Cited by 1,732Meta-analysis and systematic reviewsStatistical Methods in Clinical TrialsDelphi Technique in Research

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Ranking treatments in frequentist network meta-analysis works without resampling methods

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Rücker, Gerta, Schwarzer, Guido·2015·BMC Medical Research Methodology

DOI 10.1186/s12874-015-0060-8PMC PMC4521472

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Abstract

BACKGROUND: Network meta-analysis is used to compare three or more treatments for the same condition. Within a Bayesian framework, for each treatment the probability of being best, or, more general, the probability that it has a certain rank can be derived from the posterior distributions of all treatments. The treatments can then be ranked by the surface under the cumulative ranking curve (SUCRA). For comparing treatments in a network meta-analysis, we propose a frequentist analogue to SUCRA which we call P-score that works without resampling. METHODS: P-scores are based solely on the point estimates and standard errors of the frequentist network meta-analysis estimates under normality assumption and can easily be calculated as means of one-sided p-values. They measure the mean extent of certainty that a treatment is better than the competing treatments. RESULTS: Using case studies of network meta-analysis in diabetes and depression, we demonstrate that the numerical values of SUCRA and P-Score are nearly identical. CONCLUSIONS: Ranking treatments in frequentist network meta-analysis works without resampling. Like the SUCRA values, P-scores induce a ranking of all treatments that mostly follows that of the point estimates, but takes precision into account. However, neither SUCRA nor P-score offer a major advantage compared to looking at credible or confidence intervals.

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Fig. 1 Fictitious example. Two normal posterior distributions following N(0,1) (dashed) and N(0.5, 22) (continuous) with credible intervals. The probability that treatment A, corresponding to the flat distribution, is better than treatment B, corresponding to the steep distribution, is 59 %CC BY · PubMed Central

Fig. 2 Fictitious example: ROC curve. ROC curve and area under the curve (AUC) corresponding to the example of Fig. 1 (AUC = 0.59)CC BY · PubMed Central

Fig. 3 Diabetes data, analyzed with WinBUGS. Diabetes data, analyzed with WinBUGS and ordered by treatment effects (REM = random effects model, MCMC = Markov Chain Monte Carlo analysis with 3 chains, 40000 iterations, 10000 burn in iterations discarded). CI = credible interval (median and 2.5 % / 97.5 % quantiles). The estimated common variance between studies was σ 2=0.1221CC BY · PubMed Central

Fig. 4 Diabetes data, analyzed with R package netmeta. Diabetes data, analyzed with R package netmeta and ordered by treatment effects (REM = random effects model, CI = confidence interval). The estimated common between study variance was τ 2=0.1087CC BY · PubMed Central

Fig. 5 Depression data, analyzed with WinBUGS. Depression data, analyzed with WinBUGS (REM = random effects model, MCMC = Markov Chain Monte Carlo analysis with 3 chains, 40000 iterations, 10000 burn in iterations discarded). CI = credible interval (median and 2.5 % / 97.5 % quantiles). The estimated common between study variance was σ 2=0.2011CC BY · PubMed Central

Fig. 6 Depression data, analyzed with R package netmeta. Depression data, analyzed with R package netmeta (REM = random effects model, CI = confidence interval). The estimated common between study variance was τ 2=0.1875CC BY · PubMed Central

