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Items: 1 to 20 of 97

1.

Reduce dimension or reduce weights? Comparing two approaches to multi-arm studies in network meta-analysis.

Rücker G, Schwarzer G.

Stat Med. 2014 Nov 10;33(25):4353-69. doi: 10.1002/sim.6236. Epub 2014 Jun 18.

PMID:
24942211
2.

Meta-analysis and sensitivity analysis for multi-arm trials with selection bias.

Chootrakool H, Shi JQ, Yue R.

Stat Med. 2011 May 20;30(11):1183-98. doi: 10.1002/sim.4143. Epub 2011 Jan 16.

PMID:
21538449
3.

Network meta-analysis, electrical networks and graph theory.

Rücker G.

Res Synth Methods. 2012 Dec;3(4):312-24. doi: 10.1002/jrsm.1058. Epub 2012 Sep 25.

PMID:
26053424
4.

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
5.

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
6.

Linear mixed model approach to network meta-analysis for continuous outcomes in periodontal research.

Tu YK.

J Clin Periodontol. 2015 Feb;42(2):204-12. doi: 10.1111/jcpe.12362. Epub 2015 Feb 2.

PMID:
25581572
7.

A note on variance estimation in random effects meta-regression.

Sidik K, Jonkman JN.

J Biopharm Stat. 2005;15(5):823-38.

PMID:
16078388
8.

Meta-analysis of multiple outcomes by regression with random effects.

Berkey CS, Hoaglin DC, Antczak-Bouckoms A, Mosteller F, Colditz GA.

Stat Med. 1998 Nov 30;17(22):2537-50.

PMID:
9839346
9.

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.

10.

Longitudinal aggregate data model-based meta-analysis with NONMEM: approaches to handling within treatment arm correlation.

Ahn JE, French JL.

J Pharmacokinet Pharmacodyn. 2010 Apr;37(2):179-201. doi: 10.1007/s10928-010-9152-6. Epub 2010 Apr 1.

PMID:
20358280
11.

Use of generalized linear mixed models for network meta-analysis.

Tu YK.

Med Decis Making. 2014 Oct;34(7):911-8. doi: 10.1177/0272989X14545789.

PMID:
25260872
12.

Effectiveness of interventions that assist caregivers to support people with dementia living in the community: a systematic review.

Parker D, Mills S, Abbey J.

Int J Evid Based Healthc. 2008 Jun;6(2):137-72. doi: 10.1111/j.1744-1609.2008.00090.x.

PMID:
21631819
13.

Accounting for correlation in network meta-analysis with multi-arm trials.

Franchini AJ, Dias S, Ades AE, Jansen JP, Welton NJ.

Res Synth Methods. 2012 Jun;3(2):142-60. doi: 10.1002/jrsm.1049.

PMID:
26062087
14.

Meta-analysis of pairs of survival curves under heterogeneity: a Poisson correlated gamma-frailty approach.

Fiocco M, Putter H, van Houwelingen JC.

Stat Med. 2009 Dec 30;28(30):3782-97. doi: 10.1002/sim.3752.

PMID:
19899066
15.

Detecting outlying trials in network meta-analysis.

Zhang J, Fu H, Carlin BP.

Stat Med. 2015 Aug 30;34(19):2695-707. doi: 10.1002/sim.6509. Epub 2015 Apr 8.

16.

Statistical Models and Methods for Network Meta-Analysis.

Madden LV, Piepho HP, Paul PA.

Phytopathology. 2016 Aug;106(8):792-806. doi: 10.1094/PHYTO-12-15-0342-RVW. Epub 2016 Jul 5. Review.

PMID:
27111798
17.

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.

18.

Extending methods for investigating the relationship between treatment effect and baseline risk from pairwise meta-analysis to network meta-analysis.

Achana FA, Cooper NJ, Dias S, Lu G, Rice SJ, Kendrick D, Sutton AJ.

Stat Med. 2013 Feb 28;32(5):752-71. doi: 10.1002/sim.5539. Epub 2012 Aug 2.

PMID:
22865748
19.

Using Generalized Linear Mixed Models to Evaluate Inconsistency within a Network Meta-Analysis.

Tu YK.

Value Health. 2015 Dec;18(8):1120-5. doi: 10.1016/j.jval.2015.10.002. Epub 2015 Nov 12.

20.

Deriving percentage study weights in multi-parameter meta-analysis models: with application to meta-regression, network meta-analysis and one-stage individual participant data models.

Riley RD, Ensor J, Jackson D, Burke DL.

Stat Methods Med Res. 2017 Jan 1:962280216688033. doi: 10.1177/0962280216688033. [Epub ahead of print]

PMID:
28162044

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