Estimating the cost-effectiveness of lifestyle intervention programmes to prevent diabetes based on an example from Germany: Markov modelling

Table 4 Chosen distributions for model input parameters

Parameter¹	Deterministic value	Standard Error	Distribution	Alpha	Beta
Ngt2igt	0.163	0.037	Beta	16.28	83.72
Igt2ngt	0.162	0.037	Beta	16.23	83.77
Igt2t2d	0.062	0.024	Beta	6.23	93.77
T2d2igt	0.005	0.007	Beta	0.50	99.50
cNGT	EUR1,744.21.00	EUR1,744.21	Gamma	1.00	1744.21
cIGT	EUR2,696.48	EUR2,696.48	Gamma	1.00	2696.48
cT2D	EUR 5,896.48	EUR5,861.92	Gamma	1.00	5861.92
Cost of intervention	EUR230.03	EUR230.03	Gamma	1.00	230.03
	Mean		Methods of moments
uNGT, men	0.772	0.004	Beta	7067.38	2087.26
uNGT, women	0.747	0.004	Beta	7342.67	2486.87
uIGT, men	0.764	0.006	Beta	3458.69	1066.73
uIGT, women	0.740	0.006	Beta	3578.37	1260.34
uT2D, men	0.724	0.010	Beta	1400.32	533.82
uT2D, women	0.701	0.010	Beta	1422.19	606.61

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