Furthermore, we present a simple method based on informative priors as part of the network meta-analysis model to down-weight the detected outliers. We conduct extensive simulations to evaluate the effectiveness
When P > 0.05, a consistency model and random-effects model were used for the network meta-analysis (NMA), with four chains, 50,000 iterations, and a burn-in of 20,000 iterations per chain. Model convergence was assessed using the Brooks–Gelman–Rubin method, with potential scale ...
Network meta-analysis of parametric survival curves. Res synth meth ▶ Parmar M, Torri V, Stewart L (1998). Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat Med ▶ Perren TJ, Swart AM, Pfisterer J, et al. (2011). A phase ...
In previous years, there has been a growing effort to develop methods for systematically missing data in the meta–analysis field. Focusing on the issue of the different availability of covariates in a regression model across studies, previously proposed methods yielded promising results (Jolani, Debr...
The method of Markov Chain Monte Carlo (MCMC) was utilized for modeling, with 4 Markov chains running simultaneously. The annealing times were established at 20,000, and modeling was concluded after 50,000 simulated iterations. Network meta-analysis employed a Bayesian random effects model to compa...
Table 5. Network meta-analysis of the AE (OR and 95% CIs). CP Empty Cell Empty Cell Empty Cell Empty Cell Empty Cell 1.14 (0.21, 5.64) Curcumin 2.44 (0.31, 26.15) 2.14 (0.34, 19.85) Curcumin + CP 2.49 (0.25, 23.16) 2.19 (0.47, 9.96) 1 (0.07, 11.58) Curcumin + NSAIDs 0....
Based on multivariate unconditional logistic regression analysis, a hyperlipidemia Bayesian network model was constructed using the Max-Min Hill-Climbing (MMHC) algorithm to analyze the network relationship of influencing factors for hyperlipidemia in the local elderly population and predict their disease ...
Bayesian Network model of factors relating to dyslipidemia. The figure was plotted using Weka 3.8.0 (https://www.cs.waikato.ac.nz/ml/weka/). Full size image Reasoning model Marginal probabilities of the variables are shown in Fig. 4. It can be seen that the marginal probability of hyperlip...
According to the taboo search algorithm, the model is optimized to find the optimal model. Parameter learning: Based on structural learning, the maximum likelihood estimation method is used to calculate the conditional probability of each node of the network. Tabu-Search algorithm Tabu-Search (TS)...
Network meta-analysis NXT: Naoxintong capsule OMT: Optimal drug therapy PBO: Placebo PS: Pushen capsule RCTs: Randomized controlled trials SUCRA: Surface under the cumulative ranking SXBX: Shexiang baoxin pill TC: Total cholesterol TCM: