Research Article
Addressing between‐study heterogeneity and inconsistency in mixed treatment comparisons: Application to stroke prevention treatments in individuals with non‐rheumatic atrial fibrillation
Abstract
Mixed treatment comparison models extend meta‐analysis methods to enable comparisons to be made between all relevant comparators in the clinical area of interest. In such modelling it is imperative that potential sources of variability are explored to explain both heterogeneity (variation in treatment effects between trials within pairwise contrasts) and inconsistency (variation in treatment effects between pairwise contrasts) to ensure the validity of the analysis.
The objective of this paper is to extend the mixed treatment comparison framework to allow for the incorporation of study‐level covariates in an attempt to explain between‐study heterogeneity and reduce inconsistency. Three possible model specifications assuming different assumptions are described and applied to a 17‐treatment network for stroke prevention treatments in individuals with non‐rheumatic atrial fibrillation.
The paper demonstrates the feasibility of incorporating covariates within a mixed treatment comparison framework and using model fit statistics to choose between alternative model specifications. Although such an approach may adjust for inconsistencies in networks, as for standard meta‐regression, the analysis will suffer from low power if the number of trials is small compared with the number of treatment comparators. Copyright © 2009 John Wiley & Sons, Ltd.
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Number of times cited according to CrossRef: 150
- Svenja E. Seide, Katrin Jensen, Meinhard Kieser, A comparison of Bayesian and frequentist methods in random‐effects network meta‐analysis of binary data, Research Synthesis Methods, 10.1002/jrsm.1397, 11, 3, (363-378), (2020).
- Jeroen P. Jansen, Heterogeneity and Subgroup Analysis in Network Meta-Analysis, Design and Analysis of Subgroups with Biopharmaceutical Applications, 10.1007/978-3-030-40105-4_18, (369-385), (2020).
- Michael Kossmeier, Ulrich S. Tran, Martin Voracek, Charting the landscape of graphical displays for meta-analysis and systematic reviews: a comprehensive review, taxonomy, and feature analysis, BMC Medical Research Methodology, 10.1186/s12874-020-0911-9, 20, 1, (2020).
- Shang‐Jie Tsai, Yu‐Wei Ding, Ming‐Chieh Shih, Yu‐Kang Tu, Systematic review and sequential network meta‐analysis on the efficacy of periodontal regenerative therapies, Journal of Clinical Periodontology, 10.1111/jcpe.13338, 47, 9, (1108-1120), (2020).
- Luis Guillermo Gómez-Escobar, Hansel Mora-Ochoa, Andrea Vargas Villanueva, Loukia Spineli, Gloria Sanclemente, Rachel Couban, Elizabeth García, Edgardo Chapman, Juan José Yepes-Nuñez, Effectiveness and adverse events of topical and allergen immunotherapy for atopic dermatitis: a systematic review and network meta-analysis protocol, Systematic Reviews, 10.1186/s13643-020-01472-w, 9, 1, (2020).
- Imtiaz A. Samjoo, Elizabeth M. Salvo, Diana Tran, Leslie Amass, Michelle Stewart, Chris Cameron, The impact of clinical heterogeneity on conducting network meta-analyses in transthyretin amyloidosis with polyneuropathy, Current Medical Research and Opinion, 10.1080/03007995.2020.1725742, (1-1), (2020).
- Anke de Haan, Markus A. Landolt, Eiko I. Fried, Kristian Kleinke, Eva Alisic, Richard Bryant, Karen Salmon, Sue‐Huei Chen, Shu‐Tsen Liu, Tim Dalgleish, Anna McKinnon, Alice Alberici, Jade Claxton, Julia Diehle, Ramón Lindauer, Carlijn de Roos, Sarah L. Halligan, Rachel Hiller, Christian H. Kristensen, Beatriz O.M. Lobo, Nicole M. Volkmann, Meghan Marsac, Lamia Barakat, Nancy Kassam‐Adams, Reginald D.V. Nixon, Susan Hogan, Raija‐Leena Punamäki, Esa Palosaari, Elizabeth Schilpzand, Rowena Conroy, Patrick Smith, William Yule, Richard Meiser‐Stedman, Dysfunctional posttraumatic cognitions, posttraumatic stress and depression in children and adolescents exposed to trauma: a network analysis, Journal of Child Psychology and Psychiatry, 10.1111/jcpp.13101, 61, 1, (77-87), (2019).
- Si‐Mook Kang, Elbert Josselin de Jong, Susan M. Higham, Christopher K. Hope, Baek‐Il Kim, Fluorescence fingerprints of oral bacteria, Journal of Biophotonics, 10.1002/jbio.201900190, 13, 1, (2019).
