-
1
-
-
0037199837
-
Network meta-analysis for indirect treatment comparisons
-
Lumley T. Network meta-analysis for indirect treatment comparisons. Stat Med, 2002, 21(16): 2313-24.
-
(2002)
Stat Med
, vol.21
, Issue.16
, pp. 2313-2324
-
-
Lumley, T.1
-
2
-
-
84881602867
-
Evaluation of inconsistency in networks of interventions
-
Veroniki AA, Vasiliadis HS, Higgins JP, et al. Evaluation of inconsistency in networks of interventions. Int J Epidemiol, 2013, 42(1): 332-345.
-
(2013)
Int J Epidemiol
, vol.42
, Issue.1
, pp. 332-345
-
-
Veroniki, A.A.1
Vasiliadis, H.S.2
Higgins, J.P.3
-
3
-
-
84867059257
-
Meta-regression models to address heterogeneity and inconsistency in network meta-analysis of survival outcomes
-
Jansen JP, Cope S. Meta-regression models to address heterogeneity and inconsistency in network meta-analysis of survival outcomes. BMC Med Res Methodol, 2012, 12: 152.
-
(2012)
BMC Med Res Methodol
, vol.12
, pp. 152
-
-
Jansen, J.P.1
Cope, S.2
-
4
-
-
0030793120
-
The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials
-
Bucher HC, Guyatt GH, Griffith LE, et al. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol, 1997, 50(6): 683-691.
-
(1997)
J Clin Epidemiol
, vol.50
, Issue.6
, pp. 683-691
-
-
Bucher, H.C.1
Guyatt, G.H.2
Griffith, L.E.3
-
5
-
-
84879754189
-
Evidence synthesis for decision making 4: Inconsistency in networks of evidence based on randomized controlled trials
-
Dias S, Welton NJ, Sutton AJ, et al. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Med Decis Making, 2013, 33(5): 641-656.
-
(2013)
Med Decis Making
, vol.33
, Issue.5
, pp. 641-656
-
-
Dias, S.1
Welton, N.J.2
Sutton, A.J.3
-
6
-
-
77949420042
-
Checking consistency in mixed treatment comparison meta-analysis
-
Dias S, Welton NJ, Caldwell DM, et al. Checking consistency in mixed treatment comparison meta-analysis. Stat Med, 2010, 29(7-8): 932-944.
-
(2010)
Stat Med
, vol.29
, Issue.7-8
, pp. 932-944
-
-
Dias, S.1
Welton, N.J.2
Caldwell, D.M.3
-
7
-
-
51149095603
-
Use of indirect and mixed treatment comparisons for technology assessment
-
Sutton A, Ades AE, Cooper N, et al. Use of indirect and mixed treatment comparisons for technology assessment. Pharmacoeconomics, 2008, 26(9): 753-767.
-
(2008)
Pharmacoeconomics
, vol.26
, Issue.9
, pp. 753-767
-
-
Sutton, A.1
Ades, A.E.2
Cooper, N.3
-
8
-
-
80052708232
-
Consistency between direct and indirect trial evidence: Is direct evidence always more reliable?
-
Madan J, Stevenson MD, Cooper KL, et al. Consistency between direct and indirect trial evidence: is direct evidence always more reliable? Value Health, 2011, 14(6): 953-960.
-
(2011)
Value Health
, vol.14
, Issue.6
, pp. 953-960
-
-
Madan, J.1
Stevenson, M.D.2
Cooper, K.L.3
-
9
-
-
67649215130
-
Methodological problems in the use of indirect comparisons for evaluating healthcare interventions: Survey of published systematic reviews
-
Song F, Loke Y, Walsh T, et al. Methodological problems in the use of indirect comparisons for evaluating healthcare interventions: survey of published systematic reviews. BMJ, 2009, 338: b1147.
-
(2009)
BMJ
, vol.338
, pp. 1147
-
-
Song, F.1
Loke, Y.2
Walsh, T.3
-
10
-
-
69749100189
-
Indirect comparison: Relative risk fallacies and odds solution
-
Eckermann S, Coory M, Willan AR. Indirect comparison: relative risk fallacies and odds solution. J Clin Epidemiol, 2009, 62(10): 1031-1036.
-
(2009)
J Clin Epidemiol
, vol.62
, Issue.10
, pp. 1031-1036
-
-
Eckermann, S.1
Coory, M.2
Willan, A.R.3
-
11
-
-
84865757599
-
Using indirect evidence to determine the comparative effectiveness of prescription drugs: Do benefits outweigh risks?
-
Naci H, Fleurence R. Using indirect evidence to determine the comparative effectiveness of prescription drugs: do benefits outweigh risks? Health Outcomes Res Med, 2011, 2(4): e241-e249.
