Absolute or relative effects? Arm-based synthesis of trial data

Research Synthesis Methods

Volumn 7, Issue 1, 2016, Pages 23-28

  Dias, S ^a   Ades, A E ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARM;

ARM;

EID: 84959268633     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1184     Document Type: Note

References (36)

1. Achana FA, Cooper NJ, Dias S, Lu G, Rice SJC, Kendrick D, Sutton AJ. 2013. Extending methods for investigating the relationship between treatment effect and baseline risk from pairwise meta-analysis to network meta-analysis. Statistics in Medicine 35: 752-771.
2. Bujkiewicz S, Thompson JR, Sutton AJ, Cooper NJ, Harrison MJ, Symmons DP, Abrams KR. 2014. Use of Bayesian multivariate meta-analysis to estimate the HAQ for mapping onto the EQ-5D questionnaire in rheumatoid arthritis. Value in Health 17: 109-115.
3. Bujkiewicz S, Thompson JR, Sutton AJ, Cooper NJ, Harrison MJ, Symmons DPM, Abrams KR. 2013. Multivariate meta-analysis of mixed outcomes: a Bayesian approach. Statistics in Medicine 32: 3926-3943.
4. Caldwell DM, Ades AE, Higgins JPT. 2005. Simultaneous comparison of multiple treatments: combining direct and indirect evidence. BMJ 331: 897-900.
5. Caldwell DM, Welton NJ, Dias S, Ades AE. 2012. Selecting the best scale for measuring treatment effect in a network meta-analysis: a case study in childhood nocturnal enuresis. Research Synthesis Methods 3: 126-141.
6. Cooper H, Hedges LV, Valentine JC. 2009. The Handbook of Research Synthesis and Meta-analysis. New York: Russel Sage Foundation.
7. Dias S, Sutton AJ, Ades AE, Welton NJ. 2013a. Evidence Synthesis for Decision Making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Medical Decision Making 33: 607-617.
8. Dias S, Sutton AJ, Welton NJ, Ades AE. 2013b. Evidence Synthesis for Decision Making 3: heterogeneity-subgroups, meta-regression, bias and bias-adjustment. Medical Decision Making 33: 618-640.
9. Dias S, Welton NJ, Sutton AJ, Ades AE. 2011. NICE DSU Technical Support Document 2: a generalised linear modelling framework for pair-wise and network meta-analysis of randomised controlled trials. Technical Support Document. Available at: http://www.nicedsu.org.uk.
10. Dias S, Welton NJ, Sutton AJ, Ades AE. 2013c. Evidence Synthesis for Decision Making 5: the baseline natural history model. Medical Decision Making 33: 657-670.
11. Drummond MF, O'brien B, Stoddart GL, Torrance GW. 1997. Methods for the Economic Evaluation of Health Care Programmes. Oxford: Oxford University Press.
12. Efthimiou O, Mavridis D, Riley R, Cipriani A, Salanti G. 2014. Joint synthesis of multiple correlated outcomes in networks of interventions. Biostatistics DOI: 10.1093/biostatistics/kxu030.
13. Higgins JPT, Green S. 2008. Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.0 [updated February 2008]. Chichester, The Cochrane Collaboration: Wiley.
14. Hong H, Chu H, Zhang J, Carlin B. 2015a. A Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons. Research Synthesis Methods DOI: 10.1002/jrsm.1153.
15. Hong H, Fu H, Price KL, CArlin BP. 2015b. Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment. Statistics in Medicine 34: 2794-2819.
16. Hunink M, Glasziou P, Siegel J, Weeks J, Pliskin J, Elsetin A, Weinsein M. 2001. Decision Making in Health and Medicine: Integrating Evidence and Values. Cambridge: Cambridge University Press.
17. L'abbe KA, Detsky AS, O'rourke K. 1987. Meta-analysis in clinical research. Annals of Internal Medicine 107: 224-233.
18. Lu G, Ades A. 2004. Combination of direct and indirect evidence in mixed treatment comparisons. Statistics in Medicine 23: 3105-3124.
19. Lu G, Ades A. 2006. Assessing evidence consistency in mixed treatment comparisons. Journal of The American Statistical Association 101: 447-459.
20. Lu G, Ades AE. 2009. Modelling between-trial variance structure in mixed treatment comparisons. Biostatistics 10: 792-805.
21. Mantel N, Haenszel W. 1959. Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute 22: 719-748.
22. National Clinical Guideline Centre. 2014. Lipid Modification: Cardiovascular Risk Assessment and the Modification of Blood Lipids for the Primary and Secondary Prevention of Cardiovascular Disease. London: National Institute of Health and Care Excellence.
23. National Institute for Health and Clinical Excellence. 2012. Single Technology Appraisal (STA). Specification for Manufacturer/Sponsor Submission of Evidence. London: National Institute of Health and Care Excellence.
24. Norton E, Miller M, Wang J, Coyne KS, Kleinman L. 2012. Rank reversal in indirect comparisons. Value in Health 15: 1137-1140.
25. Ohlssen D, Price KL, Xia HA, Hong H, Kerman J, Fu H, Quartey G, Heilmann CR, Ma H, Carlin BP. 2014. Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis. Pharmaceutical Statistics 13: 55-70.
26. Prevost TC, Abrams KR, Jones DR. 2000. Hierarchical models in generalised synthesis of evidence: an example based on studies of breast cancer screening. Statistics in Medicine 19: 3359-3376.
27. Schmid CH, Trikalinos TA, Olkin I. 2014. Bayesian network meta-analysis for unordered categorical outcomes with incomplete data. Research Synthesis Methods 5: 162-185.
28. Senn S. 2010. Hans van Houwelingen and the art of summing up. Biometrical Journal 52: 85-94.
29. Smith TC, Spiegelhalter DJ, Thomas A. 1995. Bayesian approaches to random-effects meta-analysis: a comparative study. Statistics in Medicine 14: 2685-2699.
30. Song F. 1999. Exploring heterogenity in meta-analysis: is the L'Abbe plot useful. Journal of Clinical Epidemiology 52: 725-730.
31. Stone N, Trobinson J, Lichtenstein A, Barirey Merz N, Blum C, Eckel R, Et A. 2013. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults. Circulation 129: S1-S45.
32. Van Houwelingen HC, Zwinderman KH, Stijnen T. 1993. A bivariate approach to meta-analysis. Statistics in Medicine 12: 2273-2284.
33. Van Valkenhoef G, Ades AE. 2013. Evidence synthesis assumes additivity on the scale of measurement: response to "rank reversal in indirect comparisons". Value in Health 16: 449-451.
34. Zelen M. 1971. The analysis of several 2×2 tables. Biometrika 58: 129-137.
35. Zhang J, Carlin BP, Neaton JD, Soon GG, Nie L, Kane R, Virnig BA, Chu H. 2014. Network meta-analysis of randomized clinical trials: reporting the proper summaries. Clinical Trials 11: 246-262.
36. Zhang J, Fu H, Carlin BP. 2015. Detecting outlying trials in network meta-analysis. Statistics in Medicine 34: 2695-2707.