- Xiao‐Song Zhao, Te‐Hung Chen, Kun Zhang, Mao‐Jiun J. Wang, Applying an improved failure mode effect analysis method to evaluate the safety of a three‐in‐one machine tool, Human Factors and Ergonomics in Manufacturing & Service Industries, 10.1002/hfm.20823, 30, 1, (71-82), (2019).
- Roel C. A. Achterbergh, Henry J. C. Vries, Anders Boyd, Udi Davidovich, Susanne Drückler, Elske Hoornenborg, Maria Prins, Amy Matser, Identification and characterization of latent classes based on drug use among men who have sex with men at risk of sexually transmitted infections in Amsterdam, the Netherlands, Addiction, 10.1111/add.14774, 115, 1, (121-133), (2019).
- Wolfgang Landgraf, David R. Owens, Brian M. Frier, Mei Zhang, Geremia B. Bolli, Fasting C‐peptide, a biomarker for hypoglycaemia risk in insulin‐naïve people with type 2 diabetes initiating basal insulin glargine 100 U/mL, Diabetes, Obesity and Metabolism, 10.1111/dom.13897, 22, 3, (315-323), (2019).
- Georgia Salanti, Deborah Caldwell, Anna Chaimani, Julian Higgins, Network Meta-analysis, Health Services Evaluation, 10.1007/978-1-4939-8715-3_36, (577-615), (2019).
- Rhiannon K. Owen, Naomi Bradbury, Yiqiao Xin, Nicola Cooper, Alex Sutton, MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta, Research Synthesis Methods, 10.1002/jrsm.1373, 10, 4, (569-581), (2019).
- Jesse A. Berlin, Brenda J. Crowe, H. Amy Xia, Stephen J.W. Evans, The Use of Metaanalysis in Pharmacoepidemiology, Pharmacoepidemiology, 10.1002/9781119413431, (897-947), (2019).
- Suzanne C. Freeman, David Fisher, Ian R. White, Anne Auperin, James R. Carpenter, Identifying inconsistency in network meta‐analysis: Is the net heat plot a reliable method?, Statistics in Medicine, 10.1002/sim.8383, 38, 29, (5547-5564), (2019).
- Abdul Ben‐Hasan, Carl Walters, Villy Christensen, Brett Poorten, Sarah Rajab, Mohsen Al‐Husaini, Hussein Al‐Foudari, Predicting changes in mean length with an age‐structured stock assessment model, Natural Resource Modeling, 10.1111/nrm.12218, 32, 4, (2019).
- Ioannis Baraklianos, Louafi Bouzouina, Patrick Bonnel, Ouassim Manout, Do new and relocating firms have different preferences for accessibility?, Papers in Regional Science, 10.1111/pirs.12458, 98, 6, (2315-2341), (2019).
- Mohd Anul Haq, Abhijit Ghosh, Gazi Rahaman, Prashant Baral, Artificial neural network‐based modeling of snow properties using field data and hyperspectral imagery, Natural Resource Modeling, 10.1111/nrm.12229, 32, 4, (2019).
- Tomaso Pompili, Maurizio Pisati, Eleonora Lorenzini, Determinants of international tourist choices in Italian provinces: A joint demand–supply approach with spatial effects, Papers in Regional Science, 10.1111/pirs.12467, 98, 6, (2251-2273), (2019).
- Jingyuan Liu, Jason C. Legg, May Mo, Xuwen Zhang, Considerations in testing treatment effects on transient event driven health status changes measured by patient reported outcomes, Statistics in Medicine, 10.1002/sim.8376, 38, 29, (5497-5511), (2019).
- Jessie K. Edwards, Giorgos Bakoyannis, Constantin T. Yiannoutsos, Margaret W. Mburu, Stephen R. Cole, Nonparametric estimation of the cumulative incidence function under outcome misclassification using external validation data, Statistics in Medicine, 10.1002/sim.8380, 38, 29, (5512-5527), (2019).
- Minjung Lee, Eric J. Feuer, Zhuoqiao Wang, Hyunsoon Cho, Zhaohui Zou, Benjamin F. Hankey, Angela B. Mariotto, Jason P. Fine, Analyzing discrete competing risks data with partially overlapping or independent data sources and nonstandard sampling schemes, with application to cancer registries, Statistics in Medicine, 10.1002/sim.8381, 38, 29, (5528-5546), (2019).
- Yong Lin, Weichung J. Shih, Shou‐En Lu, Two‐stage enrichment clinical trial design with adjustment for misclassification in predictive biomarkers, Statistics in Medicine, 10.1002/sim.8370, 38, 29, (5445-5469), (2019).
