T. Lumley, Network meta-analysis for indirect treatment comparisons, Statistics in Medicine, vol.29, issue.16, pp.2313-2324, 2002.
DOI : 10.1002/sim.1201

G. Lu and A. Ades, Combination of direct and indirect evidence in mixed treatment comparisons, Statistics in Medicine, vol.48, issue.20, pp.3105-3124, 2004.
DOI : 10.1002/sim.1875

G. Salanti, J. Higgins, A. Ades, and J. Ioannidis, Evaluation of networks of randomized trials, Statistical Methods in Medical Research, vol.21, issue.11, pp.279-301, 2008.
DOI : 10.1177/0962280207080643

K. Dwan, D. Altman, J. Arnaiz, J. Bloom, A. Chan et al., Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias, PLoS ONE, vol.8, issue.8, p.3081, 2008.
DOI : 10.1371/journal.pone.0003081.s002

F. Song, S. Parekh, L. Hooper, Y. Loke, J. Ryder et al., Dissemination and publication of research findings: an updated review of related biases, Health Technology Assessment, vol.14, issue.8, p.14193, 2010.
DOI : 10.3310/hta14080

G. Salanti, F. Kavvoura, and J. Ioannidis, Exploring the Geometry of Treatment Networks, Annals of Internal Medicine, vol.148, issue.7, pp.544-553, 2008.
DOI : 10.7326/0003-4819-148-7-200804010-00011

T. Li, M. Puhan, S. Vedula, S. Singh, and K. Dickersin, Network meta-analysis-highly attractive but more methodological research is needed, BMC Medicine, vol.64, issue.2, p.79, 2011.
DOI : 10.1016/j.jclinepi.2010.03.016
URL : http://doi.org/10.1186/1741-7015-9-79

L. Trinquart, A. Abbé, and P. Ravaud, Impact of reporting bias in network metaanalysis of antidepressant placebo-controlled trials, PLoS One, vol.2012, issue.74, p.35219

L. Hedges, Modeling Publication Selection Effects in Meta-Analysis, Statistical Science, vol.7, issue.2, pp.246-255, 1992.
DOI : 10.1214/ss/1177011364

N. Silliman, Hierarchical selection models with applications in metaanalysis, pp.926-936, 1997.

D. Larose and D. Dey, Modeling publication bias using weighted distributions in a Bayesian framework, Computational Statistics & Data Analysis, vol.26, issue.3, pp.279-302, 1998.
DOI : 10.1016/S0167-9473(97)00039-X

J. Copas and J. Shi, Meta-analysis, funnel plots and sensitivity analysis, Biostatistics, vol.1, issue.3, pp.247-262, 2000.
DOI : 10.1093/biostatistics/1.3.247

S. Duval and R. Tweedie, Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis, Biometrics, vol.338, issue.2, pp.455-463, 2000.
DOI : 10.1111/j.0006-341X.2000.00455.x

A. Sutton, F. Song, S. Gilbody, and K. Abrams, Modelling publication bias in meta-analysis: a review, Statistical Methods in Medical Research, vol.319, issue.10, pp.421-445, 2000.
DOI : 10.1177/096228020000900503

J. Copas and J. Shi, A sensitivity analysis for publication bias in systematic reviews, Statistical Methods in Medical Research, vol.316, issue.4, pp.251-265, 2001.
DOI : 10.1177/096228020101000402

C. Preston, D. Ashby, and R. Smyth, Adjusting for publication bias: modelling the selection process, Journal of Evaluation in Clinical Practice, vol.19, issue.2, pp.313-322, 2004.
DOI : 10.1111/j.1365-2753.2003.00457.x

J. Bowden, D. Jackson, and S. Thompson, Modelling multiple sources of dissemination bias in meta-analysis, Statistics in Medicine, vol.14, issue.8, pp.945-955, 2010.
DOI : 10.1002/sim.3813

J. Carpenter, G. Rucker, and G. Schwarzer, Assessing the Sensitivity of Meta-analysis to Selection Bias: A Multiple Imputation Approach, Biometrics, vol.3, issue.3, pp.1066-1072, 2011.
DOI : 10.1111/j.1541-0420.2010.01498.x