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Hinojosa-Gonzalez, D. E., Estrada-Mendizábal, R. J., Bueno‐Gutierrez, L. C., Roblesgil‐Medrano, A., Tellez‐Garcia, E., Galindo-Garza, C. A., Villarreal‐Espinosa, J. B., Rodriguez-Barreda, J. R., Ortiz-Perez, J. M., & Figueroa-Sanchez, J. A. (2023) · Spine Surgery and Related Research · doi:10.22603/ssrr.2022-0196 · Cited by 18
“Further high-quality evidence is needed to guide the selection of the optimal surgical approach, and the decision should remain an individualized process, considering several factors, such as surgeon experience and resource availability 28) .”
Palliative procedures for malignant gastric outlet obstruction: a network meta-analysis
Tran, K. V., Vo, N.-P., Nguyen, H. S., Vo, N. T., Thai, T. B. T., Pham, V. A., Loh, E., & Tam, K. (2024) · Endoscopy · doi:10.1055/a-2309-7683 · Cited by 18
Direct oral anticoagulants for cancer‐associated venous thromboembolisms: a systematic review and network meta‐analysis
Samaranayake, C. B., Anderson, J., McCabe, C., Zahir, S. F., Upham, J. W., & Keir, G. J. (2020) · Internal Medicine Journal · doi:10.1111/imj.15049 · Cited by 18
Diagnostic values of F-18 FDG PET or PET/CT, CT, and US for Preoperative Lymph Node Staging in Thyroid Cancer: A Network Meta-Analysis
Keun-young Kim, A., Shim, S. R., Lee, S., & Kim, S. (2021) · British Journal of Radiology · doi:10.1259/bjr.20201076 · Cited by 19
Calcitonin Gene-Related Peptide Monoclonal Antibodies Versus Botulinum Neurotoxin a in the Preventive Treatment of Chronic Migraine: An Adjusted Indirect Treatment Comparison Meta-Analysis
Chen, Y.-Y., Ye, X.-Q., Tang, T., She, T., Chen, M., & Zheng, H. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.671845 · Cited by 18
“We assessed the P-score of CGRPmAbs or BoNT-A, which measures the extent of certainty that a treatment is better than another (Rücker and Schwarzer, 2015) and is commonly used to rank treatments in a networkmeta-analysis.”
Method
Comparative efficacy of incretin drugs on glycemic control, body weight, and blood pressure in adults with overweight or obesity and with/without type 2 diabetes: a systematic review and network meta-analysis
Liu, S., Hu, J., Zhao, C., Liu, H., & He, C. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1513641 · Cited by 17
Effects of five types of exercise on vascular function in postmenopausal women: a network meta-analysis and systematic review of 32 randomized controlled trials
Sun, W., Han, Y., & Gu, S. (2024) · PeerJ · doi:10.7717/peerj.17621 · Cited by 23
“Consistency models are then used to evaluate the assumption of transitivity ( Rücker & Schwarzer, 2015 ).”
Method
Treatment modalities for patients with Persistent Spinal Pain Syndrome Type II: A systematic review and network meta-analysis
Goudman, L., Russo, M. A., Pilitsis, J. G., Eldabe, S. S., Duarte, R. V., Billot, M., Manuel Roulaud, B., Rigoard, P., & Moens, M. (2025) · Communications Medicine · doi:10.1038/s43856-025-00778-x · Cited by 17
The Most Efficacious Induction Chemotherapy Regimen for Locoregionally Advanced Nasopharyngeal Carcinoma: A Network Meta-Analysis
Choi, C., Chan, S.-K., Lam, K. O., Chan, S., Chau, S.-C., Kwong, D. L., Leung, T., Luk, M., Lee, A. W. M., & Lee, V. H.-F. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.626145 · Cited by 17
“using the P-score where regimens having higher P-score represent better performance (20).”
BackgroundMethod
Empiric antibiotics for community-acquired pneumonia in adult patients: a systematic review and a network meta-analysis
Montes-Andujar, L., Tinoco, E., Pravia, O. V. B., Saborido, C. M., Blanco-Schweizer, P., Segura, C., Silva, E. P., Reyes, V., Cobo, A. R., Zurdo, C., et al. (2021) · Thorax · doi:10.1136/thoraxjnl-2019-214054 · Cited by 19
Which cognitive behavioral therapy delivery formats work for depressive symptoms in dementia caregivers? A systematic review and network meta-analysis of randomized controlled trials
Sun, Y., Ji, M., Leng, M., & Wang, Z. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.04.055 · Cited by 17
Effect of Different Surface Treatments on the Long‐Term Repair Bond Strength of Aged Methacrylate‐Based Resin Composite Restorations: A Systematic Review and Network Meta‐analysis
Hadilou, M., Dolatabadi, A., Ghojazadeh, M., Hosseinifard, H., Oskoee, P. A., & Azar, F. P. (2022) · BioMed Research International · doi:10.1155/2022/7708643 · Cited by 17
“Higher P scores demonstrate a higher likelihood that the intervention is superior to other comparisons [41].”
Efficacy of different dexamethasone routes and doses in reducing the postoperative sequelae of impacted mandibular third-molar extraction