- Wen Li, Jing Zhao, Xiaoyun Li, Cong Chen, Robert A. Beckman, Multi‐stage enrichment and basket trial designs with population selection, Statistics in Medicine, 10.1002/sim.8371, 38, 29, (5470-5485), (2019).
- Patricia Guyot, Chrysostomos Kalyvas, Carole Mamane, Natalya Danchenko, Botulinum Toxins Type A (Bont-A) in the Management of Lower Limb Spasticity in Children: A Systematic Literature Review and Bayesian Network Meta-analysis, Journal of Child Neurology, 10.1177/0883073819830579, (088307381983057), (2019).
- Adriana Guzmán, Esteban Navarro, Leidy Obando, Jorge Pacheco, Korina Quirós, Leticia Vásquez, Milena Castro, Fernando Ramírez, Efectividad de las intervenciones para revertir el diagnóstico del síndrome metabólico: actualización de un metaanálisis de comparación mixta de tratamientos, Biomédica, 10.7705/biomedica.4684, 39, 4, (647-662), (2019).
- Sofia Dias, Deborah M Caldwell, Network meta-analysis explained, Archives of Disease in Childhood - Fetal and Neonatal Edition, 10.1136/archdischild-2018-315224, 104, 1, (F8-F12), (2018).
- Sarah Donegan, Sofia Dias, Nicky J. Welton, Assessing the consistency assumptions underlying network meta‐regression using aggregate data, Research Synthesis Methods, 10.1002/jrsm.1327, 10, 2, (207-224), (2018).
- Sofia Dias, A. E. Ades, Nicky J. Welton, Jeroen P. Jansen, Alexander J. Sutton, References, Network Meta‐Analysis for Decision Making, 10.1002/9781118951651, (409-445), (2018).
- Burak Kürsad Günhan, Tim Friede, Leonhard Held, A design‐by‐treatment interaction model for network meta‐analysis and meta‐regression with integrated nested Laplace approximations, Research Synthesis Methods, 10.1002/jrsm.1285, 9, 2, (179-194), (2018).
- Sarah Donegan, Sofia Dias, Catrin Tudur‐Smith, Valeria Marinho, Nicky J. Welton, Graphs of study contributions and covariate distributions for network meta‐regression, Research Synthesis Methods, 10.1002/jrsm.1292, 9, 2, (243-260), (2018).
- S. C. Freeman, D. Fisher, J. F. Tierney, J. R. Carpenter, A framework for identifying treatment‐covariate interactions in individual participant data network meta‐analysis, Research Synthesis Methods, 10.1002/jrsm.1300, 9, 3, (393-407), (2018).
- Hwanhee Hong, Haoda Fu, Bradley P. Carlin, Power and commensurate priors for synthesizing aggregate and individual patient level data in network meta‐analysis, Journal of the Royal Statistical Society: Series C (Applied Statistics), 10.1111/rssc.12275, 67, 4, (1047-1069), (2018).
- J. Harenberg, C. Weiss, S. Marx, S. Zolfaghari, Klinische Studien zu neuen direkten oralen Antikoagulanzien, Phlebologie, 10.12687/phleb2146-3-2013, 42, 03, (139-148), (2018).
- Heather Burnett, Amy Earley, Adriaan A. Voors, Michele Senni, John J.V. McMurray, Celine Deschaseaux, Shannon Cope, Thirty Years of Evidence on the Efficacy of Drug Treatments for Chronic Heart Failure With Reduced Ejection Fraction, Circulation: Heart Failure, 10.1161/CIRCHEARTFAILURE.116.003529, 10, 1, (2017).
- Georgia Salanti, Deborah Caldwell, Anna Chaimani, Julian Higgins, Network Meta-analysis, Methods in Health Services Research, 10.1007/978-1-4939-6704-9_13-1, (1-38), (2017).
- Hong Zhao, James S. Hodges, Bradley P. Carlin, Diagnostics for generalized linear hierarchical models in network meta‐analysis, Research Synthesis Methods, 10.1002/jrsm.1246, 8, 3, (333-342), (2017).
- Sarah Donegan, Nicky J. Welton, Catrin Tudur Smith, Umberto D'Alessandro, Sofia Dias, Network meta‐analysis including treatment by covariate interactions: Consistency can vary across covariate values, Research Synthesis Methods, 10.1002/jrsm.1257, 8, 4, (485-495), (2017).
