Lu G, Ades A, Sutton A, Cooper N, Briggs A, Caldwell D. Meta-analysis of mixed treatment comparisons at multiple follow-up times. Stat Med. 2007;26(20):3681–99.
Article
CAS
PubMed
Google Scholar
Lumley T. Network meta-analysis for indirect treatment comparisons. Stat Med. 2002;21(16):2313–24.
Article
PubMed
Google Scholar
Lu G, Ades A. Combination of direct and indirect evidence in mixed treatment comparisons. Stat Med. 2004;23(20):3105–24.
Article
CAS
PubMed
Google Scholar
Ades A, Sculpher M, Sutton A, Abrams K, Cooper N, Welton N, Lu G. Bayesian methods for evidence synthesis in cost-effectiveness analysis. Pharmacoeconomics. 2006;24(1):1–19.
Article
CAS
PubMed
Google Scholar
Riley RD, Simmonds MC, Look MP. Evidence synthesis combining individual patient data and aggregate data: a systematic review identified current practice and possible methods. J Clin Epidemiol. 2007;60(5):431–9.
Article
PubMed
Google Scholar
Riley RD, Dodd SR, Craig JV, Thompson JR, Williamson PR. Meta-analysis of diagnostic test studies using individual patient data and aggregate data. Stat Med. 2008;27(29):6111–36.
Article
PubMed
Google Scholar
Riley RD, Lambert PC, Staessen JA, Wang J, Gueyffier F, Thijs L, Boutitie F. Meta-analysis of continuous outcomes combining individual patient data and aggregate data. Stat Med. 2008;27(11):1870–93.
Article
PubMed
Google Scholar
Sutton A, Kendrick D, Coupland C. Meta-analysis of individual- and aggregate-level data. Stat Med. 2008;27(5):651–69.
Article
CAS
PubMed
Google Scholar
Riley RD, Lambert PC, Abo-Zaid G. Meta-analysis of individual participant data: rationale, conduct, and reporting. Brit Med J. 2010;340:c221.
Article
PubMed
Google Scholar
Saramago P, Sutton A, Cooper N, Manca A. Mixed treatment comparisons using aggregate and individual participant level data. Stat Med. 2012;31(28):3516–36.
Article
PubMed
Google Scholar
Dias S, Welton N, Caldwell D, Ades A. Checking consistency in mixed treatment comparison meta-analysis. Stat Med. 2010;29(7–8):932–44.
Article
CAS
PubMed
Google Scholar
Donegan S, Williamson P, D'Alessandro U, Smith CT. Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treatment comparison meta-analysis: individual patient-level covariates versus aggregate trial-level covariates. Stat Med. 2012;31(29):3840–57.
Article
PubMed
Google Scholar
Saramago P, Manca A, Sutton A. Deriving input parameters for cost-effectiveness modeling: Taxonomy of data types and approaches to their statistical synthesis. Value Health. 2012;15(5):639–49.
Article
PubMed
Google Scholar
Saramago P, Chuang LH, Soares MO. Network meta-analysis of (individual patient) time to event data alongside (aggregate) count data. BMC Med Res Methodol. 2014;14:105.
Article
PubMed
PubMed Central
Google Scholar
Hong H, Fu H, Price KL, Carlin BP. Incorporation of individual-patient data in network meta-analysis for multiple continuous endpoints, with application to diabetes treatment. Stat Med. 2015;34(20):2794–819.
Article
PubMed
Google Scholar
Thom HH, Capkun G, Cerulli A, Nixon RM, Howard LS. Network meta-analysis combining individual patient and aggregate data from a mixture of study designs with an application to pulmonary arterial hypertension. BMC Med Res Methodol. 2015;15:34.
Article
PubMed
PubMed Central
Google Scholar
Deeks JJ, Higgins JPT, Altman DG. Chapter 9: analysing data and undertaking meta-analyses. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions version 5.0.1 [updated September 2008]. The Cochrane Collaboration; 2008. Available from www.handbook.cochrane.org.
Fu R, Vandermeer BW, Shamliyan TA, O’Neil ME, Yazdi F, Fox SH, Morton SC. Handling Continuous Outcomes. In: Quantitative Synthesis. Methods Guide for Comparative Effectiveness Reviews. (Prepared by the Oregon Evidence-based Practice Center under Contract No. 290-2007-10057-I.) AHRQ Publication No. 13-EHC103-EF. Rockville, MD: Agency for Healthcare Research and Quality. July 2013. Available from www.effectivehealthcare.ahrq.gov/reports/final.cfm
Vickers A, Altman D. Analysing controlled trials with baseline and follow up measurements. Brit Med J. 2001;323(7321):1123–4.