Almadhoon, H. W., Hamdallah, A., Eida, M. A., Al‐kafarna, M., Atallah, D. A., AbuIriban, R. W., Asla, M. M., Abdelsalam, A., Awad, A. A., Nawar, A. A., et al. (2022) · The Journal of the American Dental Association · doi:10.1016/j.adaj.2022.08.017 · Cited by 17
Combinatorial Effect of Prophylactic Interventions for Post-ERCP Pancreatitis among Patients with Risk Factors: A Network Meta-Analysis
Choi, J. H., Lee, S. H., Kim, J. S., Park, N., Lee, M. H., Lee, M. W., Cho, I. R., Paik, W. H., Ryu, J. K., & Kim, Y. (2022) · Gut and Liver · doi:10.5009/gnl220268 · Cited by 18
“15,16 Sensitivity analyses were performed on: (1) studies that were evaluated as having low level study specific risk of bias except for blinding-related categories, because bias for blinding was inevitable within comparison studies between prophylactic PS and control; and (2) with studies that…”
Reconstructive techniques following low anterior resection for carcinoma of the rectum: meta-analysis
Mathew, A., Ramachandra, D., Goyal, A., Karthyarth, M. N., Joseph, P., Rakesh, N. R., Kaushal, G., Agrawal, A., Bhadoria, A. S., & Dhar, P. (2023) · British journal of surgery · doi:10.1093/bjs/znac400 · Cited by 17
Treatment options for acute Rockwood type III-V acromioclavicular dislocations: a network meta-analysis of randomized controlled trials
Bi, A. S., Robinson, J., Anil, U., Hurley, E. T., Klifto, C. S., Gonzalez-Lomas, G. P., Alaia, M. J., Strauss, E. J., & Jazrawi, L. M. (2023) · Journal of Shoulder and Elbow Surgery · doi:10.1016/j.jse.2023.01.039 · Cited by 17
Comparative efficacies of 13 surgical interventions for primary congenital glaucoma in children: a network meta-analysis of randomized clinical trials
Lee, Y. J., Ha, A., Kang, D., Shim, S. R., Jeoung, J. W., Park, K. H., & Kim, Y. K. (2023) · International Journal of Surgery · doi:10.1097/js9.0000000000000283 · Cited by 17
“The P-score, as valued between 0 and 1, is the probability that a certain treatment is among the best ones([27,35]).”
Background
Denosumab, teriparatide and bisphosphonates for glucocorticoid-induced osteoporosis: a Bayesian network meta-analysis
Dong, L., Jiang, L., Xu, Z., & Zhang, X. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1336075 · Cited by 18
Bone-modifying agents for reducing bone loss in women with early and locally advanced breast cancer: a network meta-analysis
Adams, A., Jakob, T., Huth, A., Monsef, I., Ernst, M., Kopp, M., Caro-Valenzuela, J., Wöckel, A., & Skoetz, N. (2024) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013451.pub2 · Cited by 17
Comparative Efficacy of Neuromodulatory Strategies for Drug-Resistant Epilepsy: A Systematic Review and Meta-Analysis
Shi, J., Lu, D., Wei, P., Yang, Y., Dong, H., Lei, J., Sander, J. W. A. S., Shan, Y., & Zhao, G. (2024) · World Neurosurgery · doi:10.1016/j.wneu.2024.09.084 · Cited by 19
Comparative efficacy of adjuvant trastuzumab-containing chemotherapies for patients with early HER2-positive primary breast cancer: a network meta-analysis
Shen, Y., Fujii, T., Ueno, N. T., Tripathy, D., Fu, N., Zhou, H., Ning, J., & Xiao, L. (2018) · Breast Cancer Research and Treatment · doi:10.1007/s10549-018-4969-6 · Cited by 17
Individual patient data network meta-analysis using either restricted mean survival time difference or hazard ratios: is there a difference? A case study on locoregionally advanced nasopharyngeal carcinomas
Petit, C., Blanchard, P., Pignon, J., & Lueza, B. (2019) · Systematic Reviews · doi:10.1186/s13643-019-0984-x · Cited by 17
A comparison of open, laparoscopic and robotic total mesorectal excision: trial sequential analysis and network meta‐analysis
Zheng, B., Zhang, X., Wang, X., Ge, L., Wei, M., Bi, L., Deng, X., Wang, Q., Li, J., & Wang, Z. (2019) · Colorectal Disease · doi:10.1111/codi.14872 · Cited by 17
Effectiveness of AI-assisted rehabilitation for musculoskeletal disorders: a network meta-analysis of pain, range of motion, and functional outcomes
Luo, Z., Wang, Y., Zhang, T., & Wang, J. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1660524 · Cited by 21
Real-world oral anticoagulants for Asian patients with non-valvular atrial fibrillation
Kim, S. M., Jeon, E., Jung, J., & Lee, J. S. (2021) · Medicine · doi:10.1097/md.0000000000026883 · Cited by 16
“For each outcome, the interventions with higher P scores were considered more desirable compared to the others.([21]) The hierarchy of the treatments was determined using the P score, where a larger P score value represented a better rank.”
Single-injection regional analgesia techniques for mastectomy surgery