- Orestis Efthimiou, Dimitris Mavridis, Thomas P. A. Debray, Myrto Samara, Mark Belger, George C. M. Siontis, Stefan Leucht, Georgia Salanti, Combining randomized and non‐randomized evidence in network meta‐analysis, Statistics in Medicine, 10.1002/sim.7223, 36, 8, (1210-1226), (2017).
- Sarah Batson, Robert Score, Alex J. Sutton, Three-dimensional evidence network plot system: covariate imbalances and effects in network meta-analysis explored using a new software tool, Journal of Clinical Epidemiology, 10.1016/j.jclinepi.2017.03.008, 86, (182-195), (2017).
- Anna Chaimani, Deborah M. Caldwell, Tianjing Li, Julian P.T. Higgins, Georgia Salanti, Additional considerations are required when preparing a protocol for a systematic review with multiple interventions, Journal of Clinical Epidemiology, 10.1016/j.jclinepi.2016.11.015, 83, (65-74), (2017).
- Sarah R. Haile, Beniamino Guerra, Joan B. Soriano, Milo A. Puhan, Multiple Score Comparison: a network meta-analysis approach to comparison and external validation of prognostic scores, BMC Medical Research Methodology, 10.1186/s12874-017-0433-2, 17, 1, (2017).
- Anna Chaimani, Georgia Salanti, Stefan Leucht, John R Geddes, Andrea Cipriani, Common pitfalls and mistakes in the set-up, analysis and interpretation of results in network meta-analysis: what clinicians should look for in a published article, Evidence Based Mental Health, 10.1136/eb-2017-102753, 20, 3, (88-94), (2017).
- Katerina Papadimitropoulou, Carla Vossen, Andreas Karabis, Christina Donatti, Nicole Kubitz, Comparative efficacy and tolerability of pharmacological and somatic interventions in adult patients with treatment-resistant depression: a systematic review and network meta-analysis, Current Medical Research and Opinion, 10.1080/03007995.2016.1277201, 33, 4, (701-711), (2017).
- J. Harenberg, C. Weiss, Clinical trials with new oral anticoagulants, Hämostaseologie, 10.5482/HAMO-12-11-0021, 33, 01, (62-70), (2017).
- Chao Zhang, Joey S. W. Kwong, Rui-Xia Yuan, Hao Chen, Chang Xu, Yi-Pin Wang, Gong-Li Yang, Jin-Zhu Yan, Le Peng, Xian-Tao Zeng, Hong Weng, Jie Luo, Yu-Ming Niu, Effectiveness and Tolerability of Different Recommended Doses of PPIs and H2RAs in GERD: Network Meta-Analysis and GRADE system, Scientific Reports, 10.1038/srep41021, 7, (41021), (2017).
- Hugh MacPherson, Andrew Vickers, Martin Bland, David Torgerson, Mark Corbett, Eldon Spackman, Pedro Saramago, Beth Woods, Helen Weatherly, Mark Sculpher, Andrea Manca, Stewart Richmond, Ann Hopton, Janet Eldred, Ian Watt, Acupuncture for chronic pain and depression in primary care: a programme of research, Programme Grants for Applied Research, 10.3310/pgfar05030, 5, 3, (1-316), (2017).
- Denise Kendrick, Joanne Ablewhite, Felix Achana, Penny Benford, Rose Clacy, Frank Coffey, Nicola Cooper, Carol Coupland, Toity Deave, Trudy Goodenough, Adrian Hawkins, Mike Hayes, Paul Hindmarch, Stephanie Hubbard, Bryony Kay, Arun Kumar, Gosia Majsak-Newman, Elaine McColl, Lisa McDaid, Phil Miller, Caroline Mulvaney, Isabel Peel, Emma Pitchforth, Richard Reading, Pedro Saramago, Jane Stewart, Alex Sutton, Clare Timblin, Elizabeth Towner, Michael C Watson, Persephone Wynn, Ben Young, Kun Zou, Keeping Children Safe: a multicentre programme of research to increase the evidence base for preventing unintentional injuries in the home in the under-fives, Programme Grants for Applied Research, 10.3310/pgfar05140, 5, 14, (1-834), (2017).
- Ana Duarte, Teumzghi Mebrahtu, Pedro Saramago Goncalves, Melissa Harden, Ruth Murphy, Stephen Palmer, Nerys Woolacott, Mark Rodgers, Claire Rothery, Adalimumab, etanercept and ustekinumab for treating plaque psoriasis in children and young people: systematic review and economic evaluation, Health Technology Assessment, 10.3310/hta21640, 21, 64, (1-244), (2017).
