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 N700f55243b4b4954862f36803c38568d
2 N7bc9d6724031419abf6ef4798c559d95
3 Na084ab1d159d4cac83652ef3851e66a1
4 Na9a3c9af7449470584373cf74e1a4640
5 Naeb124e7f6604acdbf766019ca187736
6 anzsrc-for:11
7 anzsrc-for:1117
8 schema:author N6f1d1ece92a74c2a8a3ba91ad504b76e
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 N4fd7159e408847708adfd43d65b34929
46 Nb3d5b00eb09d4d40bc9bd3e4a92fd91a
47 sg:journal.1102812
48 schema:name Frequency of Treatment-EffectModification Affecting Indirect Comparisons
49 schema:pagination 723-732
50 schema:productId N0cbc774dcbe64b9ebdc2a6619e2361ed
51 N0ed9bbb597d7438682650534203b9b70
52 N49625f7b0e3d44fea675cde9c3236608
53 N65582fb7e191481bb23e3a59954ac5c7
54 N6b5a3c1c176a4f52a5954aa874a13501
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 N44a0904f91e34b1889812e3a04bbc42b
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 N0cbc774dcbe64b9ebdc2a6619e2361ed schema:name readcube_id
65 schema:value eee9baf765ba4e1a164926bb7455163920a1ba1a96ced532c3573998dbe0ddd9
66 rdf:type schema:PropertyValue
67 N0ed9bbb597d7438682650534203b9b70 schema:name nlm_unique_id
68 schema:value 9212404
69 rdf:type schema:PropertyValue
70 N440eb45374014f448c9de6735bf9e424 rdf:first sg:person.012414131417.60
71 rdf:rest rdf:nil
72 N44a0904f91e34b1889812e3a04bbc42b schema:name Springer Nature - SN SciGraph project
73 rdf:type schema:Organization
74 N49625f7b0e3d44fea675cde9c3236608 schema:name dimensions_id
75 schema:value pub.1050152897
76 rdf:type schema:PropertyValue
77 N4fd7159e408847708adfd43d65b34929 schema:volumeNumber 28
78 rdf:type schema:PublicationVolume
79 N53e9791419ca4f369150b7244b2750ba schema:name Cancer Epidemiology Centre, Cancer Council, 100 Drummond St, 3053, Carlton, Victoria, Australia
80 rdf:type schema:Organization
81 N65582fb7e191481bb23e3a59954ac5c7 schema:name doi
82 schema:value 10.2165/11535670-000000000-00000
83 rdf:type schema:PropertyValue
84 N6b5a3c1c176a4f52a5954aa874a13501 schema:name pubmed_id
85 schema:value 20545383
86 rdf:type schema:PropertyValue
87 N6f1d1ece92a74c2a8a3ba91ad504b76e rdf:first sg:person.01053520214.71
88 rdf:rest N440eb45374014f448c9de6735bf9e424
89 N700f55243b4b4954862f36803c38568d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Randomized Controlled Trials as Topic
91 rdf:type schema:DefinedTerm
92 N7bc9d6724031419abf6ef4798c559d95 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Cost-Benefit Analysis
94 rdf:type schema:DefinedTerm
95 Na084ab1d159d4cac83652ef3851e66a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Humans
97 rdf:type schema:DefinedTerm
98 Na9a3c9af7449470584373cf74e1a4640 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Treatment Outcome
100 rdf:type schema:DefinedTerm
101 Naeb124e7f6604acdbf766019ca187736 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Meta-Analysis as Topic
103 rdf:type schema:DefinedTerm
104 Nb3d5b00eb09d4d40bc9bd3e4a92fd91a schema:issueNumber 9
105 rdf:type schema:PublicationIssue
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 N53e9791419ca4f369150b7244b2750ba
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)


...