Article
CAS
PubMed
PubMed Central
Google Scholar
Dias S, Welton NJ, Sutton AJ, Ades AE. NICE DSU Technical Support Document 2: A generalised linear modelling framework for pairwise and network meta-analysis of randomised controlled trials. NICE; 2011. Available from http://www.nicedsu.org.uk/.
Higgins J, Green S. Cochrane handbook for systematic reviews of interventions, Version 5.1.0 [updated March 2011]. edn. Oxford: Wiley-Blackwell; 2011.
Google Scholar
Riley R, Kauser I, Bland M, Thijs L, Staessen J, Wang J, Gueyffier F, Deeks J. Meta-analysis of randomised trials with a continuous outcome according to baseline imbalance and availability of individual participant data. Stat Med. 2013;32(16):2747–66.
Article
PubMed
Google Scholar
Scott D, Boye K, Timlin L, Clark J, Best J. A network meta-analysis to compare glycaemic control in patients with type 2 diabetes treated with exenatide once weekly or liraglutide once daily in comparison with insulin glargine, exenatide twice daily or placebo. Diabetes Obes Metab. 2013;15(3):213–23.
Article
CAS
PubMed
Google Scholar
Cooper N, Sutton A, Lu G, Khunti K. Mixed comparison of stroke prevention treatments in individuals with nonrheumatic atrial fibrillation. Arch Intern Med. 2006;166(12):1269–75.
Article
PubMed
Google Scholar
Nikolakopoulou A, Chaimani A, Veroniki A, Vasiliadis H, Schmid C, Salanti G. Characteristics of networks of interventions: a description of a database of 186 published networks. Plos One. 2014;9(1):e86754.
Article
PubMed
PubMed Central
Google Scholar
NICE. NICE guideline on low back pain: early management of persistent non-specific low back pain. 2009.
Google Scholar
NICE. NICE guideline on diagnosis and management of headaches in young people and adults. 2012.
Google Scholar
NICE. NICE guideline on osteoarthritis: the care and management of osteoarthritis in adults. 2014.
Google Scholar
Latimer N. NICE guideline on osteoarthritis: is it fair to acupuncture? Yes. Acupunct Med. 2009;27(2):72–5.
Article
PubMed
Google Scholar
Latimer NR, Bhanu AC, Whitehurst DG. Inconsistencies in NICE guidance for acupuncture: reanalysis and discussion. Acupunct Med. 2012;30(3):182–6.
Article
PubMed
Google Scholar
Cummings M. Why recommend acupuncture for low back pain but not for osteoarthritis? A commentary on recent NICE guidelines. Acupunct Med. 2009;27(3):128–9.
Article
PubMed
Google Scholar
White A. NICE guideline on osteoarthritis: is it fair to acupuncture? No. Acupunct Med. 2009;27(2):70–2.
Article
PubMed
Google Scholar
MacPherson H, Vickers A, Bland B, Torgerson D, Corbett M, Spackman E, Saramago P, Woods B, Sculpher M, Manca A, et al. Acupuncture for chronic pain and depression in primary care: a programme of research. NIHR J. 2016. (in press).
Vickers AJ, Cronin AM, Maschino AC, Lewith G, Macpherson H, Victor N, Sherman KJ, Witt C, Linde K. Individual patient data meta-analysis of acupuncture for chronic pain: protocol of the Acupuncture Trialists’ Collaboration. Trials. 2010;11:90.
Article
PubMed
PubMed Central
Google Scholar
Vickers AJ, Cronin AM, Maschino AC, Lewith G, MacPherson H, Foster NE, Sherman KJ, Witt CM, Linde K. Acupuncture for chronic pain: individual patient data meta-analysis. Arch Intern Med. 2012;172(19):1444–53.
Article
PubMed
PubMed Central
Google Scholar
Berman BM, Lao L, Langenberg P, Lee WL, Gilpin AM, Hochberg MC. Effectiveness of acupuncture as adjunctive therapy in osteoarthritis of the knee: a randomized, controlled trial. Ann Intern Med. 2004;141(12):901–10.
