Frequency of Treatment-EffectModification Affecting Indirect Comparisons View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-09

AUTHORS

Michael Coory, Susan Jordan

ABSTRACT

A key assumption of indirect comparisons is similarity, which means that, in the face of differences in patient characteristics or study methods, there is no treatment-effect modification across sides of the indirect comparison. We therefore conducted a systematic review of MEDLINE and EMBASE from inception to November 2009 to summarize currently available information about how frequently, on average, treatment-effect modification occurs across trials that might be used on different sides of an indirect comparison. Although similarity is a key assumption, there is currently no published evidence specifically for indirect comparisons about how frequently treatment-effect modification occurs. Six analyses were identified that assessed treatment-effect modification across studies included in direct head-to-head meta-analyses. Such analyses are relevant to indirect comparisons because the phenomenon being investigated would occur with similar frequency. They provide important information because lack of treatment-effect modification across sides of an indirect comparison cannot be directly assessed statistically; this is in contrast to direct head-to-head meta-analyses where Cochrane's Q statistic or I2 can be used. For ratio measures such as the odds ratio and relative risk, treatment-effect modification occurred for 10-33% of meta-analyses. For the risk difference (an arithmetic measure), the range was 15-46%. It is not prudent to assume similarity in an indirect comparison, based only on the result that ratio measures such as the odds ratio are reasonably robust to treatment-effect modification. All indirect comparisons should include a thorough narrative comparison of differences in patient characteristics and study methods. This will provide end users with the best evidence with which to make an assessment of the likelihood of treatment-effect modification and the plausibility of the similarity assumption. More... »

PAGES

723-732

Identifiers

URI

http://scigraph.springernature.com/pub.10.2165/11535670-000000000-00000

DOI

http://dx.doi.org/10.2165/11535670-000000000-00000

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050152897

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20545383


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "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": "Cost-Benefit Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Meta-Analysis as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Randomized Controlled Trials as Topic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Cancer Epidemiology Centre, Cancer Council, 100 Drummond St, 3053, Carlton, Victoria, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Coory", 
        "givenName": "Michael", 
        "id": "sg:person.01053520214.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053520214.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Queensland", 
          "id": "https://www.grid.ac/institutes/grid.1003.2", 
          "name": [
            "University of Queensland, School of Population Health, Herston, Queensland, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jordan", 
        "givenName": "Susan", 
        "id": "sg:person.012414131417.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012414131417.60"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1001/jama.1995.03520290060030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000662780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0258(20000715)19:13<1707::aid-sim491>3.0.co;2-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000857256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/31.1.72", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004115399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0033-0620(85)80003-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005904380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/096228029300200202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008321787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/096228029300200202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008321787"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00019053-200826090-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011643694", 
          "https://doi.org/10.2165/00019053-200826090-00006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(97)00049-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012375750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4780080202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012782712"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(09)60046-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013725061"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(06)69638-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019614278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(00)00210-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021939258"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2007.06.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023842083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.b1147", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025416310"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0895-4356(00)00347-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028314547"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.326.7387.472", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031760247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.1188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034400687"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0197-2456(86)90046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034546744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0197-2456(86)90046-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034546744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/00019053-200927010-00002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038272342", 
          "https://doi.org/10.2165/00019053-200927010-00002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.39057.406644.68", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039782765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ije/31.1.76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044053237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2008.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044364229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.4780020219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045078814"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm195812182592505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046157181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/bmj.331.7521.897", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046614013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/sim.1186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047418980"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0266462308080240", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049279673"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(06)69615-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049684297"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0258(19980430)17:8<841::aid-sim781>3.0.co;2-d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051799330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.273.5.408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054158551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3310/hta9260", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071139834"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-09", 
    "datePublishedReg": "2010-09-01", 
    "description": "A key assumption of indirect comparisons is similarity, which means that, in the face of differences in patient characteristics or study methods, there is no treatment-effect modification across sides of the indirect comparison. We therefore conducted a systematic review of MEDLINE and EMBASE from inception to November 2009 to summarize currently available information about how frequently, on average, treatment-effect modification occurs across trials that might be used on different sides of an indirect comparison. Although similarity is a key assumption, there is currently no published evidence specifically for indirect comparisons about how frequently treatment-effect modification occurs. Six analyses were identified that assessed treatment-effect modification across studies included in direct head-to-head meta-analyses. Such analyses are relevant to indirect comparisons because the phenomenon being investigated would occur with similar frequency. They provide important information because lack of treatment-effect modification across sides of an indirect comparison cannot be directly assessed statistically; this is in contrast to direct head-to-head meta-analyses where Cochrane's Q statistic or I2 can be used. For ratio measures such as the odds ratio and relative risk, treatment-effect modification occurred for 10-33% of meta-analyses. For the risk difference (an arithmetic measure), the range was 15-46%. It is not prudent to assume similarity in an indirect comparison, based only on the result that ratio measures such as the odds ratio are reasonably robust to treatment-effect modification. All indirect comparisons should include a thorough narrative comparison of differences in patient characteristics and study methods. This will provide end users with the best evidence with which to make an assessment of the likelihood of treatment-effect modification and the plausibility of the similarity assumption.", 
    "genre": "research_article", 
    "id": "sg:pub.10.2165/11535670-000000000-00000", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1102812", 
        "issn": [
          "1170-7690", 
          "1179-2027"
        ], 
        "name": "PharmacoEconomics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "28"
      }
    ], 
    "name": "Frequency of Treatment-EffectModification Affecting Indirect Comparisons", 
    "pagination": "723-732", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "eee9baf765ba4e1a164926bb7455163920a1ba1a96ced532c3573998dbe0ddd9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20545383"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9212404"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.2165/11535670-000000000-00000"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1050152897"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.2165/11535670-000000000-00000", 
      "https://app.dimensions.ai/details/publication/pub.1050152897"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:39", 
    "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/v90/0000000349_0000000349/records_113679_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.2165%2F11535670-000000000-00000"
  }
]
 