CASSAI, A. D., Zarantonello, F., Geraldini, F., Boscolo, A., Pasin, L., Pinto, S. D., Leardini, G., Basile, F., Disarò, L., Sella, N., et al. (2021) · European Journal of Anaesthesiology · doi:10.1097/eja.0000000000001644 · Cited by 16
EAES rapid guideline: systematic review, network meta-analysis, CINeMA and GRADE assessment, and European consensus on bariatric surgery–extension 2022
Carrano, F. M., Iossa, A., Lorenzo, N. D., Silecchia, G., Kontouli, K., Mavridis, D., Alarcón, I., Felsenreich, D. M., Sánchez-Cordero, S., Vincenzo, A. D., et al. (2022) · Surgical Endoscopy · doi:10.1007/s00464-022-09008-0 · Cited by 16
“We ranked all treatments in each outcome using p-scores [28].”
Method
Efficacy and Safety of Pharmacological and Physical Therapies for Bell's Palsy: A Bayesian Network Meta-Analysis
Shi, J., Lu, D., Chen, H., Shu, M., Xu, Y., Qian, J., Ouyang, K., Huang, H., Luo, Z., Wang, C., et al. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.868121 · Cited by 15
“NMA estimated the overall rankings of treatments by calculating the surface under the cumulative ranking curve (SUCRA) for each, which approaches one when a treatment is certain to be the best and zero when treatment is the worst (21).”
Method
Total hip arthroplasty has higher complication rates in stiff spine patients: a systematic review and network meta-analysis
Tsai, S. H. L., Lau, N. C., Chen, W., Chien, R.-S., Tischler, E. H., Fu, T., & Chen, D. W.-C. (2022) · Journal of Orthopaedic Surgery and Research · doi:10.1186/s13018-022-03237-8 · Cited by 16
“Network meta-analysis is an advanced form of meta-analysis in which three or more multiple comparisons are being compared with a common comparator [17].”
Comparative efficacy and safety of the artemisinin derivatives compared to quinine for treating severe malaria in children and adults: A systematic update of literature and network meta-analysis
Nyaaba, N., Andoh, N. E., Amoh, G. K. A., Amuzu, D. S. Y., Ansong, M., Ordóñez-Mena, J. M., & Hirst, J. A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0269391 · Cited by 16
“We chose not to use the Hasse diagram to combine rankings as prespecified in our protocol because it is not possible to give weight to most important outcomes and it compounds the limitations of the p-scores [38,75].”
Efficacy and safety of monotherapy and combination therapy of immune checkpoint inhibitors as first-line treatment for unresectable hepatocellular carcinoma: a systematic review, meta-analysis and network meta-analysis
Lei, Q., Yan, X. C., Zou, H., Jiang, Y., Lai, Y., Ung, C. O. L., & Hu, H. (2022) · Discover Oncology · doi:10.1007/s12672-022-00559-1 · Cited by 16
“The P-score depended on the estimating result and confidence interval of the effect value, from 0 to 1, indicating a progressive increase in the efficacy of the included drugs [30].”
Background
Probiotics and rifaximin for the prevention of travelers’ diarrhea: A systematic review and network meta-analysis
Fan, H., Gao, L., Yin, Z., Ye, S., Zhao, H., & Qi, P. (2022) · Medicine · doi:10.1097/md.0000000000030921 · Cited by 17
“The comparative effectiveness of the treatments were ranked by using P-score, an index of the mean probability that a treatment is the most efficacious treatment in all of the included treatments.[10] The consistency of the network meta-analysis was checked by comparing the estimates from indirect evidence with those…”
Method
Comparison of doublet and triplet therapies for metastatic hormone-sensitive prostate cancer: A systematic review and network meta-analysis
Wang, L., Li, C., Zhao, Z., Li, X., Tang, C., Guan, Z., Sun, F., Gu, J., & Li, N.-C. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1104242 · Cited by 16
Comparing bronchial thermoplasty with biologicals for severe asthma: Systematic review and network meta-analysis
Fong, K. Y., Zhao, J. J., Syn, N. L. X., Nair, P. K., Chan, Y. H., & Lee, P. (2023) · Respiratory Medicine · doi:10.1016/j.rmed.2023.107302 · Cited by 16
Comparison of nutritional supplements in improving glycolipid metabolism and endocrine function in polycystic ovary syndrome: a systematic review and network meta-analysis
Hu, X., Wang, W., Su, X., Peng, H., Tan, Z., Li, Y.-Q., & Huang, Y. (2023) · PeerJ · doi:10.7717/peerj.16410 · Cited by 20
“A higher SUCRA value denotes a higher ranking ( Rücker & Schwarzer, 2015 ; Trinquart et al., 2016 ).”
Background
Comparative Effectiveness of Cognitive Behavioral Therapy and Behavioral Therapy in Obesity: A Systematic Review and Network Meta-Analysis
Cha, J.-Y., Kim, S.-Y., Lim, Y.-W., Choi, K.-H., & Shin, I. (2024) · Journal of Clinical Psychology in Medical Settings · doi:10.1007/s10880-023-10000-6 · Cited by 16
“The relative ranking of each intervention was performed using a P-score, with higher P-scores indicating greater effectiveness (Rücker & Schwarzer, 2015).”
