992.tb00261.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019625466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1992.tb00261.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019625466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01908075", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022323983", 
          "https://doi.org/10.1007/bf01908075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.1980.tb00114.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024817573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajpa.1330740103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025063144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ajpa.1330740103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025063144"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00056481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026953818", 
          "https://doi.org/10.1007/bf00056481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00056481", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026953818", 
          "https://doi.org/10.1007/bf00056481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00384935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028264183", 
          "https://doi.org/10.1007/bf00384935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00384935", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028264183", 
          "https://doi.org/10.1007/bf00384935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1998.tb00406.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030861338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1998.tb00406.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030861338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.94.23.12728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035752791"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1984.tb00796.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037933121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1538-4632.1984.tb00796.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037933121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.1998.tb00350.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042044013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1095-8312.1978.tb00013.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045263449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/03014469300002652", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049110045"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/284609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058594732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/284625", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058594748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2413120", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069921438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2532039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069977467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075331262", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078176172", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079942514", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1999-01", 
    "datePublishedReg": "1999-01-01", 
    "description": "We applied the techniques of spatial autocorrelation (SA) analysis to 40 cancer mortality distributions in Western Europe. One of the aims of these methods is to describe the scale over which spatial patterns of mortalities occur, which may provide suggestions concerning the agents bringing about the patterns. We analyzed 355 registration areas, applying one- and two-dimensional SA as well as local SA techniques. We find that cancer mortalities are unusually strongly spatially structured, implying similar spatial structuring of the responsible agents. The small number of spatial patterns (4 or 5) in the 40 cancer mortalities suggests there are fewer spatially patterned agents than the number of cancers studied. SA present in variables will bias the results of conventional statistical tests applied to them. After correcting for such bias, some pairwise correlations of cancer mortality distributions remain significant, suggesting inherent, epidemiologically meaningful correlations. Local SA is a useful technique for exploring epidemiological maps. It found homogeneous high overall cancer mortalities in Denmark and homogeneous low mortalities in southern Italy, as well as a very heterogeneous pattern for ovarian cancer in Ireland.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1007559728848", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095636", 
        "issn": [
          "0393-2990", 
          "1573-7284"
        ], 
        "name": "European Journal of Epidemiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Spatial autocorrelation of cancer in Western Europe", 
    "pagination": "15-22", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "02cb767b5bf3c4605c211b731fa4b5d77f74673d7667b7cd7d4d920826ebf8b2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "10098991"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8508062"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1007559728848"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1000586847"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1007559728848", 
      "https://app.dimensions.ai/details/publication/pub.1000586847"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:56", 
    "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_00000498.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023/A:1007559728848"
  }
]
 

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.10.1023/a:1007559728848'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1007559728848'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1007559728848'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1007559728848'


 