Article
PubMed
Google Scholar
Vas J, Mendez C, Perea-Milla E, Vega E, Panadero MD, Leon JM, Borge MA, Gaspar O, Sanchez-Rodriguez F, Aguilar I, et al. Acupuncture as a complementary therapy to the pharmacological treatment of osteoarthritis of the knee: randomised controlled trial. BMJ. 2004;329(7476):1216.
Article
PubMed
PubMed Central
Google Scholar
Witt C, Brinkhaus B, Jena S, Linde K, Streng A, Wagenpfeil S, Hummelsberger J, Walther HU, Melchart D, Willich SN. Acupuncture in patients with osteoarthritis of the knee: a randomised trial. Lancet. 2005;366(9480):136–43.
Article
CAS
PubMed
Google Scholar
Scharf HP, Mansmann U, Streitberger K, Witte S, Kramer J, Maier C, Trampisch HJ, Victor N. Acupuncture and knee osteoarthritis: a three-armed randomized trial. Ann Intern Med. 2006;145(1):12–20.
Article
PubMed
Google Scholar
Witt CM, Jena S, Brinkhaus B, Liecker B, Wegscheider K, Willich SN. Acupuncture in patients with osteoarthritis of the knee or hip: a randomized, controlled trial with an additional nonrandomized arm. Arthritis Rheum. 2006;54(11):3485–93.
Article
PubMed
Google Scholar
Foster NE, Thomas E, Barlas P, Hill JC, Young J, Mason E, Hay EM. Acupuncture as an adjunct to exercise based physiotherapy for osteoarthritis of the knee: randomised controlled trial. BMJ. 2007;335(7617):436.
Article
PubMed
PubMed Central
Google Scholar
Williamson L, Wyatt MR, Yein K, Melton JT. Severe knee osteoarthritis: a randomized controlled trial of acupuncture, physiotherapy (supervised exercise) and standard management for patients awaiting knee replacement. Rheumatology (Oxford). 2007;46(9):1445–9.
Article
CAS
Google Scholar
Vickers AJ, Rees RW, Zollman CE, McCarney R, Smith CM, Ellis N, Fisher P, Van Haselen R, Wonderling D, Grieve R. Acupuncture of chronic headache disorders in primary care: randomised controlled trial and economic analysis. Health Technol Assess. 2004;8(48):iii. 1–35.
Article
CAS
PubMed
Google Scholar
Linde K, Streng A, Jurgens S, Hoppe A, Brinkhaus B, Witt C, Wagenpfeil S, Pfaffenrath V, Hammes MG, Weidenhammer W, et al. Acupuncture for patients with migraine: a randomized controlled trial. JAMA. 2005;293(17):2118–25.
Article
CAS
PubMed
Google Scholar
Melchart D, Streng A, Hoppe A, Brinkhaus B, Witt C, Wagenpfeil S, Pfaffenrath V, Hammes M, Hummelsberger J, Irnich D, et al. Acupuncture in patients with tension-type headache: randomised controlled trial. BMJ. 2005;331(7513):376–82.
Article
PubMed
PubMed Central
Google Scholar
Diener HC, Kronfeld K, Boewing G, Lungenhausen M, Maier C, Molsberger A, Tegenthoff M, Trampisch HJ, Zenz M, Meinert R. Efficacy of acupuncture for the prophylaxis of migraine: a multicentre randomised controlled clinical trial. Lancet Neurol. 2006;5(4):310–6.
Article
PubMed
Google Scholar
Endres HG, Bowing G, Diener HC, Lange S, Maier C, Molsberger A, Zenz M, Vickers AJ, Tegenthoff M. Acupuncture for tension-type headache: a multicentre, sham-controlled, patient-and observer-blinded, randomised trial. J Headache Pain. 2007;8(5):306–14.
Article
PubMed
PubMed Central
Google Scholar
Jena S, Witt CM, Brinkhaus B, Wegscheider K, Willich SN. Acupuncture in patients with headache. Cephalalgia. 2008;28(9):969–79.
Article
CAS
PubMed
Google Scholar
Kleinhenz J, Streitberger K, Windeler J, Gussbacher A, Mavridis G, Martin E. Randomised clinical trial comparing the effects of acupuncture and a newly designed placebo needle in rotator cuff tendinitis. Pain. 1999;83(2):235–41.