- Jasvinder A. Singh, Alomgir Hossain, Ahmed Kotb, Ana Oliveira, Amy S. Mudano, Jennifer Grossman, Kevin Winthrop, George A. Wells, Treatments for Lupus Nephritis: A Systematic Review and Network Metaanalysis, The Journal of Rheumatology, 10.3899/jrheum.160041, 43, 10, (1801-1815), (2016).
- Orestis Efthimiou, Thomas P. A. Debray, Gert Valkenhoef, Sven Trelle, Klea Panayidou, Karel G. M. Moons, Johannes B. Reitsma, Aijing Shang, Georgia Salanti, GetReal in network meta‐analysis: a review of the methodology, Research Synthesis Methods, 10.1002/jrsm.1195, 7, 3, (236-263), (2016).
- Long Ge, Jin-hui Tian, Xiu-xia Li, Fujian Song, Lun Li, Jun Zhang, Ge Li, Gai-qin Pei, Xia Qiu, Ke-hu Yang, Epidemiology Characteristics, Methodological Assessment and Reporting of Statistical Analysis of Network Meta-Analyses in the Field of Cancer, Scientific Reports, 10.1038/srep37208, 6, 1, (2016).
- Pedro Saramago, Beth Woods, Helen Weatherly, Andrea Manca, Mark Sculpher, Kamran Khan, Andrew J. Vickers, Hugh MacPherson, Methods for network meta-analysis of continuous outcomes using individual patient data: a case study in acupuncture for chronic pain, BMC Medical Research Methodology, 10.1186/s12874-016-0224-1, 16, 1, (2016).
- Jasvinder A. Singh, Alomgir Hossain, Ahmed Kotb, George A. Wells, Comparative effectiveness of immunosuppressive drugs and corticosteroids for lupus nephritis: a systematic review and network meta-analysis, Systematic Reviews, 10.1186/s13643-016-0328-z, 5, 1, (2016).
- Jasvinder A. Singh, Alomgir Hossain, Ahmed Kotb, George Wells, Risk of serious infections with immunosuppressive drugs and glucocorticoids for lupus nephritis: a systematic review and network meta-analysis, BMC Medicine, 10.1186/s12916-016-0673-8, 14, 1, (2016).
- Jian Liu, Meida Fan, Jingjing Zhao, Bingcheng Zhao, Chongyu Zhang, Chen Liu, Yugang Dong, Efficacy and safety of antithrombotic regimens after coronary intervention in patients on oral anticoagulation: Traditional and Bayesian meta-analysis of clinical trials, International Journal of Cardiology, 10.1016/j.ijcard.2015.12.005, 205, (89-96), (2016).
- Pei-Jun Li, Jun Xiao, Qing Yang, Yuan Feng, Ting Wang, Guan-Jian Liu, Zong-An Liang, Network meta-analysis of efficacy and safety of competitive oral anticoagulants in patients undergoing radiofrequency catheter ablation of atrial fibrillation, Journal of Interventional Cardiac Electrophysiology, 10.1007/s10840-016-0126-5, 46, 3, (213-224), (2016).
- R.R. Bannuru, M. Osani, E.E. Vaysbrot, T.E. McAlindon, Comparative safety profile of hyaluronic acid products for knee osteoarthritis: a systematic review and network meta-analysis, Osteoarthritis and Cartilage, 10.1016/j.joca.2016.07.010, 24, 12, (2022-2041), (2016).
- Emer Fogarty, Susanne Schmitz, Niall Tubridy, Cathal Walsh, Michael Barry, Comparative efficacy of disease-modifying therapies for patients with relapsing remitting multiple sclerosis: Systematic review and network meta-analysis, Multiple Sclerosis and Related Disorders, 10.1016/j.msard.2016.06.001, 9, (23-30), (2016).
- Maria-Cecilia Vieira, Samuel H. Zwillich, Jeroen P. Jansen, Brielan Smiechowski, Dean Spurden, Gene V. Wallenstein, Tofacitinib Versus Biologic Treatments in Patients With Active Rheumatoid Arthritis Who Have Had an Inadequate Response to Tumor Necrosis Factor Inhibitors: Results From a Network Meta-analysis, Clinical Therapeutics, 10.1016/j.clinthera.2016.11.004, 38, 12, (2628-2641.e5), (2016).
- Pei-Jun Li, Ting Wang, Jun Xiao, Fa-Ming Jiang, Jian Luo, Chao-Li Shi, Guan-Jian Liu, Zong-An Liang, Efficacy of two noninvasive weaning strategies in intubated patients with chronic obstructive pulmonary disease: A meta-analysis and indirect treatment comparison, Heart & Lung, 10.1016/j.hrtlng.2015.12.008, 45, 2, (132-139), (2016).