A Systematic Review and Bayesian Network Meta-Analysis Comparing In-Person, Remote, and Blended Interventions in Physical Activity, Diet, Education, and Behavioral Modification on Gestational Weight Gain among Overweight or Obese Pregnant Individuals
Yu, H., Li, M., Qian, G., Yue, S., Ossowski, Z. M., & Szumilewicz, A. (2024) · Advances in Nutrition · doi:10.1016/j.advnut.2024.100253 · Cited by 20
Manual toothbrushing techniques for plaque removal and the prevention of gingivitis—A systematic review with network meta-analysis
Deinzer, R., Weik, U., Eidenhardt, Z., Leufkens, D., & Sälzer, S. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306302 · Cited by 19
The analgetic effect of adjuvants in local infiltration analgesia - a systematic review with network meta-analysis of randomized trials
Schubert, A., Wiesmann, T., Wulf, H., Obert, J. D. A., Eberhart, L. H. J., Volk, T. J., & Dinges, H. (2024) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2024.111531 · Cited by 16
Effects of Non‐Pharmacological Interventions on the Swallowing Function of Patients With Post‐Stroke Dysphagia: A Systematic Review and Network Meta‐Analysis
Zhang, B., Wong, K. P., Guo, C., Chen, S., Fu, S., Kang, R., Xiao, Q., & Qin, J. (2024) · Journal of Oral Rehabilitation · doi:10.1111/joor.13901 · Cited by 16
“The higher the SUCRA score, the larger the area under the curve, indicating a higher likelihood that the intervention method was the best [32].”
Efficacy of Dietary Interventions for Irritable Bowel Syndrome: A Systematic Review and Network Meta-Analysis
Haghbin, H., Hasan, F., Gangwani, M. K., Zakirkhodjaev, N., Lee‐Smith, W., Beran, A., Kamal, F., Hart, B. R., & Aziz, M. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13247531 · Cited by 16
Optimal Strategy for Complete Revascularization in ST-Segment Elevation Myocardial Infarction and Multivessel Disease
Ueyama, H. A., Akita, K., Kiyohara, Y., Takagi, H., Briasoulis, Α., Wiley, J., Bangalore, S., Mehran, R., Stone, G. W., Kuno, T., et al. (2025) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2024.09.1231 · Cited by 15
Network meta-analysis of urinary retention and mortality after Lichtenstein repair of inguinal hernia under local, regional or general anaesthesia
Olsen, J. H. H., Öberg, S., Andresen, K., Klausen, T. W., & Rosenberg, J. (2019) · British journal of surgery · doi:10.1002/bjs.11308 · Cited by 16
Efficacy and safety of non-pharmacological interventions for irritable bowel syndrome in adults
Dai, Y., Wu, Y., Li, R., Chen, W., Tang, C., Lu, L., & Hu, L. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i41.6488 · Cited by 17
Graft Patency of a Second Conduit for Coronary Artery Bypass Surgery: A Network Meta-Analysis of Randomized Controlled Trials
Yokoyama, Y., Takagi, H., & Kuno, T. (2021) · Seminars in Thoracic and Cardiovascular Surgery · doi:10.1053/j.semtcvs.2021.02.002 · Cited by 16
Sessile serrated adenoma/polyp detection rate of water exchange, Endocuff, and cap colonoscopy: A network meta‐analysis
Shao, P., Shao, C. R., Romero, T., & Leung, F. W. (2021) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.15702 · Cited by 16
Network meta-analysis: efficacy of treatment for acute, chronic, and prevention of pouchitis in ulcerative colitis
Poo, S. X. W., Sriranganathan, D., & Segal, J. P. (2022) · European Journal of Gastroenterology & Hepatology · doi:10.1097/meg.0000000000002362 · Cited by 16
Antithrombotic therapy for secondary prevention in patients with stroke or transient ischemic attack: A multiple treatment network meta-analysis of randomized controlled trials
Tornyos, D., Komócsi, A., Bálint, A., Kupó, P., Abdallaoui, O. E. A. E., Szapáry, L. B., & Szapáry, L. B. (2022) · PLoS ONE · doi:10.1371/journal.pone.0273103 · Cited by 18
“P-scores reflect the certainty that one treatment protocol is better than another strategy, averaged over all competing therapies, a method that is equivalent to the surface under the cumulative ranking curve (SUCRA) [20].”
Method
Efficacy and Safety of Injectable and Oral Antibiotics in Treating Gonorrhea: A Systematic Review and Network Meta-Analysis
Yang, J., Dhital, S., & Naderer, T. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8122182 · Cited by 16
“They measure the extent of certainty that a treatment is better than another treatment, averaged over all competing treatments [26].”
Background
Comparative efficacy and safety of pulmonary surfactant delivery strategies in neonatal RDS: a network meta-analysis
Liu, S., Wang, Y., Zhu, X., Chen, F., & Shi, Y. (2024) · BMC Pulmonary Medicine · doi:10.1186/s12890-024-03429-4 · Cited by 15