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.10.2165/11535670-000000000-00000'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.2165/11535670-000000000-00000'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.2165/11535670-000000000-00000'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.2165/11535670-000000000-00000'


 

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

190 TRIPLES      21 PREDICATES      64 URIs      26 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.2165/11535670-000000000-00000 schema:about N0c4844c9fa0b4fa897f25e4cb276e365
2 N21ceda4d8e0e4878929ce13a45afdc4c
3 N9310186a849a462e9f6735609084d748
4 Nd842f931073a4877ac804135c6db50ea
5 Ne3338a5728394d04834a6002e6658a64
6 anzsrc-for:11
7 anzsrc-for:1117
8 schema:author N4798893e4a3f4c2c9a018c968e021433
9 schema:citation sg:pub.10.2165/00019053-200826090-00006
10 sg:pub.10.2165/00019053-200927010-00002
11 https://doi.org/10.1001/jama.1995.03520290060030
12 https://doi.org/10.1001/jama.273.5.408
13 https://doi.org/10.1002/(sici)1097-0258(19980430)17:8<841::aid-sim781>3.0.co;2-d
14 https://doi.org/10.1002/1097-0258(20000715)19:13<1707::aid-sim491>3.0.co;2-p
15 https://doi.org/10.1002/sim.1186
16 https://doi.org/10.1002/sim.1188
17 https://doi.org/10.1002/sim.4780020219
18 https://doi.org/10.1002/sim.4780080202
19 https://doi.org/10.1016/0197-2456(86)90046-2
20 https://doi.org/10.1016/j.jclinepi.2007.06.006
21 https://doi.org/10.1016/j.jclinepi.2008.10.013
22 https://doi.org/10.1016/s0033-0620(85)80003-7
23 https://doi.org/10.1016/s0140-6736(06)69615-3
24 https://doi.org/10.1016/s0140-6736(06)69638-4
25 https://doi.org/10.1016/s0140-6736(09)60046-5
26 https://doi.org/10.1016/s0895-4356(00)00210-9
27 https://doi.org/10.1016/s0895-4356(00)00347-4
28 https://doi.org/10.1016/s0895-4356(97)00049-8
29 https://doi.org/10.1017/s0266462308080240
30 https://doi.org/10.1056/nejm195812182592505
31 https://doi.org/10.1093/ije/31.1.72
32 https://doi.org/10.1093/ije/31.1.76
33 https://doi.org/10.1136/bmj.326.7387.472
34 https://doi.org/10.1136/bmj.331.7521.897
35 https://doi.org/10.1136/bmj.39057.406644.68
36 https://doi.org/10.1136/bmj.b1147
37 https://doi.org/10.1177/096228029300200202
38 https://doi.org/10.3310/hta9260
39 schema:datePublished 2010-09
40 schema:datePublishedReg 2010-09-01
41 schema:description A key assumption of indirect comparisons is similarity, which means that, in the face of differences in patient characteristics or study methods, there is no treatment-effect modification across sides of the indirect comparison. We therefore conducted a systematic review of MEDLINE and EMBASE from inception to November 2009 to summarize currently available information about how frequently, on average, treatment-effect modification occurs across trials that might be used on different sides of an indirect comparison. Although similarity is a key assumption, there is currently no published evidence specifically for indirect comparisons about how frequently treatment-effect modification occurs. Six analyses were identified that assessed treatment-effect modification across studies included in direct head-to-head meta-analyses. Such analyses are relevant to indirect comparisons because the phenomenon being investigated would occur with similar frequency. They provide important information because lack of treatment-effect modification across sides of an indirect comparison cannot be directly assessed statistically; this is in contrast to direct head-to-head meta-analyses where Cochrane's Q statistic or I2 can be used. For ratio measures such as the odds ratio and relative risk, treatment-effect modification occurred for 10-33% of meta-analyses. For the risk difference (an arithmetic measure), the range was 15-46%. It is not prudent to assume similarity in an indirect comparison, based only on the result that ratio measures such as the odds ratio are reasonably robust to treatment-effect modification. All indirect comparisons should include a thorough narrative comparison of differences in patient characteristics and study methods. This will provide end users with the best evidence with which to make an assessment of the likelihood of treatment-effect modification and the plausibility of the similarity assumption.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N519720647d894d0da0d85c555f01eebc