- Carolyn Hopkins, Matthew Sydes, Gordon Murray, Kerry Woolfall, Mike Clarke, Paula Williamson, Catrin Tudur Smith, UK publicly funded Clinical Trials Units supported a controlled access approach to share individual participant data but highlighted concerns, Journal of Clinical Epidemiology, 10.1016/j.jclinepi.2015.07.002, 70, (17-25), (2016).
- Teresa Greco, Giovanni Landoni, Giuseppe Biondi-Zoccai, Fabrizio D'Ascenzo, Alberto Zangrillo, A Bayesian network meta-analysis for binary outcome: how to do it, Statistical Methods in Medical Research, 10.1177/0962280213500185, 25, 5, (1757-1773), (2016).
- Thomas PA Debray, Ewoud Schuit, Orestis Efthimiou, Johannes B Reitsma, John PA Ioannidis, Georgia Salanti, Karel GM Moons, An overview of methods for network meta-analysis using individual participant data: when do benefits arise?, Statistical Methods in Medical Research, 10.1177/0962280216660741, (096228021666074), (2016).
- Nicholas Graves, Catherine Wloch, Jennie Wilson, Adrian Barnett, Alex Sutton, Nicola Cooper, Katharina Merollini, Victoria McCreanor, Qinglu Cheng, Edward Burn, Theresa Lamagni, Andre Charlett, A cost-effectiveness modelling study of strategies to reduce risk of infection following primary hip replacement based on a systematic review, Health Technology Assessment, 10.3310/hta20540, 20, 54, (1-144), (2016).
- Bing-Cheng Zhao, Hong-Ye Jiang, Wei-Ying Ma, Da-Di Jin, Hao-Miao Li, Hai Lu, Hideaki Nakajima, Tong-Yi Huang, Kai-Yu Sun, Shu-Ling Chen, Ke-Bing Chen, Albendazole and Corticosteroids for the Treatment of Solitary Cysticercus Granuloma: A Network Meta-analysis, PLOS Neglected Tropical Diseases, 10.1371/journal.pntd.0004418, 10, 2, (e0004418), (2016).
- Stefanie Reken, Sibylle Sturtz, Corinna Kiefer, Yvonne-Beatrice Böhler, Beate Wieseler, Assumptions of Mixed Treatment Comparisons in Health Technology Assessments - Challenges and Possible Steps for Practical Application, PLOS ONE, 10.1371/journal.pone.0160712, 11, 8, (e0160712), (2016).
- Hwanhee Hong, Haitao Chu, Jing Zhang, Bradley P. Carlin, A Bayesian missing data framework for generalized multiple outcome mixed treatment comparisons, Research Synthesis Methods, 10.1002/jrsm.1153, 7, 1, (6-22), (2015).
- Neil Hawkins, David A. Scott, Beth Woods, ‘Arm‐based’ parameterization for network meta‐analysis, Research Synthesis Methods, 10.1002/jrsm.1187, 7, 3, (306-313), (2015).
- Suzy Van Sanden, Marta Pisini, Inge Duchesne, Angelika Mehnert, Jonathan Belsey, Indirect comparison of the antiviral efficacy of peginterferon alpha 2a plus ribavirin used with or without simeprevir in genotype 4 hepatitis C virus infection, where common comparator study arms are lacking: a special application of the matching adjusted indirect comparison methodology, Current Medical Research and Opinion, 10.1185/03007995.2015.1106934, 32, 1, (147-154), (2015).
- Gui-Qi Zhu, Sha Huang, Gui-Qian Huang, Li-Ren Wang, Yi-Qian Lin, Yi-Ming Wu, Ke-Qing Shi, Jiang-Tao Wang, Zhi-Rui Zhou, Martin Braddock, Yong-Ping Chen, Meng-Tao Zhou, Ming-Hua Zheng, Optimal drug regimens for primary biliary cirrhosis: a systematic review and network meta-analysis, Oncotarget, 10.18632/oncotarget.4528, 6, 27, (24533-24549), (2015).
- Hwanhee Hong, Haoda Fu, Karen L. Price, Bradley P. Carlin, Incorporation of individual‐patient data in network meta‐analysis for multiple continuous endpoints, with application to diabetes treatment, Statistics in Medicine, 10.1002/sim.6519, 34, 20, (2794-2819), (2015).
- J. P. Jansen, M. C. Vieira, S. Cope, Network meta‐analysis of longitudinal data using fractional polynomials, Statistics in Medicine, 10.1002/sim.6492, 34, 15, (2294-2311), (2015).