G. Rucker, J. Carpenter, and G. Schwarzer, Detecting and adjusting for small-study effects in meta-analysis, Biometrical Journal, vol.24, issue.2, pp.351-368, 2011.
DOI : 10.1002/bimj.201000151

K. Rufibach, Selection models with monotone weight functions in meta analysis, Biometrical Journal, vol.27, issue.4, pp.689-704, 2011.
DOI : 10.1002/bimj.201000240

S. Moreno, A. Sutton, A. Ades, T. Stanley, K. Abrams et al., Assessment of regression-based methods to adjust for publication bias through a comprehensive simulation study, BMC Medical Research Methodology, vol.151, issue.3, 2009.
DOI : 10.2307/2982993

S. Moreno, A. Sutton, J. Thompson, A. Ades, K. Abrams et al., A generalized weighting regression-derived meta-analysis estimator robust to small-study effects and heterogeneity, Statistics in Medicine, vol.323, issue.14, 2012.
DOI : 10.1002/sim.4488

E. Turner, A. Matthews, E. Linardatos, R. Tell, and R. Rosenthal, Selective Publication of Antidepressant Trials and Its Influence on Apparent Efficacy, New England Journal of Medicine, vol.358, issue.3, pp.252-260, 2008.
DOI : 10.1056/NEJMsa065779

J. Higgins and A. Whitehead, BORROWING STRENGTH FROM EXTERNAL TRIALS IN A META-ANALYSIS, Statistics in Medicine, vol.15, issue.24, pp.2733-2749, 1996.
DOI : 10.1002/(SICI)1097-0258(19961230)15:24<2733::AID-SIM562>3.0.CO;2-0

G. Lu and A. Ades, Assessing Evidence Inconsistency in Mixed Treatment Comparisons, Journal of the American Statistical Association, vol.101, issue.474, pp.447-459, 2006.
DOI : 10.1198/016214505000001302

G. Lu and A. Ades, Modeling between-trial variance structure in mixed treatment comparisons, Biostatistics, vol.10, issue.4, pp.792-805, 2009.
DOI : 10.1093/biostatistics/kxp032

T. Stanley, Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection, Oxford Bulletin of Economics and Statistics, vol.58, issue.0, pp.103-127, 2008.
DOI : 10.1136/bmj.320.7249.1574

S. Moreno, A. Sutton, E. Turner, K. Abrams, N. Cooper et al., Novel methods to deal with publication biases: secondary analysis of antidepressant trials in the FDA trial registry database and related journal publications, BMJ, vol.339, issue.aug07 1, p.2981, 2009.
DOI : 10.1136/bmj.b2981

G. Rucker, G. Schwarzer, J. Carpenter, H. Binder, and M. Schumacher, Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis, Biostatistics, vol.12, issue.1, pp.122-142, 2011.
DOI : 10.1093/biostatistics/kxq046

F. Song, A. Eastwood, S. Gilbody, L. Duley, and A. Sutton, Publication and Related Biases, Health Technol Assess, vol.4, issue.10, pp.1-115, 2000.
DOI : 10.4135/9781848608344.n21

L. Hedges, [Selection Models and the File Drawer Problem]: Comment, Statistical Science, vol.3, issue.1, pp.118-120, 1988.
DOI : 10.1214/ss/1177013013

E. Bedrick, R. Christensen, and W. Johnson, A New Perspective on Priors for Generalized Linear Models, Journal of the American Statistical Association, vol.45, issue.436, pp.1450-1460, 1996.
DOI : 10.1016/0304-4076(84)90007-1

Y. Wu, W. Shih, and D. Moore, Elicitation of a Beta Prior for Bayesian Inference in Clinical Trials, Biometrical Journal, vol.7, issue.2, pp.212-223, 2008.
DOI : 10.1002/bimj.200710390