Article
CAS
PubMed
Google Scholar
Carlsson CP, Sjolund BH. Acupuncture for chronic low back pain: a randomized placebo-controlled study with long-term follow-up. Clin J Pain. 2001;17(4):296–305.
Article
CAS
PubMed
Google Scholar
Irnich D, Behrens N, Molzen H, Konig A, Gleditsch J, Krauss M, Natalis M, Senn E, Beyer A, Schops P. Randomised trial of acupuncture compared with conventional massage and “sham” laser acupuncture for treatment of chronic neck pain. BMJ. 2001;322(7302):1574–8.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kerr DP, Walsh DM, Baxter D. Acupuncture in the management of chronic low back pain: a blinded randomized controlled trial. Clin J Pain. 2003;19(6):364–70.
Article
PubMed
Google Scholar
de Hoyos JA G, Andres Martin Mdel C, Bassas y Baena de Leon E, Vigara Lopez M, Molina Lopez T, Verdugo Morilla FA, Gonzalez Moreno MJ. Randomised trial of long term effect of acupuncture for shoulder pain. Pain. 2004;112(3):289–98.
Article
Google Scholar
White P, Lewith G, Prescott P, Conway J. Acupuncture versus placebo for the treatment of chronic mechanical neck pain: a randomized, controlled trial. Ann Intern Med. 2004;141(12):911–9.
Article
PubMed
Google Scholar
Brinkhaus B, Witt CM, Jena S, Linde K, Streng A, Wagenpfeil S, Irnich D, Walther HU, Melchart D, Willich SN. Acupuncture in patients with chronic low back pain: a randomized controlled trial. Arch Intern Med. 2006;166(4):450–7.
PubMed
Google Scholar
Salter GC, Roman M, Bland MJ, MacPherson H. Acupuncture for chronic neck pain: a pilot for a randomised controlled trial. BMC Musculoskelet Disord. 2006;7:99.
Article
PubMed
PubMed Central
Google Scholar
Vas J, Perea-Milla E, Mendez C, Sanchez Navarro C, Leon Rubio JM, Brioso M, Garcia Obrero I. Efficacy and safety of acupuncture for chronic uncomplicated neck pain: a randomised controlled study. Pain. 2006;126(1–3):245–55.
Article
PubMed
Google Scholar
Thomas KJ, MacPherson H, Ratcliffe J, Thorpe L, Brazier J, Campbell M, Fitter M, Roman M, Walters S, Nicholl JP. Longer term clinical and economic benefits of offering acupuncture care to patients with chronic low back pain. Health Technol Assess. 2005;9(32):iii−+.
Article
Google Scholar
Witt CM, Jena S, Brinkhaus B, Liecker B, Wegscheider K, Willich SN. Acupuncture for patients with chronic neck pain. Pain. 2006;125(1–2):98–106.
Article
PubMed
Google Scholar
Witt CM, Jena S, Selim D, Brinkhaus B, Reinhold T, Wruck K, Liecker B, Linde K, Wegscheider K, Willich SN. Pragmatic randomized trial evaluating the clinical and economic effectiveness of acupuncture for chronic low back pain. Am J Epidemiol. 2006;164(5):487–96.
Article
PubMed
Google Scholar
Haake M, Muller HH, Schade-Brittinger C, Basler HD, Schafer H, Maier C, Endres HG, Trampisch HJ, Molsberger A. German Acupuncture Trials (GERAC) for chronic low back pain: randomized, multicenter, blinded, parallel-group trial with 3 groups. Arch Intern Med. 2007;167(17):1892–8.
Article
PubMed
Google Scholar
Kennedy S, Baxter GD, Kerr DP, Bradbury I, Park J, McDonough SM. Acupuncture for acute non-specific low back pain: a pilot randomised non-penetrating sham controlled trial. Complement Ther Med. 2008;16(3):139–46.
Article
CAS
PubMed
Google Scholar
Vas J, Ortega C, Olmo V, Perez-Fernandez F, Hernandez L, Medina I, Seminario JM, Herrera A, Luna F, Perea-Milla E, et al. Single-point acupuncture and physiotherapy for the treatment of painful shoulder: a multicentre randomized controlled trial. Rheumatology (Oxford). 2008;47(6):887–93.
