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Results: 1 to 20 of 106

1.

Is network meta-analysis as valid as standard pairwise meta-analysis? It all depends on the distribution of effect modifiers.

Jansen JP, Naci H.

BMC Med. 2013 Jul 4;11:159. doi: 10.1186/1741-7015-11-159. Review.

PMID:
23826681
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2.

Hoaglin DC, Hawkins N, Jansen JP, Scott DA, Itzler R, Cappelleri JC, Boersma C, Thompson D, Larholt KM, Diaz M, Barrett A.

Value Health. 2011 Jun;14(4):429-37. doi: 10.1016/j.jval.2011.01.011.

PMID:
21669367
[PubMed - indexed for MEDLINE]
3.

Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1.

Jansen JP, Fleurence R, Devine B, Itzler R, Barrett A, Hawkins N, Lee K, Boersma C, Annemans L, Cappelleri JC.

Value Health. 2011 Jun;14(4):417-28. doi: 10.1016/j.jval.2011.04.002.

PMID:
21669366
[PubMed - indexed for MEDLINE]
4.

Meta-regression models to address heterogeneity and inconsistency in network meta-analysis of survival outcomes.

Jansen JP, Cope S.

BMC Med Res Methodol. 2012 Oct 8;12:152. doi: 10.1186/1471-2288-12-152.

PMID:
23043545
[PubMed - indexed for MEDLINE]
Free PMC Article
5.

Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials.

Dias S, Welton NJ, Sutton AJ, Caldwell DM, Lu G, Ades AE.

Med Decis Making. 2013 Jul;33(5):641-56. doi: 10.1177/0272989X12455847.

PMID:
23804508
[PubMed - indexed for MEDLINE]
Free PMC Article
6.

Indirect comparisons of competing interventions.

Glenny AM, Altman DG, Song F, Sakarovitch C, Deeks JJ, D'Amico R, Bradburn M, Eastwood AJ; International Stroke Trial Collaborative Group.

Health Technol Assess. 2005 Jul;9(26):1-134, iii-iv.

PMID:
16014203
[PubMed - indexed for MEDLINE]
Free Article
7.

Frequency of treatment-effect modification affecting indirect comparisons: a systematic review.

Coory M, Jordan S.

Pharmacoeconomics. 2010;28(9):723-32. doi: 10.2165/11535670-000000000-00000. Review.

PMID:
20545383
[PubMed - indexed for MEDLINE]
8.

Directed acyclic graphs can help understand bias in indirect and mixed treatment comparisons.

Jansen JP, Schmid CH, Salanti G.

J Clin Epidemiol. 2012 Jul;65(7):798-807. doi: 10.1016/j.jclinepi.2012.01.002. Epub 2012 Apr 20.

PMID:
22521579
[PubMed - indexed for MEDLINE]
9.

Surgical versus nonsurgical treatment of acute minimally displaced and undisplaced scaphoid waist fractures: pairwise and network meta-analyses of randomized controlled trials.

Ibrahim T, Qureshi A, Sutton AJ, Dias JJ.

J Hand Surg Am. 2011 Nov;36(11):1759-1768.e1. doi: 10.1016/j.jhsa.2011.08.033. Review.

PMID:
22036276
[PubMed - indexed for MEDLINE]
10.

Evaluating the quality of evidence from a network meta-analysis.

Salanti G, Del Giovane C, Chaimani A, Caldwell DM, Higgins JP.

PLoS One. 2014 Jul 3;9(7):e99682. doi: 10.1371/journal.pone.0099682. eCollection 2014.

PMID:
24992266
[PubMed - in process]
Free PMC Article
11.

Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons.

König J, Krahn U, Binder H.

Stat Med. 2013 Dec 30;32(30):5414-29. doi: 10.1002/sim.6001. Epub 2013 Oct 4.

PMID:
24123165
[PubMed - indexed for MEDLINE]
12.

Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses.

Song F, Altman DG, Glenny AM, Deeks JJ.

BMJ. 2003 Mar 1;326(7387):472.

PMID:
12609941
[PubMed - indexed for MEDLINE]
Free PMC Article
13.

Overview of the epidemiology methods and applications: strengths and limitations of observational study designs.

Colditz GA.

Crit Rev Food Sci Nutr. 2010;50 Suppl 1:10-2. doi: 10.1080/10408398.2010.526838.

PMID:
21132580
[PubMed - indexed for MEDLINE]
Free PMC Article
14.

Indirect comparisons of therapeutic interventions.

Schöttker B, Lühmann D, Boulkhemair D, Raspe H.

GMS Health Technol Assess. 2009 Jul 21;5:Doc09. doi: 10.3205/hta000071.

PMID:
21289896
[PubMed]
Free PMC Article
15.

Graphical exploration of network meta-analysis data: the use of multidimensional scaling.

Chung H, Lumley T.

Clin Trials. 2008;5(4):301-7. doi: 10.1177/1740774508093614.

PMID:
18697844
[PubMed - indexed for MEDLINE]
16.

Sample size and power considerations in network meta-analysis.

Thorlund K, Mills EJ.

Syst Rev. 2012 Sep 19;1:41. doi: 10.1186/2046-4053-1-41.

PMID:
22992327
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

A graphical tool for locating inconsistency in network meta-analyses.

Krahn U, Binder H, König J.

BMC Med Res Methodol. 2013 Mar 9;13:35. doi: 10.1186/1471-2288-13-35.

PMID:
23496991
[PubMed - indexed for MEDLINE]
Free PMC Article
18.

Assessing the impact of attrition in randomized controlled trials.

Hewitt CE, Kumaravel B, Dumville JC, Torgerson DJ; Trial attrition study group.

J Clin Epidemiol. 2010 Nov;63(11):1264-70. doi: 10.1016/j.jclinepi.2010.01.010. Epub 2010 Jun 22.

PMID:
20573482
[PubMed - indexed for MEDLINE]
19.

Bisphosphonates in multiple myeloma: a network meta-analysis.

Mhaskar R, Redzepovic J, Wheatley K, Clark OA, Miladinovic B, Glasmacher A, Kumar A, Djulbegovic B.

Cochrane Database Syst Rev. 2012 May 16;5:CD003188. doi: 10.1002/14651858.CD003188.pub3. Review.

PMID:
22592688
[PubMed - indexed for MEDLINE]
20.

Meta-analyses: what they can and cannot do.

Nordmann AJ, Kasenda B, Briel M.

Swiss Med Wkly. 2012 Mar 9;142:w13518. doi: 10.4414/smw.2012.13518. Review.

PMID:
22407741
[PubMed - indexed for MEDLINE]
Free Article

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