- Joris Menten, Emmanuel Lesaffre, A general framework for comparative Bayesian meta-analysis of diagnostic studies, BMC Medical Research Methodology, 10.1186/s12874-015-0061-7, 15, 1, (2015).
- Shannon Cope, Andreas Clemens, Florence Hammès, Herbert Noack, Jeroen P. Jansen, Critical Appraisal of Network Meta-Analyses Evaluating the Efficacy and Safety of New Oral Anticoagulants in Atrial Fibrillation Stroke Prevention Trials, Value in Health, 10.1016/j.jval.2014.10.012, 18, 2, (234-249), (2015).
- Dimitris Mavridis, Myrsini Giannatsi, Andrea Cipriani, Georgia Salanti, A primer on network meta-analysis with emphasis on mental health, Evidence Based Mental Health, 10.1136/eb-2015-102088, 18, 2, (40-46), (2015).
- Huseyin Naci, John P A Ioannidis, Comparative effectiveness of exercise and drug interventions on mortality outcomes: metaepidemiological study, British Journal of Sports Medicine, 10.1136/bjsports-2015-f5577rep, 49, 21, (1414-1422), (2015).
- Nicky J. Welton, Marta O. Soares, Stephen Palmer, Anthony E. Ades, David Harrison, Manu Shankar-Hari, Kathy M. Rowan, Accounting for Heterogeneity in Relative Treatment Effects for Use in Cost-Effectiveness Models and Value-of-Information Analyses, Medical Decision Making, 10.1177/0272989X15570113, 35, 5, (608-621), (2015).
- Gui-Qi Zhu, Ke-Qing Shi, Sha Huang, Gui-Qian Huang, Yi-Qian Lin, Zhi-Rui Zhou, Martin Braddock, Yong-Ping Chen, Ming-Hua Zheng, Network Meta-Analysis of Randomized Controlled Trials, Medicine, 10.1097/MD.0000000000000609, 94, 11, (e609), (2015).
- Ros Wade, Eleftherios Sideris, Fiona Paton, Stephen Rice, Stephen Palmer, Dave Fox, Nerys Woolacott, Eldon Spackman, Graduated compression stockings for the prevention of deep-vein thrombosis in postoperative surgical patients: a systematic review and economic model with a value of information analysis, Health Technology Assessment, 10.3310/hta19980, 19, 98, (1-220), (2015).
- Jessica E. Potts, Laura J. Gray, Emer M. Brady, Kamlesh Khunti, Melanie J. Davies, Danielle H. Bodicoat, The Effect of Glucagon-Like Peptide 1 Receptor Agonists on Weight Loss in Type 2 Diabetes: A Systematic Review and Mixed Treatment Comparison Meta-Analysis, PLOS ONE, 10.1371/journal.pone.0126769, 10, 6, (e0126769), (2015).
- James D. Chambers, Huseyin Naci, Olivier J. Wouters, Junhee Pyo, Shalak Gunjal, Ian R. Kennedy, Mark G. Hoey, Aaron Winn, Peter J. Neumann, An Assessment of the Methodological Quality of Published Network Meta-Analyses: A Systematic Review, PLOS ONE, 10.1371/journal.pone.0121715, 10, 4, (e0121715), (2015).
- Stephanie Hubbard, Nicola Cooper, Denise Kendrick, Ben Young, Persephone M Wynn, Zhimin He, Philip Miller, Felix Achana, Alex Sutton, Network meta-analysis to evaluate the effectiveness of interventions to prevent falls in children under age 5 years, Injury Prevention, 10.1136/injuryprev-2013-041135, 21, 2, (98-108), (2014).
- Maria Blettner, Ulrike Krahn, Peter Schlattmann, Meta-Analysis in Epidemiology, Handbook of Epidemiology, 10.1007/978-0-387-09834-0, (1377-1411), (2014).
- Dimitris Mavridis, Nicky J. Welton, Alex Sutton, Georgia Salanti, A selection model for accounting for publication bias in a full network meta‐analysis, Statistics in Medicine, 10.1002/sim.6321, 33, 30, (5399-5412), (2014).
- Fiona C. Warren, Keith R. Abrams, Alex J. Sutton, Hierarchical network meta‐analysis models to address sparsity of events and differing treatment classifications with regard to adverse outcomes, Statistics in Medicine, 10.1002/sim.6131, 33, 14, (2449-2466), (2014).
- Pedro Saramago, Ling-Hsiang Chuang, Marta O Soares, Network meta-analysis of (individual patient) time to event data alongside (aggregate) count data, BMC Medical Research Methodology, 10.1186/1471-2288-14-105, 14, 1, (2014).