Article
CAS
Google Scholar
Dias S, Sutton AJ, Ades AE, Welton NJ. Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Med Decis Making. 2013;33(5):607–17.
Article
PubMed
PubMed Central
Google Scholar
Takeshima N, Sozu T, Tajika A, Ogawa Y, Hayasaka Y, Furukawa TA. Which is more generalizable, powerful and interpretable in meta-analyses, mean difference or standardized mean difference? BMC Med Res Methodol. 2014;14:30.
Article
PubMed
PubMed Central
Google Scholar
Brooks R, De Charro F. EuroQol: The current state of play. Health Policy. 1996;37(1):53–72.
Article
CAS
PubMed
Google Scholar
Williams A. Euroqol - a New Facility for the Measurement of Health-Related Quality-of-Life. Health Policy. 1990;16(3):199–208.
Article
Google Scholar
NICE. Guide to the methods of technology appraisal. London: National Institute for Health and Clinical Excellence, Institute’s Decision Support Unit; 2013.
Google Scholar
Kind P, Hardman G, Macran S. UK Population Norms for EQ-5D. In: Centre for Health Economics. 1999.
Google Scholar
Gray A, Rivero-Arias O, Clarke P. Estimating the association between SF-12 responses and EQ-5D utility values by response mapping. Med Decis Mak. 2006;26(1):18–29.
Article
Google Scholar
Rowen D, Brazier J, Roberts J. Mapping SF-36 onto the EQ-5D index: how reliable is the relationship? Health and Quality of Life Outcomes. 2009;7(1):1–9.
Maund E, Craig D, Suekarran S, Neilson A, Wright K, Brealey S, Dennis L, Goodchild L, Hanchard N, Rangan A, et al. Management of frozen shoulder: a systematic review and cost-effectiveness analysis. Health Technol Assess. 2012;16(11):i-xvi+1-243.
Article
Google Scholar
Barton G, Sach T, Jenkinson C, Avery A, Doherty M, Muir K. Do estimates of cost-utility based on the EQ-5D differ from those based on the mapping of utility scores? Health Qual Life Outcomes. 2008;6:51.
Article
PubMed
PubMed Central
Google Scholar
Khan K. Mapping outcomes data to estimate health state utilities:An analysis of individual patient level data from 15 acupuncture trials. Department of Economics and Related Studies. UK: University of York, 2011.
Chan KK, Willan AR, Gupta M, Pullenayegum E. Underestimation of uncertainties in health utilities derived from mapping algorithms involving health-related quality-of-life measures: statistical explanations and potential remedies. Med Decis Making. 2014;34(7):863–72.
Trowman R, Dumville JC, Torgerson DJ, Cranny G. The impact of trial baseline imbalances should be considered in systematic reviews: a methodological case study. J Clin Epidemiol. 2007;60(12):1229–33.
Article
PubMed
Google Scholar
Aiello F, Attanasio M, Tine F. Assessing covariate imbalance in meta-analysis studies. Stat Med. 2011;30(22):2671–82.
Article
PubMed
Google Scholar
Lu GB, Ades AE. Assessing evidence inconsistency in mixed treatment comparisons. J Am Stat Assoc. 2006;101(474):447–59.
Article
CAS
Google Scholar
Higgins J, Whitehead A, Turner R, Omar R, Thompson S. Meta-analysis of continuous outcome data from individual patients. Stat Med. 2001;20(15):2219–41.
Article
CAS
PubMed
Google Scholar
Senn S. Change from baseline and analysis of covariance revisited. Stat Med. 2006;25(24):4334–44.
Article
PubMed
Google Scholar
Van Breukelen GJ. ANCOVA versus change from baseline: more power in randomized studies, more bias in nonrandomized studies [corrected]. J Clin Epidemiol. 2006;59(9):920–5.
Article
PubMed
Google Scholar
Cooper N, Sutton A, Morris D, Ades A, Welton N. Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: Application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation. Stat Med. 2009;28(14):1861–81.
Article
PubMed
Google Scholar
Turner RM, Spiegelhalter DJ, Smith GC, Thompson SG. Bias modelling in evidence synthesis. J R Stat Soc Ser A Stat Soc. 2009;172(1):21–47.
Article
PubMed
PubMed Central
Google Scholar
Spiegelhalter DJ, Best NG, Carlin BR, van der Linde A. Bayesian measures of model complexity and fit. J Roy Stat Soc B. 2002;64:583–616.
