[PDF] Top 20 Hypothesis testing in Bayesian network meta-analysis

... In conclusion, we proposed and discussed an index that can be used to test for superiority or non-inferiority of a treatment arm compared to another one within a Bayesian NMA. The estimation is done during the NMA ... See full document

... A network meta-analysis with a Bayesian framework with Aggregate Data Drug Information System (ADDIS, version ...the Bayesian framework and the Markov chain Monte Carlo method which can ... See full document

... The hypothesis of preferential attachment (PA) - whereby better connected individuals make more connections - is hotly debated, particularly in the context of epidemiological ...careful analysis of the best ... See full document

... the analysis and no adjustment is applied. An advantage of the Bayesian approach is that special precautions do not usually need to be taken in the case of the occasional trial with a zero cell count ...the ... See full document

... A Bayesian network meta-analysis (NMA) using unin- formative priors was conducted in WinBUGS version ...standard meta-analyses evaluate the relative efficacy of just two treatments ... See full document

... our analysis suggest- ing that the administration of aerosolized antibiotics such as colistin or tobramycin instead of the administra- tion of intravenous antibiotics might be a good option for the treatment of ... See full document

... pairwise meta-analyses were conducted by exam- ining several drugs with different mechanisms of action as a single group, which cannot present the efficacy of each prokinetic agent [8, ... See full document

... For network meta-analysis, the treatment effects were estimated by posterior means with corresponding 95% credible intervals (CrIs), which can be interpreted as conventional 95% confidence intervals ... See full document

... events, Bayesian methods have additional advantages such as the ability to better handle studies with zero cells and the potential for including any relevant prior ...with Bayesian approaches typically ... See full document

... quantitative analysis of various research results on the same topic using Meta - ...Methods/Statistical analysis: In this study, 96papers on the topics of 'consultant competency' and 'consulting ... See full document

... to analysis gender sensitivity to type II diabetes ...incorporating Bayesian Statistical Technique to determine the hypothesis testing, credible interval and posterior probability distribution ... See full document

... This network meta-analysis attempted to analyze the effectiveness of different antifungal drugs in the treatment of VVC and to provide an evidence-based reference for clinical ...Our analysis ... See full document

... A Bayesian method for mapping linked quantitative trait loci (QTL) using multiple linked genetic markers is presented.. Parameter estimation and hypothesis testing was [r] ... See full document

... continuous Bayesian networks and hypothesis testing, which can mitigate such situations by providing the engineer with a more detailed understanding of the probability of each fault ... See full document

... Bayesian statistical model applies Monte Carlo simulations, which converge the direct (A versus B) and indirect (A versus C, C versus B) evidence with the likelihood-effect estimate, and provides a modeled ... See full document

... the analysis should include all available treatment options; and the evidence synthe- sis should be based on all the available evidence ...PMA meta-analyses may however fall short in these two ...PMA ... See full document

... the network that was established in this study to compare the IC + CCRT, CCRT, CCRT + AC, and RT alone ...the network results, the IC + CCRT regimen was ranked to be the best choice, CCRT + AC ranked second ... See full document

... Pioneers of machine learning were playing with ideas: new approaches, such as induc- tion of classification trees, were worthy of publication for the sake of their interestingness. As the field progressed and found more ... See full document

... A Bayesian network meta-analysis was carried out to assess the relative efficacy and tolerability of SGAs (eg, aripiprazole, blonanserin, clozapine, clocapramine, mosapramine, olanzapine, ... See full document

... Our review had a number of strengths and limitations. Because of the frequent usage of the search terms of interest (mean, standard deviation) in manuscript text it was a challenge to develop a sufficiently specific ... See full document