46 N63f25321034142cfb5820dc796c57d20
47 sg:journal.1102812
48 schema:name Frequency of Treatment-EffectModification Affecting Indirect Comparisons
49 schema:pagination 723-732
50 schema:productId N1dee4332f11f491a9b77ba62f14b7152
51 N2362087fe9864b989bb00a44781f856e
52 N363ca0865633448397d5abe248d5d437
53 N56e460180348415a8889e30be76b6526
54 N6b6749cf24104c57b090987cb0478f4b
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050152897
56 https://doi.org/10.2165/11535670-000000000-00000
57 schema:sdDatePublished 2019-04-11T10:39
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher Na82015b2695a43bba8eafdb2656ab4a7
60 schema:url http://link.springer.com/10.2165%2F11535670-000000000-00000
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N0c4844c9fa0b4fa897f25e4cb276e365 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Cost-Benefit Analysis
66 rdf:type schema:DefinedTerm
67 N1dee4332f11f491a9b77ba62f14b7152 schema:name dimensions_id
68 schema:value pub.1050152897
69 rdf:type schema:PropertyValue
70 N21ceda4d8e0e4878929ce13a45afdc4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Humans
72 rdf:type schema:DefinedTerm
73 N2362087fe9864b989bb00a44781f856e schema:name readcube_id
74 schema:value eee9baf765ba4e1a164926bb7455163920a1ba1a96ced532c3573998dbe0ddd9
75 rdf:type schema:PropertyValue
76 N363ca0865633448397d5abe248d5d437 schema:name pubmed_id
77 schema:value 20545383
78 rdf:type schema:PropertyValue
79 N4798893e4a3f4c2c9a018c968e021433 rdf:first sg:person.01053520214.71
80 rdf:rest Nbb51d8c0e4fe482ab900a2c930433dd5
81 N519720647d894d0da0d85c555f01eebc schema:volumeNumber 28
82 rdf:type schema:PublicationVolume
83 N56e460180348415a8889e30be76b6526 schema:name nlm_unique_id
84 schema:value 9212404
85 rdf:type schema:PropertyValue
86 N63f25321034142cfb5820dc796c57d20 schema:issueNumber 9
87 rdf:type schema:PublicationIssue
88 N6b6749cf24104c57b090987cb0478f4b schema:name doi
89 schema:value 10.2165/11535670-000000000-00000
90 rdf:type schema:PropertyValue
91 N9310186a849a462e9f6735609084d748 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Randomized Controlled Trials as Topic
93 rdf:type schema:DefinedTerm
94 Na82015b2695a43bba8eafdb2656ab4a7 schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 Nbb51d8c0e4fe482ab900a2c930433dd5 rdf:first sg:person.012414131417.60
97 rdf:rest rdf:nil
98 Ncea7098b6aae4ca8ab73837b52dcd942 schema:name Cancer Epidemiology Centre, Cancer Council, 100 Drummond St, 3053, Carlton, Victoria, Australia
99 rdf:type schema:Organization
100 Nd842f931073a4877ac804135c6db50ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Meta-Analysis as Topic
102 rdf:type schema:DefinedTerm
103 Ne3338a5728394d04834a6002e6658a64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Treatment Outcome
105 rdf:type schema:DefinedTerm
106 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
107 schema:name Medical and Health Sciences
108 rdf:type schema:DefinedTerm
109 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
110 schema:name Public Health and Health Services
111 rdf:type schema:DefinedTerm
112 sg:journal.1102812 schema:issn 1170-7690
113 1179-2027
114 schema:name PharmacoEconomics
115 rdf:type schema:Periodical
116 sg:person.01053520214.71 schema:affiliation Ncea7098b6aae4ca8ab73837b52dcd942
117 schema:familyName Coory
118 schema:givenName Michael
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01053520214.71
120 rdf:type schema:Person
121 sg:person.012414131417.60 schema:affiliation https://www.grid.ac/institutes/grid.1003.2
122 schema:familyName Jordan
123 schema:givenName Susan
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012414131417.60
125 rdf:type schema:Person
126 sg:pub.10.2165/00019053-200826090-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011643694
127 https://doi.org/10.2165/00019053-200826090-00006
128 rdf:type schema:CreativeWork
129 sg:pub.10.2165/00019053-200927010-00002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038272342
130 https://doi.org/10.2165/00019053-200927010-00002