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

192 TRIPLES      21 PREDICATES      59 URIs      28 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1007559728848 schema:about N1441524d22314cd699afb293008a421f
2 N1d2a761693aa48a7a3958bd299b91276
3 N6114ddd236a04e01909c638c3a95c5b0
4 Na3cfae46c379411db252c26fd5a77a69
5 Na71e183f71f3496483b4f19a2951782e
6 Ndd64ed3d847b4505a9fc6ea37f9a0f1f
7 Nf3ece9a9982c4d63bf707d2523f12605
8 anzsrc-for:11
9 anzsrc-for:1112
10 schema:author N114f05153f2a4eb3bcb65eb072061992
11 schema:citation sg:pub.10.1007/bf00056481
12 sg:pub.10.1007/bf00120648
13 sg:pub.10.1007/bf00384935
14 sg:pub.10.1007/bf01908075
15 https://app.dimensions.ai/details/publication/pub.1075331262
16 https://app.dimensions.ai/details/publication/pub.1078176172
17 https://app.dimensions.ai/details/publication/pub.1079942514
18 https://doi.org/10.1002/ajpa.1330740103
19 https://doi.org/10.1073/pnas.94.23.12728
20 https://doi.org/10.1080/03014469300002652
21 https://doi.org/10.1086/284609
22 https://doi.org/10.1086/284625
23 https://doi.org/10.1111/j.1095-8312.1978.tb00013.x
24 https://doi.org/10.1111/j.1095-8312.1978.tb00014.x
25 https://doi.org/10.1111/j.1095-8312.1980.tb00114.x
26 https://doi.org/10.1111/j.1095-8312.1998.tb00350.x
27 https://doi.org/10.1111/j.1538-4632.1984.tb00796.x
28 https://doi.org/10.1111/j.1538-4632.1992.tb00261.x
29 https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
30 https://doi.org/10.1111/j.1538-4632.1997.tb00960.x
31 https://doi.org/10.1111/j.1538-4632.1998.tb00406.x
32 https://doi.org/10.2307/2413120
33 https://doi.org/10.2307/2532039
34 schema:datePublished 1999-01
35 schema:datePublishedReg 1999-01-01
36 schema:description We applied the techniques of spatial autocorrelation (SA) analysis to 40 cancer mortality distributions in Western Europe. One of the aims of these methods is to describe the scale over which spatial patterns of mortalities occur, which may provide suggestions concerning the agents bringing about the patterns. We analyzed 355 registration areas, applying one- and two-dimensional SA as well as local SA techniques. We find that cancer mortalities are unusually strongly spatially structured, implying similar spatial structuring of the responsible agents. The small number of spatial patterns (4 or 5) in the 40 cancer mortalities suggests there are fewer spatially patterned agents than the number of cancers studied. SA present in variables will bias the results of conventional statistical tests applied to them. After correcting for such bias, some pairwise correlations of cancer mortality distributions remain significant, suggesting inherent, epidemiologically meaningful correlations. Local SA is a useful technique for exploring epidemiological maps. It found homogeneous high overall cancer mortalities in Denmark and homogeneous low mortalities in southern Italy, as well as a very heterogeneous pattern for ovarian cancer in Ireland.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree false
40 schema:isPartOf N5f879608bd0446b19de0c7e798528d06
41 Ncaa93b38b21843248d215441dc40fa51
42 sg:journal.1095636
43 schema:name Spatial autocorrelation of cancer in Western Europe
44 schema:pagination 15-22
45 schema:productId N0496d7908d264ba58203e08eb2527ae2
46 Nbbb052c1022440c0aa005fc31b5e1e5e
47 Nc561410331b149c6a8086f6cfe76d78f
48 Ndfc51b55833c4ef092dff8387a0ea75b
49 Nf3232a120daf4b509c2c3d4938c9f76b
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000586847
51 https://doi.org/10.1023/a:1007559728848
52 schema:sdDatePublished 2019-04-11T01:56
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N024f5fbe8bfe4709a83871b1a1f71eb2
55 schema:url http://link.springer.com/10.1023/A:1007559728848
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N024f5fbe8bfe4709a83871b1a1f71eb2 schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 N0496d7908d264ba58203e08eb2527ae2 schema:name doi
62 schema:value 10.1023/a:1007559728848
63 rdf:type schema:PropertyValue
64 N114f05153f2a4eb3bcb65eb072061992 rdf:first sg:person.01260173175.52
65 rdf:rest N64a3da5b8867439a9cf364721d6c5269
66 N1441524d22314cd699afb293008a421f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Neoplasms
68 rdf:type schema:DefinedTerm
69 N1d2a761693aa48a7a3958bd299b91276 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Cluster Analysis
71 rdf:type schema:DefinedTerm
72 N5f879608bd0446b19de0c7e798528d06 schema:issueNumber 1
73 rdf:type schema:PublicationIssue
74 N6114ddd236a04e01909c638c3a95c5b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Ovarian Neoplasms
76 rdf:type schema:DefinedTerm
77 N64a3da5b8867439a9cf364721d6c5269 rdf:first sg:person.01305517101.00
78 rdf:rest Nd5924fb9aa734637ab876379b0c07de2
79 N7382d51c98c74d82a1a32b65e1fbb5f2 rdf:first sg:person.0604354212.66
80 rdf:rest rdf:nil
81 Na3cfae46c379411db252c26fd5a77a69 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Humans
83 rdf:type schema:DefinedTerm
84 Na71e183f71f3496483b4f19a2951782e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Europe
86 rdf:type schema:DefinedTerm
87 Nbbb052c1022440c0aa005fc31b5e1e5e schema:name readcube_id
88 schema:value 02cb767b5bf3c4605c211b731fa4b5d77f74673d7667b7cd7d4d920826ebf8b2
89 rdf:type schema:PropertyValue
90 Nc561410331b149c6a8086f6cfe76d78f schema:name nlm_unique_id
91 schema:value 8508062
92 rdf:type schema:PropertyValue
93 Ncaa93b38b21843248d215441dc40fa51 schema:volumeNumber 15
94 rdf:type schema:PublicationVolume
95 Nd5924fb9aa734637ab876379b0c07de2 rdf:first sg:person.01025142664.99
96 rdf:rest N7382d51c98c74d82a1a32b65e1fbb5f2