Article
Google Scholar
Welton NJ, Sutton AJ, Cooper NJ, Abrams KR, Ades AE. Evidence synthesis for decision making in healthcare. First Edition, 2012. John Wiley & Sons, Ltd.
Team RC. In: Computing RFfS, editor. R: a language and environment for statistical computing. Austria; 2014.
Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput. 2000;10(4):325–37.
Article
Google Scholar
Sturtz S, Ligges U, Gelman A. R2WinBUGS: a package for running WinBUGS from R. J Stat Softw. 2005;12(3):1–16.
Article
Google Scholar
Plummer M, Nicky B, Cowles K, Vines K. CODA: convergence diagnosis and output analysis for MCMC. R News. 2006;6(1):7.
Google Scholar
Gelman A, Rubin DB. Inference from iterative simulation using multiple sequences. Stat Sci. 1992;7(4):457–72.
Article
Google Scholar
Brooks SP, Gelman A. General methods for monitoring convergence of iterative simulations. J Comput Graph Stat. 1998;7(4):434–55.
Google Scholar
Donegan S, Williamson P, D’Alessandro U, Garner P, Smith CT. Combining individual patient data and aggregate data in mixed treatment comparison meta-analysis: Individual patient data may be beneficial if only for a subset of trials. Stat Med. 2013;32(6):914–30.
Article
PubMed
Google Scholar
Cherkin D, Eisenberg D, Sherman K, Barlow W, Kaptchuk T, Street J, Deyo R. Randomized trial comparing traditional Chinese medical acupuncture, therapeutic massage, and self-care education for chronic low back pain. Arch Intern Med. 2001;161(8):1081–8.
Article
CAS
PubMed
Google Scholar
Vickers AJ, Rees RW, Zollman CE, McCarney R, Smith CM, Ellis N, Fisher P, Van Haselen R. Acupuncture for chronic headache in primary care: large, pragmatic, randomised trial. BMJ. 2004;328(7442):744.
Article
PubMed
PubMed Central
Google Scholar
Thomas K, MacPherson H, Thorpe L, Brazier J, Fitter M, Campbell M, Roman M, Walters S, Nicholl J. Randomised controlled trial of a short course of traditional acupuncture compared with usual care for persistent non-specific low back pain. Brit Med J. 2006;333(7569):623–6.
Article
CAS
PubMed
PubMed Central
Google Scholar
Mavridis D, White I, Higgins J, Cipriani A, Salanti G. Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta-analysis. Stat Med. 2014;34(5):721–41.
Article
PubMed
Google Scholar
Bujkiewicz S, Thompson J, Sutton A, Cooper N, Harrison M, Symmons D, Abrams K. Multivariate meta-analysis of mixed outcomes: a Bayesian approach. Stat Med. 2013;32(22):3926–43.
Article
PubMed
PubMed Central
Google Scholar
Bujkiewicz S, Thompson JR, Sutton AJ, Cooper NJ, Harrison MJ, Symmons DP, Abrams KR. Use of Bayesian multivariate meta-analysis to estimate the HAQ for mapping onto the EQ-5D questionnaire in rheumatoid arthritis. Value Health. 2014;17(1):109–15.
Article
PubMed
PubMed Central
Google Scholar
Achana FA, Cooper NJ, Bujkiewicz S, Hubbard SJ, Kendrick D, Jones DR, Sutton AJ. Network meta-analysis of multiple outcome measures accounting for borrowing of information across outcomes. BMC Med Res Methodol. 2014;14:92.
Article
PubMed
PubMed Central
Google Scholar
Bujkiewicz S, Thompson JR, Riley RD, Abrams KR. Bayesian meta-analytical methods to incorporate multiple surrogate endpoints in drug development process. Stat Med. 2016;35(7):1063-89.
Jenkins D, Martina R, Bujkiewicz S, Dequen P, Abrams K. Network Meta-Analysis of Biological Response Modifiers in Rheumatoid arthritis Including real World Evidence at Multiple time Points. Value Health. 2015;18(7):A343.
Article
CAS
PubMed
Google Scholar
Tudor Smith C, Dwan K, Altman D, Clarke M, Riley R, Williamson PR. Sharing individual participant data from clinical trials: an opinion survey regarding the establishment of a central repository. Plos One. 2014;9(5):e97886.
Article
Google Scholar