- Xavier Calvet, Juan Vicente Esplugues, ¿Cómo comparar fármacos biológicos?, Reumatología Clínica, 10.1016/j.reuma.2014.06.001, 10, 6, (353-359), (2014).
- Xavier Calvet, Juan Vicente Esplugues, How to Compare Biologic Drugs, Reumatología Clínica (English Edition), 10.1016/j.reumae.2014.07.001, 10, 6, (353-359), (2014).
- Shannon Cope, Jie Zhang, Stephen Saletan, Brielan Smiechowski, Jeroen P Jansen, Peter Schmid, A process for assessing the feasibility of a network meta-analysis: a case study of everolimus in combination with hormonal therapy versus chemotherapy for advanced breast cancer, BMC Medicine, 10.1186/1741-7015-12-93, 12, 1, (2014).
- Andrew W. Lee, Review of mixed treatment comparisons in published systematic reviews shows marked increase since 2009, Journal of Clinical Epidemiology, 10.1016/j.jclinepi.2013.07.014, 67, 2, (138-143), (2014).
- Jeroen P. Jansen, Thomas Trikalinos, Joseph C. Cappelleri, Jessica Daw, Sherry Andes, Randa Eldessouki, Georgia Salanti, Indirect Treatment Comparison/Network Meta-Analysis Study Questionnaire to Assess Relevance and Credibility to Inform Health Care Decision Making: An ISPOR-AMCP-NPC Good Practice Task Force Report, Value in Health, 10.1016/j.jval.2014.01.004, 17, 2, (157-173), (2014).
- Nikolaos Pandis, Padhraig S. Fleming, Loukia M. Spineli, Georgia Salanti, Initial orthodontic alignment effectiveness with self-ligating and conventional appliances: A network meta-analysis in practice, American Journal of Orthodontics and Dentofacial Orthopedics, 10.1016/j.ajodo.2013.12.016, 145, 4, (S152-S163), (2014).
- Julie Myers, Ronald C Wielage, Baoguang Han, Karen Price, James Gahn, Marie-Ange Paget, Michael Happich, The efficacy of duloxetine, non-steroidal anti-inflammatory drugs, and opioids in osteoarthritis: a systematic literature review and meta-analysis, BMC Musculoskeletal Disorders, 10.1186/1471-2474-15-76, 15, 1, (2014).
- Dongfeng Ma, Zhijun Zhang, Xiangrong Zhang, Lingjiang Li, Comparative efficacy, acceptability, and safety of medicinal, cognitive-behavioral therapy, and placebo treatments for acute major depressive disorder in children and adolescents: a multiple-treatments meta-analysis, Current Medical Research and Opinion, 10.1185/03007995.2013.860020, 30, 6, (971-995), (2014).
- Rebecca L Ashby, Rhian Gabe, Shehzad Ali, Pedro Saramago, Ling-Hsiang Chuang, Una Adderley, J Martin Bland, Nicky A Cullum, Jo C Dumville, Cynthia P Iglesias, Arthur R Kang’ombe, Marta O Soares, Nikki C Stubbs, David J Torgerson, VenUS IV (Venous leg Ulcer Study IV) – compression hosiery compared with compression bandaging in the treatment of venous leg ulcers: a randomised controlled trial, mixed-treatment comparison and decision-analytic model, Health Technology Assessment, 10.3310/hta18570, 18, 57, (1-294), (2014).
- Petros Pechlivanoglou, Hoa H. Le, Simon Daenen, John A. Snowden, Maarten J. Postma, Mixed treatment comparison of prophylaxis against invasive fungal infections in neutropenic patients receiving therapy for haematological malignancies: a systematic review, Journal of Antimicrobial Chemotherapy, 10.1093/jac/dkt329, 69, 1, (1-11), (2013).
- Christopher H. Schmid, Thomas A. Trikalinos, Ingram Olkin, Bayesian network meta‐analysis for unordered categorical outcomes with incomplete data, Research Synthesis Methods, 10.1002/jrsm.1103, 5, 2, (162-185), (2013).
- Sarah Donegan, Paula Williamson, Umberto D'Alessandro, Catrin Tudur Smith, Assessing key assumptions of network meta‐analysis: a review of methods, Research Synthesis Methods, 10.1002/jrsm.1085, 4, 4, (291-323), (2013).
- Huseyin Naci, Jasper Brugts, Tony Ades, Comparative Tolerability and Harms of Individual Statins, Circulation: Cardiovascular Quality and Outcomes, 10.1161/CIRCOUTCOMES.111.000071, 6, 4, (390-399), (2013).
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