97 Ndd64ed3d847b4505a9fc6ea37f9a0f1f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Female
99 rdf:type schema:DefinedTerm
100 Ndfc51b55833c4ef092dff8387a0ea75b schema:name pubmed_id
101 schema:value 10098991
102 rdf:type schema:PropertyValue
103 Nf3232a120daf4b509c2c3d4938c9f76b schema:name dimensions_id
104 schema:value pub.1000586847
105 rdf:type schema:PropertyValue
106 Nf3ece9a9982c4d63bf707d2523f12605 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Male
108 rdf:type schema:DefinedTerm
109 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
110 schema:name Medical and Health Sciences
111 rdf:type schema:DefinedTerm
112 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
113 schema:name Oncology and Carcinogenesis
114 rdf:type schema:DefinedTerm
115 sg:journal.1095636 schema:issn 0393-2990
116 1573-7284
117 schema:name European Journal of Epidemiology
118 rdf:type schema:Periodical
119 sg:person.01025142664.99 schema:affiliation https://www.grid.ac/institutes/grid.280434.9
120 schema:familyName Oden
121 schema:givenName Neal L.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01025142664.99
123 rdf:type schema:Person
124 sg:person.01260173175.52 schema:affiliation https://www.grid.ac/institutes/grid.36425.36
125 schema:familyName Rosenberg
126 schema:givenName Michael S.
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260173175.52
128 rdf:type schema:Person
129 sg:person.01305517101.00 schema:affiliation https://www.grid.ac/institutes/grid.36425.36
130 schema:familyName Sokal
131 schema:givenName Robert R.
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305517101.00
133 rdf:type schema:Person
134 sg:person.0604354212.66 schema:affiliation https://www.grid.ac/institutes/grid.36425.36
135 schema:familyName DiGiovanni
136 schema:givenName Donna
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0604354212.66
138 rdf:type schema:Person
139 sg:pub.10.1007/bf00056481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026953818
140 https://doi.org/10.1007/bf00056481
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/bf00120648 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011163776
143 https://doi.org/10.1007/bf00120648
144 rdf:type schema:CreativeWork
145 sg:pub.10.1007/bf00384935 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028264183
146 https://doi.org/10.1007/bf00384935
147 rdf:type schema:CreativeWork
148 sg:pub.10.1007/bf01908075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022323983
149 https://doi.org/10.1007/bf01908075
150 rdf:type schema:CreativeWork
151 https://app.dimensions.ai/details/publication/pub.1075331262 schema:CreativeWork
152 https://app.dimensions.ai/details/publication/pub.1078176172 schema:CreativeWork
153 https://app.dimensions.ai/details/publication/pub.1079942514 schema:CreativeWork
154 https://doi.org/10.1002/ajpa.1330740103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025063144
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1073/pnas.94.23.12728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035752791
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1080/03014469300002652 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049110045
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1086/284609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058594732
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1086/284625 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058594748
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1111/j.1095-8312.1978.tb00013.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045263449
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1111/j.1095-8312.1978.tb00014.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004109977
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1111/j.1095-8312.1980.tb00114.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1024817573
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1111/j.1095-8312.1998.tb00350.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1042044013
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1111/j.1538-4632.1984.tb00796.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037933121
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1111/j.1538-4632.1992.tb00261.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019625466
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1111/j.1538-4632.1995.tb00338.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1005958961
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1111/j.1538-4632.1997.tb00960.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001909878
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1111/j.1538-4632.1998.tb00406.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030861338
181 rdf:type schema:CreativeWork
182 https://doi.org/10.2307/2413120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069921438
183 rdf:type schema:CreativeWork
184 https://doi.org/10.2307/2532039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069977467
185 rdf:type schema:CreativeWork
186 https://www.grid.ac/institutes/grid.280434.9 schema:alternateName Emmes Corporation
187 schema:name The EMMES Corporation, Potomac, Maryland, USA
188 rdf:type schema:Organization
189 https://www.grid.ac/institutes/grid.36425.36 schema:alternateName Stony Brook University
190 schema:name Department of Ecology and Evolution, State University of New York at Stony Brook, Stony Brook, New York, USA
191 Department of Neurology, State University of New York at Stony Brook, Stony Brook, New York, USA
192 rdf:type schema:Organization
 




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


...