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Truong, Bang; Tran, Lan-Anh T.; Le, Tuan Anh; Pham, Thi Thu; Vo, Tat-Thang – Research Synthesis Methods, 2023
In health technology assessment (HTA), population-adjusted indirect comparisons (PAICs) are increasingly considered to adjust for the difference in the target population between studies. We aim to assess the conduct and reporting of PAICs in recent HTA practice, by performing, a methodological systematic review of studies implementing PAICs from…
Descriptors: Health, Technology, Evaluation, Research
Li, Hua; Shih, Ming-Chieh; Tu, Yu-Kang – Research Synthesis Methods, 2023
Component network meta-analysis (CNMA) compares treatments comprising multiple components and estimates the effects of individual components. For network meta-analysis, a standard network plot with nodes for treatments and edges for direct comparisons between treatments is drawn to visualize the evidence structure and the connections between…
Descriptors: Networks, Meta Analysis, Graphs, Comparative Analysis
Vali, Yasaman; Yang, Bada; Olsen, Maria; Leeflang, Mariska M. G.; Bossuyt, Patrick M. M. – Research Synthesis Methods, 2021
Comparative accuracy studies evaluate the relative performance of two or more diagnostic tests. As any other form of research, such studies should be reported in an informative manner, to allow replication and to be useful for decision-making. In this study we aimed to assess whether and how components of test comparisons were reported in…
Descriptors: Comparative Analysis, Accuracy, Diagnostic Tests, Decision Making
Liu, Shifeng; Bourgeois, Florence T.; Dunn, Adam G. – Research Synthesis Methods, 2022
A substantial proportion of trial registrations are not linked to corresponding published articles, limiting analyses and new tools. Our aim was to develop a method for finding articles reporting the results of trials that are registered on ClinicalTrials.gov when they do not include metadata links. We used a set of 27,280 trial registration and…
Descriptors: Medical Research, Web Sites, Identification, Computational Linguistics
Veroniki, Areti Angeliki; Jackson, Dan; Bender, Ralf; Kuss, Oliver; Langan, Dean; Higgins, Julian P. T.; Knapp, Guido; Salanti, Georgia – Research Synthesis Methods, 2019
Meta-analyses are an important tool within systematic reviews to estimate the overall effect size and its confidence interval for an outcome of interest. If heterogeneity between the results of the relevant studies is anticipated, then a random-effects model is often preferred for analysis. In this model, a prediction interval for the true effect…
Descriptors: Meta Analysis, Effect Size, Simulation, Comparative Analysis
Albert, Isabelle; Makowski, David – Research Synthesis Methods, 2019
The mixed treatment comparison (MTC) method has been proposed to combine results across trials comparing several treatments. MTC allows coherent judgments on which of the treatments is the most effective. It produces estimates of the relative effects of each treatment compared with every other treatment by pooling direct and indirect evidence. In…
Descriptors: Research Methodology, Agriculture, Agricultural Production, Comparative Analysis
Nejstgaard, Camilla Hansen; Lundh, Andreas; Abdi, Suhayb; Clayton, Gemma; Gelle, Mustafe Hassan Adan; Laursen, David Ruben Teindl; Olorisade, Babatunde Kazeem; Savovic, Jelena; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2022
Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…
Descriptors: Medical Research, Randomized Controlled Trials, Corporations, Financial Support
Piepho, Hans-Peter; Madden, Laurence V. – Research Synthesis Methods, 2022
Network meta-analysis is a popular method to synthesize the information obtained in a systematic review of studies (e.g., randomized clinical trials) involving subsets of multiple treatments of interest. The dominant method of analysis employs within-study information on treatment contrasts and integrates this over a network of studies. One…
Descriptors: Medical Research, Meta Analysis, Networks, Drug Therapy
de Jong, Valentijn M. T.; Moons, Karel G. M.; Riley, Richard D.; Tudur Smith, Catrin; Marson, Anthony G.; Eijkemans, Marinus J. C.; Debray, Thomas P. A. – Research Synthesis Methods, 2020
Many randomized trials evaluate an intervention effect on time-to-event outcomes. Individual participant data (IPD) from such trials can be obtained and combined in a so-called IPD meta-analysis (IPD-MA), to summarize the overall intervention effect. We performed a narrative literature review to provide an overview of methods for conducting an…
Descriptors: Meta Analysis, Intervention, Randomized Controlled Trials, Guidelines
Langan, Dean; Higgins, Julian P. T.; Jackson, Dan; Bowden, Jack; Veroniki, Areti Angeliki; Kontopantelis, Evangelos; Viechtbauer, Wolfgang; Simmonds, Mark – Research Synthesis Methods, 2019
Studies combined in a meta-analysis often have differences in their design and conduct that can lead to heterogeneous results. A random-effects model accounts for these differences in the underlying study effects, which includes a heterogeneity variance parameter. The DerSimonian-Laird method is often used to estimate the heterogeneity variance,…
Descriptors: Simulation, Meta Analysis, Health, Comparative Analysis
Kosch, Robin; Jung, Klaus – Research Synthesis Methods, 2019
Research synthesis, eg, by meta-analysis, is more and more considered in the area of high-dimensional data from molecular research such as gene and protein expression data, especially because most studies and experiments are performed with very small sample sizes. In contrast to most clinical and epidemiological trials, raw data are often…
Descriptors: Genetics, Meta Analysis, Molecular Structure, Scientific Research
Langan, Dean; Higgins, Julian P. T.; Simmonds, Mark – Research Synthesis Methods, 2017
Random-effects meta-analysis methods include an estimate of between-study heterogeneity variance. We present a systematic review of simulation studies comparing the performance of different estimation methods for this parameter. We summarise the performance of methods in relation to estimation of heterogeneity and of the overall effect estimate,…
Descriptors: Meta Analysis, Simulation, Comparative Analysis, Intervals
Biocic, Marina; Fidahic, Mahir; Cikes, Karla; Puljak, Livia – Research Synthesis Methods, 2019
Background: It has been reported that information sources searched in systematic reviews (SRs) are insufficiently comprehensive. We analyzed information sources used in SRs, as well as how up-to-date were the searches. Methods: We searched PubMed and the Cochrane Database of Systematic Reviews (CDSR) through Wiley from 2012 to 2016 to find SRs of…
Descriptors: Pain, Case Studies, Anesthesiology, Databases
Veroniki, Areti Angeliki; Jackson, Dan; Viechtbauer, Wolfgang; Bender, Ralf; Bowden, Jack; Knapp, Guido; Kuss, Oliver; Higgins, Julian P. T.; Langan, Dean; Salanti, Georgia – Research Synthesis Methods, 2016
Meta-analyses are typically used to estimate the overall/mean of an outcome of interest. However, inference about between-study variability, which is typically modelled using a between-study variance parameter, is usually an additional aim. The DerSimonian and Laird method, currently widely used by default to estimate the between-study variance,…
Descriptors: Meta Analysis, Methods, Computation, Simulation
Langan, Dean; Higgins, Julian P. T.; Simmonds, Mark – Research Synthesis Methods, 2015
Heterogeneity in meta-analysis is most commonly estimated using a moment-based approach described by DerSimonian and Laird. However, this method has been shown to produce biased estimates. Alternative methods to estimate heterogeneity include the restricted maximum likelihood approach and those proposed by Paule and Mandel, Sidik and Jonkman, and…
Descriptors: Meta Analysis, Comparative Analysis, Maximum Likelihood Statistics, Probability
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