Authors: Rücker, G., & Schwarzer, G.
Affiliations: University of Freiburg (DE)
Corresponding author: Rücker, Gerta
ORCID: Rücker, Gerta
Schwarzer, Guido
Venue: BMC Medical Research Methodology
Publisher: Springer Science and Business Media LLC
Published: 2015-07-31
Volume: 15
Issue: 1
Pages: 58-58
ISSN: 1471-2288 (ISSN-L)
DOI: 10.1186/s12874-015-0060-8
PMC: PMC4521472
OpenAlex: W2111999709
Cited by: 1,732
References: 32
Citations by year: 2026: 249 · 2025: 253 · 2024: 267 · 2023: 229 · 2022: 226 · 2021: 191 · 2020: 148 · 2019: 76 · 2018: 52 · 2017: 32 · 2016: 8 · 2015: 1
FWCI: 28.58
Type: journal article
Language: en
Open access: gold
doi.org
Licence: other-oa
creativecommons.org/licenses/by/4.0 (unspecified)
Locations: BMC Medical Research Methodology (publishedVersion, other-oa)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion)
Funders: Deutsche Forschungsgemeinschaft (RU1747/1-1)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Social Sciences › Sociology and Political Science › Delphi Technique in Research
Keywords: treatment ranking, P-score, surface under the cumulative ranking curve, confidence intervals, diabetes mellitus, depression
MeSH terms: Algorithms, Bayes Theorem, Biometry, Data Interpretation, Statistical, Humans, Review Literature as Topic, Meta-Analysis as Topic, Reproducibility of Results, Biomedical Research

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Ranking treatments in frequentist network meta-analysis works without resampling methods

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