BMC Medical Research Methodology

Table 2 Simulated type I error rates of the testing approach in specific scenarios

From: Hypothesis testing in Bayesian network meta-analysis

n _ik	p_iP, p_iS	Δ	contrast-based	arm-based
1000	0.2	log(0.9)	0.024	0.024
		log(1)	0.024	0.024
		log(1.1)	0.024	0.025
200	0.1	log(0.9)	0.023	0.025
		log(0.95)	0.022	0.025
		log(1)	0.022	0.026
		log(1.05)	0.021	0.025
		log(1.1)	0.023	0.026
400	0.05	log(0.5)	0.032	0.024
		log(2)	0.017	0.028

n_ik denotes the number of treatment arms, p_iP and p_iS the success rates in arm P and S, respectively, in trial i (i=1,…,16), and Δ is the non-inferiority or superiority margin, respectively. We used 50,000 simulated data sets to estimate the type I error rate. The nominal level of α was 0.025

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