-
(2011)
Health Outcomes Res Med
, vol.2
, Issue.4
-
-
Naci, H.1
Fleurence, R.2
-
12
-
-
84873420647
-
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, et al. Extending methods for investigating the relationship between treatment effect and baseline risk from pairwise meta-analysis to network meta-analysis. Stat Med, 2013, 32(5):752-771.
-
(2013)
Stat Med
, vol.32
, Issue.5
, pp. 752-771
-
-
Achana, F.A.1
Cooper, N.J.2
Dias, S.3
-
13
-
-
84884204520
-
Unsolved issues of mixed treatment comparison meta-analysis: Network size and inconsistency
-
Sturtz S, Bender R. Unsolved issues of mixed treatment comparison meta-analysis: network size and inconsistency. Res Synth Methods, 2012, 3(4): 300-311.
-
(2012)
Res Synth Methods
, vol.3
, Issue.4
, pp. 300-311
-
-
Sturtz, S.1
Bender, R.2
-
14
-
-
84866025505
-
Simulation evaluation of statistical properties of methods for indirect and mixed treatment comparisons
-
Song F, Clark A, Bachmann M, Maas J. Simulation evaluation of statistical properties of methods for indirect and mixed treatment comparisons. BMC Med Res Methodol, 2012, 12: 138.
-
(2012)
BMC Med Res Methodol
, vol.12
, pp. 138
-
-
Song, F.1
Clark, A.2
Bachmann, M.3
Maas, J.4
-
15
-
-
34848859023
-
Comparison of metaanalytic results of indirect, direct, and combined comparisons of drugs for chronic insomnia in adults: A case study
-
Vandermeer BW, Buscemi N, Liang Y, et al. Comparison of metaanalytic results of indirect, direct, and combined comparisons of drugs for chronic insomnia in adults: a case study. Med Care, 2007, 45(10 Supl 2): S166-S172.
-
(2007)
Med Care
, vol.45
, Issue.10 SUPPL. 2
-
-
Vandermeer, B.W.1
Buscemi, N.2
Liang, Y.3
-
16
-
-
79959276584
-
Multiple treatment comparison meta-analyses: A step forward into complexity
-
Mills E, Bansback N, Ghement I, et al. Multiple treatment comparison meta-analyses: a step forward into complexity. Clin Epidemiol, 2011, 3: 193-202.
-
(2011)
Clin Epidemiol
, vol.3
, pp. 193-202
-
-
Mills, E.1
Bansback, N.2
Ghement, I.3
-
17
-
-
77956626099
-
Study designs to detect sponsorship and other biases in systematic reviews
-
Dias S, Welton NJ, Ades AE. Study designs to detect sponsorship and other biases in systematic reviews. J Clin Epidemiol, 2010, 63(6): 587-588.
-
(2010)
J Clin Epidemiol
, vol.63
, Issue.6
, pp. 587-588
-
-
Dias, S.1
Welton, N.J.2
Ades, A.E.3
-
18
-
-
58149130293
-
Graphical exploration of network metaanalysis data: The use of multidimensional scaling
-
Chung H, Lumley T. Graphical exploration of network metaanalysis data: the use of multidimensional scaling. Clin Trials, 2008, 5(4):301-307.
-
(2008)
Clin Trials
, vol.5
, Issue.4
, pp. 301-307
-
-
Chung, H.1
Lumley, T.2
-
19
-
-
84871663863
-
Linear inference for mixed treatment comparison meta-analysis: A two-stage approach
-
Lu G, Welton N, Higgins J, et al. Linear inference for mixed treatment comparison meta-analysis: a two-stage approach. Res Synth Methods, 2011, 2(1): 43-60.
-
(2011)
Res Synth Methods
, vol.2
, Issue.1
, pp. 43-60
-
-
Lu, G.1
Welton, N.2
Higgins, J.3
-
20
-
-
84877582368
-
Network meta-analysis, electrical networks and graph theory
-
Rücker G. Network meta-analysis, electrical networks and graph theory. Res Synth Methods, 2012, 3(4): 312-324.
-
(2012)
Res Synth Methods
, vol.3
, Issue.4
, pp. 312-324
-
-
Rücker, G.1
-
21
-
-
84902370968
-
Network-meta analysis made easy: Detection of inconsistency using factorial analysis-of-variance models
-
Piepho HP. Network-meta analysis made easy: Detection of inconsistency using factorial analysis-of-variance models. BMC Med Res Methodol, 2014, 14(1): 61.
-
(2014)
BMC Med Res Methodol
, vol.14
, Issue.1
, pp. 61
-
-
Piepho, H.P.1
-
22
-
-
0015727259
-
Symbolic description of factorial models for analysis of variance
-
Wilkinson GN, Rogers CE. Symbolic description of factorial models for analysis of variance. Appl Stat, 1973, 22(3): 392-399.
-
(1973)
Appl Stat
, vol.22
, Issue.3
, pp. 392-399
-
-
Wilkinson, G.N.1
Rogers, C.E.2
|