G. Salanti, A. Ades, and J. Ioannidis, Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial, Journal of Clinical Epidemiology, vol.64, issue.2, pp.163-171, 2010.
DOI : 10.1016/j.jclinepi.2010.03.016

D. Spiegelhalter, N. Best, and B. Carlin, Bayesian measures of model complexity and fit, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.93, issue.4, pp.583-639, 2002.
DOI : 10.1002/1097-0258(20000915/30)19:17/18<2265::AID-SIM568>3.0.CO;2-6

S. Dias, N. Welton, V. Marinho, G. Salanti, J. Higgins et al., Estimation and adjustment of bias in randomized evidence by using mixed treatment comparison meta-analysis, Journal of the Royal Statistical Society: Series A (Statistics in Society), vol.336, issue.3, pp.613-629, 2010.
DOI : 10.1111/j.1467-985X.2010.00639.x

G. Salanti, S. Dias, N. Welton, A. Ades, V. Golfinopoulos et al., Evaluating novel agent effects in multiple-treatments metaregression, pp.292369-2383, 2010.

S. Dias, N. Welton, and A. Ades, Study designs to detect sponsorship and other biases in systematic reviews, Journal of Clinical Epidemiology, vol.63, issue.6, pp.587-588, 2010.
DOI : 10.1016/j.jclinepi.2010.01.005

S. Moreno, A. Sutton, A. Ades, N. Cooper, and K. Abrams, Adjusting for publication biases across similar interventions performed well when compared with gold standard data, Journal of Clinical Epidemiology, vol.64, issue.11, pp.1230-1241, 2011.
DOI : 10.1016/j.jclinepi.2011.01.009

H. Chootrakool, J. Shi, and R. Yue, Meta-analysis and sensitivity analysis for multi-arm trials with selection bias, Statistics in Medicine, vol.339, issue.6, pp.1183-1198, 2011.
DOI : 10.1002/sim.4143

D. Mavridis, A. Sutton, A. Cipriani, and G. Salanti, A fully Bayesian application of the Copas selection model for publication bias extended to network meta-analysis, Statistics in Medicine, vol.19, issue.1, p.5494, 2012.
DOI : 10.1002/sim.5494

L. Mccandless, P. Gustafson, A. Levy, and S. Richardson, Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding, Statistics in Medicine, vol.167, issue.4, pp.383-396
DOI : 10.1002/sim.4453

A. Gelman, J. Carlin, H. Stern, and D. Rubin, Bayesian Data Analysis, 2004.

K. Rising, P. Bacchetti, and L. Bero, Reporting Bias in Drug Trials Submitted to the Food and Drug Administration: Review of Publication and Presentation, PLoS Medicine, vol.184, issue.11, pp.217-217, 2008.
DOI : 10.1371/journal.pmed.0050217.st001

D. Lathyris, N. Patsopoulos, G. Salanti, and J. Ioannidis, Industry sponsorship and selection of comparators in randomized clinical trials, European Journal of Clinical Investigation, vol.59, issue.2, pp.172-182, 2010.
DOI : 10.1111/j.1365-2362.2009.02240.x

J. Lexchin, L. Bero, B. Djulbegovic, and O. Clark, Pharmaceutical industry sponsorship and research outcome and quality: systematic review, BMJ, vol.326, issue.7400, pp.1167-1170, 2003.
DOI : 10.1136/bmj.326.7400.1167
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC156458

L. Bero, F. Oostvogel, P. Bacchetti, and K. Lee, Factors Associated with Findings of Published Trials of Drug???Drug Comparisons: Why Some Statins Appear More Efficacious than Others, PLoS Medicine, vol.325, issue.6, p.184, 2007.
DOI : 10.1371/journal.pmed.0040184.st003

I. Chalmers and R. Matthews, What are the implications of optimism bias in clinical research? Lancet, pp.449-450, 2006.

G. Rucker, G. Schwarzer, and J. Carpenter, Arcsine test for publication bias in meta-analyses with binary outcomes, Statistics in Medicine, vol.21, issue.5, pp.746-763, 2008.
DOI : 10.1002/sim.2971