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1001/jama.1995.03520290060030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000662780
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1001/jama.273.5.408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054158551
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1002/(sici)1097-0258(19980430)17:8<841::aid-sim781>3.0.co;2-d schema:sameAs https://app.dimensions.ai/details/publication/pub.1051799330
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1002/1097-0258(20000715)19:13<1707::aid-sim491>3.0.co;2-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1000857256
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1002/sim.1186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047418980
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1002/sim.1188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034400687
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1002/sim.4780020219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045078814
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1002/sim.4780080202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012782712
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/0197-2456(86)90046-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034546744
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.jclinepi.2007.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023842083
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/j.jclinepi.2008.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044364229
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/s0033-0620(85)80003-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005904380
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s0140-6736(06)69615-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049684297
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s0140-6736(06)69638-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019614278
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s0140-6736(09)60046-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013725061
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/s0895-4356(00)00210-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021939258
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/s0895-4356(00)00347-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028314547
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/s0895-4356(97)00049-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012375750
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1017/s0266462308080240 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049279673
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1056/nejm195812182592505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046157181
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1093/ije/31.1.72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004115399
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1093/ije/31.1.76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044053237
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1136/bmj.326.7387.472 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031760247
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1136/bmj.331.7521.897 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046614013
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1136/bmj.39057.406644.68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039782765
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1136/bmj.b1147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025416310
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1177/096228029300200202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008321787
185 rdf:type schema:CreativeWork
186 https://doi.org/10.3310/hta9260 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071139834
187 rdf:type schema:CreativeWork
188 https://www.grid.ac/institutes/grid.1003.2 schema:alternateName University of Queensland
189 schema:name University of Queensland, School of Population Health, Herston, Queensland, Australia
190 rdf:type schema:Organization
 




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


...